AI pricing facts & trivia

01.AI's Yi-Lightning was priced at just ¥0.99 per million tokens (~$0.14) in October 2024 — a signature shot in the 2024 China LLM price war, undercutting GPT-4o-mini's $0.26 and roughly 1/30th of GPT-4's $4.40.

Kai-Fu Lee said 01.AI trained a top-tier model on about 2,000 GPUs for roughly $3 million, versus an estimated $80–100 million for comparable OpenAI runs — the cost-efficiency thesis behind its cheap token rates.

The Yi open-weight models are free to download under Apache 2.0 on HuggingFace, where Yi-34B ranked first on the pretrained base-model board at its November 2023 release — adoption seeded by giving the artifact away.

In early 2025 Kai-Fu Lee declared frontier pre-training affordable only for tech giants, scaled it back, and formed an Alibaba Cloud industrial-model lab — pivoting 01.AI to vertical enterprise solutions in finance, energy, and gaming.

01.AI hit unicorn status (over $1B valuation) within eight months of launching in March 2023, with Alibaba and Xiaomi among its backers.

11x publishes no price anywhere — its homepage has no pricing link and the /pricing path 404s, so every quote runs through a Book-a-Demo form that asks which CRM you use before it talks numbers.

11x sells 'digital workers' as named personas — Alice the outbound AI SDR and Julian the inbound AI phone agent — rather than as seats or API credits, framing the buy as hiring a worker, not licensing software.

11x raised a $24M Series A led by Benchmark and a $50M Series B led by a16z (Nov 2024, ~$350M valuation), and advertises '$70M+ raised' in its own site banner.

In March 2025 TechCrunch reported 11x was displaying logos of companies — ZoomInfo and Airtable among them — that said they were not customers; ZoomInfo's lawyer threatened legal action over the unauthorized logo.

An employee told TechCrunch 11x counted full one-year contract value as ARR even for customers who had exercised a 90-day break clause, so a stated ~$14M ARR may have reflected only ~$3M of contracts that cleared the trial.

1X is one of the very first humanoid-robotics companies to publish a real consumer price — NEO is $20,000 outright or $499/month — at a time when nearly every rival (Figure, Apptronik, Sanctuary AI) keeps humanoid pricing entirely behind sales.

Despite publishing that price, 1X has no /pricing page: 1x.tech/pricing returns a 404, and the actual dollar figures live on the NEO product and order pages instead.

The $499/month subscription is effectively Robotics-as-a-Service for the living room — a six-month-minimum monthly fee for a home humanoid, mirroring how 1X's enterprise EVE robot is leased to industrial customers.

NEO buyers are told upfront that human teleoperators ('Expert Mode') will guide the robot — and can see inside their homes — at launch; 1X offers person-blur, owner no-go zones, and approval-gated operator control as privacy mitigations.

1X started life in 2014 as Norway's Halodi Robotics, rebranded to 1X in 2022, and moved its HQ to Palo Alto in 2025 — and has been OpenAI-backed since a 2023 round led by the OpenAI Startup Fund.

By July 2026 6sense had removed even its free Sales Intelligence tier (50 data credits/mo, Start for Free) from the pricing page — the page now publishes NO dollar figures and NO free entry at all, routing all three Sales Intelligence bundles to Book a Demo.

6sense meters paid Sales Intelligence in data credits that are spent to unlock and export contact emails, phone numbers, and enriched company/contact records — a genuine consumption meter sitting behind a fully sales-gated wall.

6sense structures its paid Sales Intelligence bundles as three additive combinations of the same parts: Predictive AI, Data Credits, and Sales Copilot — you buy the intersection you need rather than a linear Good/Better/Best ladder.

6sense was named a Leader in The Forrester Wave: Revenue Marketing Platforms for B2B, Q1 2026 — a category it helped define around predictive account scoring and buyer-intent data.

Much of what 6sense now sells as AI it bought: Slintel (2021) supplied the buyer-intent and technographic data behind its credits, and Saleswhale (2022) became 6sense Conversational Email — the lineage of today's AI Writer and AI Email Agents.

6sense reached a $5.2 billion valuation on a $200M Series E in January 2022 — announced the same week as the Saleswhale acquisition — yet still publishes zero dollar figures on its pricing page four years later.

Third-party trackers agree 6sense quietly retired its named Team/Growth/Enterprise tiers around May 2025 for a single additive license — a packaging change visible only because outside reviewers documented it, since 6sense itself never priced those tiers publicly.

Founder Amanda Kahlow left 6sense in 2020 and in 2025 raised $30M for a new 'human-replacement' AI sales startup, 1mind — a reminder that the ABM incumbent's DNA keeps spinning out into agentic sales AI.

Abacus.AI launched in 2019 as RealityEngines.ai, an enterprise AutoML platform, and only rebranded to Abacus.AI alongside its $13M Series A in July 2020 — the consumer ChatLLM seat came years later.

In July 2025 Abacus.AI raised a $101M Series C led by IVP at a $605M valuation, with a16z, GV, Lightspeed, ICONIQ and Snowflake's Frank Slootman participating — yet its flagship consumer seat still lists at just $10/month.

ChatLLM Teams has no seat cap and bills new invited users immediately at $10/user/month, so a Teams admin's monthly bill scales the instant they add a colleague — there is no monthly batching.

The same $10–$20/month ChatLLM seat fronts every frontier model (GPT, Opus, Gemini, Grok, DeepSeek, Qwen, Kimi) plus top image and video generators — Abacus claims it updates to a new LLM 24–48 hours after release.

Between March and June 2026 Abacus.AI quietly raised the Pro tier's monthly credit pool from 25,000 to 30,000 credits and renamed its bundled 'DeepAgent' to 'AI Agent' in the pricing UI — the seat price stayed at $20.

Abridge has no /pricing page at all — every plan, product, and contact path on the site routes to 'Contact Us'. Pricing is 100% sales-only and negotiated per health-system deal.

Its $5.3B valuation (June 2025 Series E) nearly doubled the $2.75B set just four months earlier at Series D — among the fastest valuation jumps in health-AI history.

Abridge is deployed at 150+ health systems — Mayo Clinic (2,000+ physicians), Duke Health (5,000 clinicians across 150 locations), Johns Hopkins, Kaiser — and was named #1 Best in KLAS for Ambient AI in Revenue Cycle two years running.

Ada publishes no price table — the /pricing URL is a book-a-consultation form, not a plan grid.

Third-party purchase aggregators put Ada's median deal near $70,000-$72,000 per year, with large deployments reaching $250,000-$277,000.

Until late 2023 Ada's pricing page showed three named tiers — Core, Advanced, Pro — before it pivoted to an outcome-based, resolution-priced model.

Ada self-qualifies leads by scale, stating it is a great fit for companies with at least 300,000 annual customer service conversations.

Ada became a Canadian unicorn with a $130M Series C at a $1.2B valuation in May 2021, led by Spark Capital.

AdCreative.ai never sells a permanent free plan — every pricing CTA routes into a time-limited trial, and the value metric is the download (a credit), not generation, which is uncapped.

Appier acquired the Paris-based company for $38.7M in a deal announced 2026-02-12 (closed ~2026-03), pricing it well above its disclosed ~$3.3M in venture funding.

The top Ultimate tier's monthly headline jumped from $599 to $999 between late 2025 and early 2026 — a 67% increase — while the Starter and Professional headlines held at $39 and $249.

AdCreative.ai renamed its core billing unit from 'Downloads' to 'Credits' across the pricing page in late 2025 without changing the underlying mechanic (one unit spent per asset downloaded).

Its yearly discount is a standing 50% off — so steep that the annual commitment, not the monthly rate, is effectively the list price the company wants you to anchor on.

Adept's flagship ACT-1 was pitched as a 'large model for actions' — instead of writing text, it clicked, typed and navigated real software UIs to complete multi-tool workflows on a user's behalf.

Adept raised over 415 million dollars and hit a ~1 billion dollar valuation without ever publishing a price or shipping a generally-available product.

Amazon's 2024 deal wasn't an acquisition on paper: it hired the founders and licensed the tech, then routed roughly 25 million dollars so Adept's investors could break even — an arrangement the FTC probed as a possible disguised acquisition, echoing Microsoft–Inflection.

Three of the biggest AI labs circled Adept — it reportedly held acquisition talks with Meta and Microsoft before Amazon took the team and the technology.

In February 2026, founder David Luan left Amazon's AGI lab — another exit tied back to the original Adept deal, less than two years after joining.

GXO Logistics' June 2024 agreement with Agility was billed as the industry's first formal commercial humanoid deployment AND the first humanoid Robots-as-a-Service deal — Digit went to work moving totes at a Spanx facility, yet neither company disclosed the price or the number of robots.

The '$30/hour' everyone quotes for Digit is not Digit's price — CEO Peggy Johnson used it as the fully-loaded cost of a human worker the robot's RaaS aims to beat with an 'under 2-year' payback. Agility has never published an actual RaaS rate.

Agility built RoboFab in Salem, Oregon — pitched as the first factory designed to mass-produce humanoid robots — using a modular 'ARMS' assembly system, so its supply of priceless-on-the-website robots is vertically integrated.

Digit runs on a charge-rotation ratio (roughly two robots working while one charges today), which Agility wants to push toward 4:1 and eventually 10:1 — a fleet-utilization metric that quietly underpins the economics of any per-hour RaaS price it might one day publish.

Agility's ~$2.12B-valued Series C drew Amazon, NVIDIA (NVentures) and Sony all onto the same cap table — a warehouse-robot company funded simultaneously by the world's largest warehouse operator and two chip/electronics giants.

AI21 Labs was co-founded in 2017 by Stanford professor Yoav Shoham, Ori Goshen, and Mobileye founder Amnon Shashua — making it one of the few foundation-model labs with a serial deep-tech founder team.

AI21 advertises a pricing edge in the tokenizer itself: it claims an average token covers ~1 word / 6 English characters, ~30% more text per token than other providers — so the same workload costs ~30% fewer tokens.

Jamba (March 2024) was the first production-grade hybrid Mamba SSM + Transformer mixture-of-experts model, pairing a 256,000-token context window with open weights under the Jamba Open Model License.

AI21 raised a $208M Series C in 2023 at a $1.4B valuation, with Google, Nvidia, and Intel Capital among backers, funding its pivot from consumer Wordtune toward enterprise Jamba and Maestro.

Maestro, AI21's agentic orchestration system, ditches per-token pricing for a 'budget' dial that trades speed against cost and reliability — and went GA inside customers' own Amazon VPCs in December 2025.

Aider is free and open-source under an Apache-2.0 license — the software itself never charges you anything; the only cost is your own LLM API tokens, paid to the model provider, not to Aider.

Aider writes roughly 70% of its own new code each release, with the changes committed to git with proper attribution — a public log even shows which models Paul Gauthier used to build it.

Aider's polyglot leaderboard publishes a dollar cost per model to run its 225-problem benchmark: DeepSeek finishes for under $1.50 while o3-pro costs ~$146 — a ~100x spread for the same tool.

The 'Aider: AI pair programming in your terminal' Show HN hit 432 points in April 2024, and aider's benchmark results regularly reach the HN front page when new models ship.

You can run Aider at zero token cost using local models via Ollama, or free API tiers like OpenRouter free models and Google's Gemini 2.5 Pro Exp — so the practical floor on running it is $0.

AiSDR's first public pricing (2024) was a single $750/mo BASIC tier metered purely on emails sent — 1,000 emails/month with $7.50 overage per 10 emails — not the contact-based tiers it sells today.

The meter has been repriced twice in under two years: emails/month (2024) → AI messages + lead-search credits (early 2026) → AI-researched contacts/month (mid-2026).

AiSDR positions its $250 Solo plan against a fully-loaded human SDR (~$6,000/mo) and a DIY tool stack (~$1,800/mo), claiming roughly 50% savings versus assembling the stack yourself.

Only the entry Solo plan is month-to-month; both Explore and Scale require a quarterly commitment, which AiSDR justifies by the ~30-day mailbox warm-up window.

Every paid tier includes unlimited users — AiSDR does not charge per seat, an unusual choice for a sales tool where seats are the default meter.

Aleph Alpha's CEO Jonas Andrulis summed up the 2024 pivot bluntly: 'Just having a European LLM is not sufficient as a business model. It doesn't justify the investment' — so the company stopped racing on frontier models and started selling a sovereign-AI platform plus services instead.

The legacy Luminous Supreme API was priced at roughly $175 per 1M input tokens and $192.50 per 1M output tokens — orders of magnitude above commodity foundation models, a premium-specialization rather than price-competition posture, and billed against prepaid EUR credits.

After raising about €500M in November 2023, Aleph Alpha settled at around €20M ARR with ~200 staff post-pivot — and in April 2026 agreed to be acquired by/merge with Cohere in a roughly $20bn combined-valuation sovereign-AI deal backed by Germany's Schwarz Group.

Alguna is a billing and metering platform that does NOT meter its own pricing: it includes unlimited event ingestions and unlimited user seats on every tier, so it sells the modules (CPQ, revrec, ERP) rather than charging per event, per seat, or as a percentage of your billed revenue — the opposite of how Stripe Billing or Metronome price.

Alguna went through Y Combinator's Summer 2023 batch and was founded in London by Aleks Đekić (CEO) and Jamie MacLeod (CTO); it raised a reported $4M seed round in September 2025.

Alguna's own site publishes comparison pages targeting Stripe Billing, Chargebee, Maxio, Zuora, Orb, and Metronome 'alternatives' — positioning a single $699/month tier against incumbents whose billing fees scale as a percentage of the revenue you run through them.

Ambience's public /pricing URL returns a 404 — there is no published price list; everything routes to 'Book a Demo' and a custom enterprise quote.

Ambience raised a $243M Series C in July 2025 (led by Oak HC/FT and a16z) at a $1.25B valuation — joining the small club of AI medical scribes that crossed unicorn status, on ~$345M total raised.

Its earlier $70M Series B (Feb 2024) was co-led by Kleiner Perkins and the OpenAI Startup Fund — an unusually direct OpenAI bet on a vertical clinical-AI company.

Ambience reports $13K of verified incremental revenue per clinician per year at St. Luke's (validated by AAPC/KLAS) — a coding-accuracy ROI story it uses to justify the per-clinician license.

Anthropic introduced the 'Constitutional AI' training method — a technique where a model critiques and revises its own outputs against a set of written principles — and published it openly in December 2022, before Claude was even publicly available.

Claude 3 Opus launched in March 2024 at the same $15/1M input token price as GPT-4 Turbo, but scored higher on key benchmarks — marking the first time a non-OpenAI model had credibly topped the frontier leaderboard on a flagship model launch.

Anthropic's prompt caching feature, launched August 2024, charges $3.75/1M write tokens but only $0.30/1M read tokens — a 12.5× read discount that can reduce effective input costs by 80%+ for applications with large, repeated system prompts.

The extended context window of 200,000 tokens available on all Claude 3+ models was a deliberate product decision — Anthropic was first to productize very long context at scale, enabling use cases like full codebase analysis that competitors could not match at launch.

Amazon has committed $4B to Anthropic and is the primary cloud deployment partner — Claude models are available on Amazon Bedrock and AWS customers can access Anthropic via their existing AWS billing relationship, giving Anthropic enterprise distribution it could not build alone.

Anyscale's ACU (Anyscale Compute Unit) is denominated 1:1 with USD on the published rate card — meaning a $4.9591/hour A100 line item literally bills $4.9591 in cash per hour, with cloud-list compute already included for hosted customers.

Anyscale was founded in 2019 by Robert Nishihara, Philipp Moritz, and Ion Stoica — three of the original UC Berkeley RISELab authors of Ray — making it the rare commercial product where the open-source maintainers, the company founders, and the lead committers are the same people.

Anyscale Endpoints (LLM inference at $1/1M tokens) launched August 2023 to compete with Together AI and Fireworks; the product was sunset on January 14, 2025 as Anyscale pivoted to RayTurbo and the broader enterprise platform — one of the highest-profile product sunsets in inference middleware.

RayTurbo claims 4.5× faster inference, 50% lower training cost, and 90% faster autoscale relative to open-source Ray — and Anyscale's pitch is that the runtime savings exceed the ACU markup, making hosted-Anyscale net cheaper than self-hosting Ray on raw cloud.

Anyscale customer Attentive reports 99% infrastructure cost savings on a specific batch workload after migrating from a hand-tuned in-house orchestrator to Anyscale + RayTurbo — Handshake and Canva report 50% — savings that are now the canonical positioning anchor in Anyscale's enterprise sales motion.

Apify's headline meter is the compute unit (CU) — 1 GB of RAM allocated for 1 hour — so cost scales with memory × runtime, not with pages, rows, or API calls.

The Apify Store runs a two-sided creator economy: Apify says it paid out over $1M to Actor developers in a single month, with many earning more than $3k.

Apify is sunsetting its rental Actor pricing model in 2026 — no new rentals from April 1, full retirement October 1, with remaining rental Actors migrated to pay-per-usage.

Apify cut its Scale plan from $499 to $199/month between mid-2024 and January 2025, then cut compute-unit rates roughly 20–25% across all tiers in September 2025 — a rare case of a usage meter getting cheaper over time.

Pay-per-event Actor authors keep 80% of the per-result revenue net of platform costs, and buyers can cap a run with ACTOR_MAX_TOTAL_CHARGE_USD so the Actor terminates before exceeding the limit.

Apollo cut its included credit allotments by roughly half in mid-2025 — Basic dropped from 60,000 to 30,000 credits/user/year and Professional from 120,000 to 48,000 — while leaving the dollar price ($49 / $79 annual) untouched: a stealth price hike delivered entirely through the credit meter.

Apollo's live pricing page renders its plan-comparison grid from a runtime API that returns 'Failed to load plan comparison' to non-interactive browsers and crawlers — the per-seat prices are only legible in archived Wayback snapshots where the JS bundle executed.

Apollo never charges more than 1 credit to reveal a contact's email — personal, business, or both come for the same single credit.

Apollo's 'Unlimited' plans are capped by a Fair Use Policy: 10,000 credits/month for non-paying accounts, or the lesser of (annual spend / $0.025) or 1 million credits per account per year for paying accounts.

Apollo's Organization tier is sold 'Annual Only' on monthly billing — the $149/user/mo monthly card exists but cannot actually be bought monthly, nudging larger buyers onto the cheaper $119 annual commit.

Apptronik publishes no price for Apollo despite raising roughly $935M in a single Series A (by Feb 2026) at a reported ~$5B valuation — apptronik.com/pricing is a literal 404 and the only commercial button is 'Get Started'.

Apollo's AI brain runs on Google DeepMind's Gemini Robotics models, the result of a December 2024 partnership — so a Google-backed humanoid is steered by Google's own robotics foundation models.

CEO Jeff Cardenas has publicly named a target unit price of 'under $50,000' at scale — but stresses the company is 'not there yet,' which is why no number appears on the site.

Mercedes-Benz and GXO Logistics are both Apollo pilot customers AND investors in Apptronik — the buyers are also on the cap table, a pattern that lets early 'pricing' double as strategic alignment.

Apptronik was founded in 2016 out of the Human Centered Robotics Lab at the University of Texas at Austin, well before the 2024-2025 humanoid funding frenzy it now rides.

Arcads is built by FRESHR SAS, a French company — making it one of the few performance-creative AI platforms with a European legal entity and GDPR-native design.

The affiliate program pays 25% recurring commission for 12 months, implying Arcads expects strong customer retention and predicts LTV well above the average $200/month plan.

Arcads pricing is entirely gated: users must sign up before seeing any plan options, a pattern common among B2B creative tools that want to qualify leads before disclosing prices.

Arize's AX plans meter two things at once — trace-span count AND raw ingested GB — so the same workload can blow through one ceiling long before the other.

AX Pro charges $0 per seat: at $50/month you can add your whole team, which is rare in a category where most rivals bill per user.

Phoenix calls itself open source, but it ships under the Elastic License 2.0 — source-available, not OSI open source — so you can self-host freely but can't resell it as a managed service.

Arize's $70M Series C (Feb 2025) was, at the time, the largest single funding round ever raised by an AI-observability company; backers included Datadog and PagerDuty alongside lead Adams Street Partners.

Artisan has pulled public pricing off its site twice: it launched in 2024 with public tiers, hid everything behind 'Request Pricing' by August 2024, briefly re-published a public credit-pool rate card in early 2026, then reverted again by mid-2026 to fully sales-gated Team / Scale / Enterprise plans.

As of mid-2026 Artisan's plans are sized by leads contacted per month — ~2,500/mo for Team and ~6,000/mo for Scale — with no published price on any tier; every card reads 'Pricing scoped on your plan · Talk to sales'.

Its October 2024 'Stop Hiring Humans' billboard campaign in San Francisco drew death threats and national press; the CEO later called it deliberate ragebait, and the company says it took SF brand recognition from 5% to 70%.

Every current plan bundles a white-glove rollout — CSM support from day one — and Enterprise adds a 'forward-deployed strategist' Artisan describes as an ex-McKinsey operator who builds and launches the outbound motion for you.

The 2026 credit-pool relaunch briefly named tiers after seniority levels — Intern ($250/mo) and Employee ($600/mo) — to frame the AI BDR as a hire; by mid-2026 those named tiers and their public prices were gone, replaced by lead-volume Team / Scale / Enterprise tiers.

AssemblyAI bills transcription by the hour of audio processed — Universal-2 at $0.15/hr and the more accurate Universal-3.5 Pro at $0.21/hr — with no minimum commitment, upfront fee, or contract on the pay-as-you-go plan.

AssemblyAI's LLM Gateway lets developers call frontier models (OpenAI, Anthropic, Google) directly against a transcript, billed per million input and output tokens — the evolution of what AssemblyAI first shipped as LeMUR, its 'LLM-over-audio' layer.

AssemblyAI raised $50M in its Series C in January 2024, bringing total funding to approximately $143M. The round was led by Accel, with participation from Insight Partners, and came just two months after Universal-1 launched as the company's flagship accuracy benchmark.

The AssemblyAI Playground — available free in the dashboard — lets anyone test every Speech AI model and LeMUR without entering payment details, making it one of the most frictionless try-before-you-pay developer experiences in the API category.

AssemblyAI's Universal-2 model achieves the lowest word error rate of any general-purpose STT model on English audio benchmarks, outperforming Whisper large-v3, Google STT v2, and Deepgram Nova-2 on standard test sets.

Athina once published a self-serve paid tier: Wayback snapshots show a $99/mo Starter in June 2024 that rose to $199/mo by August 2024, then vanished by September 2024 — today the only public number is $0.

Athina meters paid usage in execution credits where 1 execution = 1 credit regardless of token count — running a dynamic column over a 50-row dataset burns 50 credits.

Logs, online evals and annotations explicitly do NOT consume execution credits — only prompt runs, flow steps, offline evals and Datasets dynamic-column/experiment cells do.

Every new Athina account starts with 500 free execution credits, separate from the free plan's 10,000-logs-per-month allowance.

Athina (YC W23) raised a $3M seed in November 2024 with angels from Perplexity (CTO Denis Yarats) and Snorkel AI (CEO Alex Ratner); soon after, the homepage shed its hallucination-monitoring framing for the current collaborative-platform pitch.

Augment prices every paid plan as a per-developer seat that bundles a fixed monthly credit allotment — Indie 40,000, Standard 130,000, Max 450,000 — but credits are pooled across the whole team, so heavy users effectively borrow from light users' allotments.

A single medium-complexity task costs 293 credits on Claude Sonnet 4.6 but 488 on Opus 4.7 and only 88 on Haiku 4.5, so the same prompt can be 5.5x more expensive depending on which model you route it to.

Augment runs a routing layer called Prism that picks among a curated model family per request and is designed to cost 20–30% less than frontier-model rates, turning model selection itself into a pricing lever.

Cosmos cloud sandboxes are metered entirely outside the seat allotment at 300 credits per hour, prorated in 5-minute increments.

Augment changed its pricing metric four times in under 18 months — usage credits (2024), 'unlimited' subscriptions (early 2025), user messages (mid-2025), and a pooled credit pool (October 2025).

When Augment dropped 'unlimited,' it disclosed the outlier that broke the model: one user running 335 requests per hour, every hour, for 30 days — approaching $15,000 per month in cost to Augment Code.

Wonder Dynamics was co-founded by actor Tye Sheridan (Ready Player One, X-Men) and technologist Nikola Todorovic — a rare actor-led AI VFX startup.

Autodesk acquired Wonder Dynamics on May 21, 2024 and rebranded its flagship Wonder Studio to Autodesk Flow Studio in March 2025, folding it into the Autodesk Flow media platform.

In August 2025 Autodesk made the once-paid tool partly free: the new free tier gives 300 credits/month (about 30 seconds of AI motion capture) with watermarked output.

The August 2025 repricing cut Lite by 50% (from $19.99 to $10/month) and dropped Pro from $99.99 to $95/month while adding a mid-tier Standard plan at $45/month.

Pro is bundled at no extra cost inside the Autodesk Media & Entertainment Collection, turning a standalone SaaS into a value-add for existing Autodesk M&E subscribers.

Automation Anywhere's free Community Edition caps small businesses at five machines and 100 pages per month of Document Automation — a generous learning tier that still nudges scaling teams toward a paid quote.

Paid Automation 360 cost is driven by attended vs. unattended bots, with unattended bots priced higher because they run without human supervision.

Automation Anywhere publishes no list price for paid editions; third-party aggregators peg the median annual contract value near 41,877 USD.

Baichuan4-Air is priced at ¥0.00098 per 1,000 tokens — about ¥0.98 per million, or roughly $0.14/1M (approximate). It's one of the cheapest hosted frontier-family models anywhere, a direct artifact of China's 2024 token price war.

Founder Wang Xiaochuan (王小川) was CEO of Chinese search engine Sogou before starting Baichuan in March 2023; he publicly downplayed the 2024 price war as cloud vendors 'opening a new battlefield' rather than a race Baichuan needed to win on price alone.

Baichuan launched and abandoned a whole vertical model — Baichuan4-Finance — within about three months (Dec 2024 to the March 2025 healthcare pivot), cutting its financial-sales team to focus on medical AI.

Its open medical model Baichuan-M3 (235B parameters) claims a 65.1 HealthBench score, marketed as global #1, while the smaller M2 (32B) runs on a single RTX 4090 — open weights given away to seed a clinical ecosystem priced separately via API.

The 海纳百川 ('Hundred rivers into the sea') program gives the evidence-anchored Baichuan-M3-Plus medical API away free and permanently to institutions serving healthcare workers — pricing the base at zero to own the distribution layer.

Bardeen's cheapest paid plan round-tripped 13x in nine months: Pro was $60/month under 'Pricing 2.0' (December 2024), the March 2025 GTM pivot made entry $129/month, and by December 2025 the floor reset to $10/month.

Bardeen meters output, not effort: a row created by a scraper costs 1 credit but an enrichment row costs 3 — and importing data, utilities, and CSV exports are explicitly free.

Everyone gets 100 free credits a month — exactly the same credit grant as the paid $10 Basic plan, which effectively sells premium scrapers and team features rather than a bigger credit pool.

Bardeen's own worked example on its pricing page — scrape 10 profiles, extract contacts, verify emails, qualify with AI — burns 64 credits, well over half of Basic's +100 monthly credit grant in a single run.

In 2023, Bardeen priced credits per integration like a menu: one Clearbit enrichment cost 25 credits while 1,000 OpenAI-generated words cost just 2 — a 12.5x spread the company later flattened to '1 action = 1 credit.'

Baseten's $0.10833/minute H100 rate works out to ~$6.50/hour — roughly 1.5–2× AWS on-demand H100 list but Baseten markets the spread as the cost of scale-to-zero plus engineer-free ops.

Truss, Baseten's open-source model-packaging framework, predates the company's Model APIs by three years — Baseten started as a 'bring your weights, we run the serving stack' product before adding hosted multi-tenant model endpoints in 2024.

Baseten's $75M Series C in February 2024 was led by IVP at a $825M post-money valuation; customers cited at the round included Writer, Descript, Patreon, and Robust Intelligence.

Baseten's Model APIs price DeepSeek V3.1 at $0.50 input / $1.50 output per 1M tokens — within 5–10% of DeepSeek's own first-party rates, which is unusual for a hosted-inference middleman because most rebrands carry a 30–50% markup.

Baseten publishes per-minute pricing rather than per-hour, which makes scale-to-zero economics visible: a model that warm-pools for 4 minutes per request burst on a $0.10833/min H100 is billed for exactly those 4 minutes — granularity AWS Bedrock and Vertex AI hide.

Beautiful.ai never adopted the credit-metered model that swept rival AI deck tools (Gamma, Tome) — it bundles unlimited AI content, image, and translation generation inside each per-seat plan, so a Pro user paying $12/mo can generate as many AI decks as they want with no top-ups.

Despite the .ai branding, Beautiful.ai's core IP predates the generative-AI wave: its 'Smart Slides' design engine (300+ auto-formatting layouts) launched in 2018 and the generative-AI features were layered on top of that existing per-seat business rather than being the original product.

There is no permanent free tier — only a 14-day trial that requires a credit card up front and auto-charges if you don't cancel — but students with a .edu email get a full year free, making education the company's real freemium funnel.

BentoML is open-source and free — the company makes money on BentoCloud, the managed serverless layer that deploys and auto-scales the 'Bentos' you package with the framework.

BentoCloud bills compute by the second, not the hour: a T4 GPU is metered at $0.00014198/sec, so you don't pay for a full hour you didn't use.

Deployments scale to zero, meaning an idle Starter project can cost nothing between requests — unusual for dedicated GPU serving.

BentoML was founded in 2019 by two ex-Databricks engineers (Chaoyu Yang and Winston Wenyan Yin) and raised a $9M seed in 2023.

Bito runs two opposite pricing models side by side: AI Code Reviews is transparent per-seat ($12-$20/seat/mo), while AI Architect is fully quote-only usage-based.

AI Code Reviews seats include 5,000 lines of code reviewed per month, then meter $5 per additional 1,000 lines — a rare lines-of-code overage meter.

The per-seat prices aren't on the plan cards at all — they're disclosed only in the pricing-page FAQ, while the cards lead with AI Architect's 'Contact us' tiers.

Bito started in 2023 as a free GPT-powered IDE assistant; its earliest archived plan was a single $15/user/mo '10X Developer' tier metered at $10 per 100 GPT-4 requests, retired entirely once the company pivoted to code review.

Bito's $5.7M June-2025 seed extension (led by Vela Partners) was raised specifically to double down on AI code review — the company's 2023 Forever Free general-assistant tier no longer exists.

Bland AI went from pre-seed to Series B in under ten months — one of the fastest fundraising sequences in the AI voice category. The company raised $65M total: a $16M Series A in August 2024 led by Scale Venture Partners, and a $40M Series B in February 2025 led by Emergence Capital.

In December 2025 Bland rewrote its pricing model from a single flat rate of $0.09/min (regardless of plan) to a tier-linked per-minute rate structure. Free (Start) plan users saw a 55% price increase — from $0.09 to $0.14/min — while higher-tier customers got rate reductions as compensation for their subscription commitment.

Bland claims support for up to 1 million simultaneous calls — a scale claim no other voice AI platform makes publicly. This positions the platform for large enterprise telephony replacement rather than boutique AI tooling.

HIPAA BAA, SOC 2 Type I and II, GDPR, and PCI DSS compliance are all included in Bland's plans at no extra cost — a deliberate contrast to competitors that charge compliance as an enterprise add-on.

Y Combinator (Summer 2023 batch) backed Bland early. Investors include Jeff Lawson (Twilio founder) and Max Levchin (PayPal co-founder) — both with direct telephony and fintech payment experience relevant to Bland's infrastructure bets.

Bolt.new bills on tokens — the AI's usage unit — not lines of code. Free gives 300K tokens/day and 1M/month; Pro starts at 10M tokens/month with no daily cap.

Unused Pro and Teams tokens roll over to the next month, an unusual softener for a token-metered AI tool where most rivals reset the meter monthly.

Bolt.new is built by StackBlitz — the pricing page footer reads © 2026 StackBlitz — making it a product brand rather than a separate corporate entity.

Bolt.new went from $0 to roughly $20M ARR in about two months after its October 2024 launch, and ~$40M ARR with 3M+ users by March 2025 — one of the fastest product ramps on record.

The loudest community complaint is the 'error-loop tax': paying tokens to fix the AI's own mistakes. One Ask HN post (2025-12-19) was titled 'Startup launch destroyed by Bolt.new's AI. 10M tokens gone.'

Braintrust's $36M Series A (Oct 2024, ~$150M valuation) was led by a16z's Martin Casado, with an unusually deep bench of operator-angels: Greg Brockman (OpenAI), Guillermo Rauch (Vercel), Simon Last (Notion), Arthur Mensch (Mistral) and Bryan Helmig (Zapier).

Every Braintrust tier — including the free Starter plan — includes unlimited users, projects and experiments. The company monetizes data and evaluation volume, not seats.

The platform is used inside OpenAI, Notion, Stripe, Vercel, Airtable and Instacart; Braintrust says the average team runs more than 10 evals a day.

Founder/CEO Ankur Goyal previously founded ML-data startup Impira and was an early engineer/VP at database company MemSQL (now SingleStore).

Bright Data prices proxies four different ways at once — per-GB for rotating residential ($8 → $2.50/GB), per-IP for static datacenter ($1.40 → $0.90/IP) and ISP ($1.8 → $1.3/IP) — so the right meter depends entirely on which IP type the use case needs.

Residential and Mobile IP access require passing a KYC (know-your-customer) compliance review — sometimes including an intro video call — before the network can be used, an unusual gate for a self-serve usage-based product.

Datasets are sold like a subscription on a sliding refresh dial: paying for fresher data is cheaper per record, with Monthly refresh discounted 80% versus a One-time pull at $2.50/1k records.

The residential network began as Hola VPN's userbase: a 2015 Hacker News thread (296 points, 133 comments) exposed that Hola's 'free VPN' resold idle user bandwidth as exit nodes via a sister company called Luminati — the company Bright Data was renamed from in 2021.

Bright Data's dataset base rate has gone the opposite direction of most software prices: a 2023 Wayback snapshot shows datasets 'starting from $0.001/record' ($1/1k); the 2026 base is $2.50/1k — a 2.5x rise as the buyer mix shifted from scrapers to AI labs.

Two of the largest platforms sued Bright Data for scraping and both lost: Meta's contract claims were rejected at summary judgment (Jan 2024, Judge Chen) and X Corp's were dismissed as copyright-preempted (May 2024, Judge Alsup) — court losses that effectively legitimized the business model Bright Data sells.

One credit extracts 10 rows of data or captures one screenshot — so a 50-product page costs 5 credits, and monitoring those 50 product detail pages every 3 days runs ~500 credits/month.

Annual prepay does more than discount 20%: it drops the headline plan price (Personal $48/mo → $19/mo, Professional $87/mo → $69/mo) AND delivers all credits upfront instead of metering them monthly.

Premium-proxy sites (residential proxies + CAPTCHA solving) carry a minimum credit cost of 2 to 10 per run, so the same task can cost 5x more depending on whether the target site fights bots.

Browse AI runs two go-to-market motions off one engine: a self-serve credit product from $0, and a sales-led managed-scraping service starting at $500/mo with setup engagements from $250.

Browserbase bills the actual compute time agents spend driving a browser — measured in 'browser hours' — not per session, so a 90-second scrape costs a tiny fraction of an hour.

Every paid plan's API key doubles as a model gateway: agents reach major LLMs through Stagehand at market token price with unified billing, folding model spend into the same invoice as infrastructure.

The free plan ships with $5 of model tokens included, letting developers prototype an agent end-to-end — browser, search, fetch, and model calls — without a second vendor.

Browserbase advertises 2,000+ concurrent browsers per instance and 35M+ monthly sessions, positioning the Scale plan around raw concurrency and burst rate rather than seats.

Solo founder Paul Klein IV raised $67.5M in 15 months — a $6.5M seed, a $21M Series A (Oct 2024), and a $40M Series B at a $300M valuation (June 2025) — backed by Kleiner Perkins, CRV, and angels including Patrick Collison and Guillermo Rauch.

The open-source Stagehand SDK that drives Browserbase's billed browsers launched on Hacker News to a 326-point, 86-comment reception (2025-01-08), seeding the developer base the paid platform monetizes.

Byword was bootstrapped by Mack Grenfell (Oxford physics/philosophy, ex-Goldman Sachs, ex-CERN intern), founded around 2021-2022 and reportedly past $1M ARR with 50,000+ users by late 2024 — no VC funding.

The bring-your-own-API idea is not new: a December 2023 archive of Byword's pricing already offered an Unlimited plan where you 'work off your own API keys' — back then it cost $2,499/mo and ran on GPT-4.

Byword's Unlimited tier got cheaper over time — $2,499/mo in 2023, $1,999/mo by 2024 — while the BYO model stack quietly migrated from OpenAI's GPT-4 to Anthropic Claude + Google Gemini by 2026.

Byword once sold a $9,999/mo fully-managed 'Unlimited Plus' tier (Dec 2023); by Dec 2024 it had been replaced by a 'Managed' service from $3,999/mo plus a $999 onboarding fee.

Byword's $1,999/mo Unlimited plan is bring-your-own-API: you plug in your own Anthropic Claude and Google Gemini keys and pay the model providers directly at roughly $0.10/article with zero Byword markup.

Canva spent roughly nine years keeping Pro pricing nearly flat — from US$12.99/month in 2018 to US$15/month in 2025 — then a single September 2024 Teams repricing (a ~317% jump for some legacy plans) triggered one of the loudest SaaS pricing backlashes of the year.

The 2024 change converted Canva for Teams from a flat 'US$300/year for the first 5 people' bundle into per-seat billing at ~US$100/user/year with a 3-seat minimum — quietly tripling the bill for small teams that only had two or three users.

Canva bought design-suite rival Affinity (March 2024) and image-model lab Leonardo.ai (July 2024), then bundled both into paid tiers — turning two acquisitions into plan-differentiation features rather than standalone SKUs.

Canva's AI allowances are denominated in tiered 'AI uses' (Standard / Premium / Ultra), not a single credit pool — and the AI Pass add-on sells up to 40× Canva Pro's allowance for an extra US$100/user/month.

Despite ~$26B+ private valuation and 6M+ paying teams, Canva publishes every individual and team price openly and reserves 'Contact Sales' only for Enterprise — rare transparency at that scale.

Captions splits its Scale plan into three usage tiers (1x at $69.99, 2x at $139.99, 4x at $279.99) — a rare pricing mechanic that lets high-volume creators scale usage without switching to an Enterprise plan.

The company operates as NOCAP, Inc. — a name that signals its creator-economy roots, though the product has significantly expanded to business and enterprise use cases.

Captions pricing page carries a small but notable disclaimer: 'Features and prices reflect iOS plans only' — implying Android and web pricing may differ, or those platforms have different feature availability.

Cartesia was founded in 2024 by Karan Goel and Albert Gu — the same Albert Gu who co-authored the Mamba state-space model paper at CMU. Cartesia's Sonic model is a direct commercial application of state-space architecture, betting that SSMs beat transformers for real-time streaming audio.

Sonic was the first commercial TTS model to advertise sub-90ms model latency — roughly 3-5× faster than ElevenLabs Turbo at launch. That latency number is itself a marketing artifact: it measures only the model, not the network round-trip a developer actually pays for.

Cartesia raised a $27M seed in March 2024 led by Index Ventures, then a $64M Series A in March 2025 also led by Index — an unusually fast follow-on that locked in pricing power before competitors could undercut. Lightspeed, Conviction, and a roster of AI researchers participated.

The Cartesia free tier (20,000 monthly credits, no credit card required) is one of the most generous in voice AI — roughly equivalent to 25-30 minutes of synthesized audio. Compare to ElevenLabs' 10,000-character free tier or PlayHT's 12,500 characters.

Cartesia's 'credit' billing unit hides the underlying cost dimensions: seconds of audio, model tier, and feature (the voice changer alone runs 15 credits per second of audio) all affect credit consumption. This is the same opacity tactic Anthropic and OpenAI avoid by publishing per-token rates directly.

Cerebras's Wafer Scale Engine 3 (WSE-3) contains 4 trillion transistors on a single silicon wafer — roughly 57× more transistors than Nvidia's H100 GPU — making it the largest chip ever manufactured as of 2024.

Cerebras filed for an IPO in August 2024 valuing the company at approximately $8 billion, but the IPO was blocked in November 2024 when the Committee on Foreign Investment in the United States (CFIUS) opened a national-security review related to the company's largest customer, G42 of the UAE, which had previously had ties to Huawei.

At launch in August 2024, Cerebras Inference ran Llama 3.1 70B at 2,100 tokens per second — more than 20× faster than GPU-based competitors like Together AI or Fireworks AI at the time, a speed record that attracted significant developer attention.

Cerebras's inference cloud is powered entirely by its own WSE hardware, not Nvidia GPUs — the first major LLM inference API to achieve competitive scale without a single Nvidia chip.

The GPT-OSS-120B model on Cerebras (released May 2025) is an open-source version of OpenAI's reasoning model architecture, distributed under the Apache 2.0 license, and Cerebras claimed it ran faster on their hardware than any other provider.

Character.ai earns 100% of its revenue from a single $9.99/month consumer subscription — no enterprise tier, no API, no B2B seat pricing. It is one of the few AI companies at $30M+ ARR built entirely on direct-to-consumer freemium, making it a rare pure-B2C case study in the otherwise B2B-dominated AI pricing landscape.

The Google reverse acqui-hire of August 2024 ($2.7 billion reported) effectively means Google paid more to license Character.ai's technology and reclaim its two founders than many AI startups raise in their entire existence — yet Character.ai remained independent with ~140 employees and a single-tier subscription.

Monthly active users peaked at ~28 million in mid-2024 but fell to ~20 million by early 2025 — an 8-million user loss in under a year — driven primarily by mid-chat ads, charm limits, and model-quality concerns, making Character.ai a cautionary tale about how aggressively restricting a free tier can damage top-of-funnel retention even when the paid product improves.

Chargebee's defining meter is a 0.75% fee on the revenue it bills on your behalf above each tier's threshold — so as your subscription revenue grows, Chargebee's take grows with it, a percentage-of-billings model layered on top of a flat subscription.

The free Starter threshold is $250,000 in CUMULATIVE (lifetime) billing, not a monthly or annual reset — once your business has billed a quarter-million dollars through Chargebee, you can never return to free, an unusually one-way freemium gate.

Chargebee is really four products in one bill: Billing, Revenue Recognition (ASC 606 / IFRS 15), Retention (cancellation deflection) and Receivables — each separately quoted, so the sticker price for 'Chargebee' rarely reflects what a finance team actually pays.

Chroma Cloud charges a $0 base with no minimum spend — its key pitch against Pinecone, which imposed a flat fifty-dollar monthly minimum on all users in September 2025.

The managed service runs on 'Chroma Distributed', a Rust engine that keeps data on S3 object storage and separates storage from compute, enabling true scale-to-zero for idle databases.

Chroma is among the most-starred open-source vector databases on GitHub (~27k stars), and the cloud is billed purely on usage rather than gating features behind the paid tier.

Co-founder Jeff Huber framed the billing as 'fair, understandable, and predictable' at the August 2025 Show HN launch — the pricing page ships with an interactive calculator instead of opaque quotes.

Founded by Anton Troynikov and Jeff Huber; raised an $18M seed in April 2023 (~$75M valuation) led by Quiet Capital while keeping the core engine Apache-2.0.

Clari's pricing pitch leads with 'no extra platform fees for integrations or continuous support' — a direct jab at the seat-plus-platform-fee model used by revenue-intelligence rivals.

Clari packages RevAI (deal scoring, forecasting), RevDB (capture + integrations), and Expert Support into one quoted platform rather than priced add-ons.

Clari completed a merger with Salesloft and earlier folded in Groove (engagement) and Wingman (conversation intelligence) to become a single 'Predictive Revenue System.'

Claude Code has two completely separate price meters: a capped subscription (seats + usage limits) and uncapped pay-as-you-go API tokens — most teams pick one and stick with it.

Anthropic's own usage data puts the average Claude Code developer at about $6/day on API billing, with 90% of users staying under $12/day.

Max 20x costs $200/mo flat, but an Opus-heavy full-time developer's equivalent API spend has been reported at $300–$500/mo before caching — so the cap is a genuine discount for power users.

Opus 4.7 and later switched to a new tokenizer that can use up to 35% more tokens for the same text — a quiet effective price change that doesn't show up on the rate card.

Prompt caching makes repeated context nearly free: a cache read costs just 0.1x the normal input price, so re-sending a large codebase context pays for itself after a single hit.

Clay splits usage into two meters most platforms collapse into one: Actions (platform orchestration capacity, always 1 per enrichment) and Data Credits (the marketplace cost of the data itself, 0.5–10+ credits per record).

Each paid plan's headline price is really two stacked fees — a fixed Actions tier plus a selectable Data Credits volume — so a single plan name like 'Launch' spans $185/mo to $2,125+/mo depending on the credit slider.

Clay charges 0% markup on variable AI pricing for frontier models like GPT-5.1 and Claude 4.6 Opus, withholding an estimate at the 75th percentile of past runs and refunding the unused credits after each run completes.

The NY Times reported Clay let employees sell shares at a $5B valuation, and the company publicly crossed $100M ARR — unusually large scale for a data-enrichment tool.

In its 2026 restructure — the biggest since 2022 — Clay cut Data Credits 50-90% and called the change deliberately 'revenue- and profit-negative,' a rare public price cut from a company that had just raised at a $3.1B valuation.

Clay's pricing has had three eras: flat subscriptions (Basic $199/Explorer $349 in 2022), a single credit meter that topped out at a $800/mo Pro plan (2023-2025), and today's two-meter Actions + Data Credits model.

Clipdrop began as a viral GitHub demo: Cyril Diagne's May 2020 'AR Cut Paste' prototype let you point a phone at a real-world object and paste it into Photoshop. The Hacker News thread for it drew 64 points.

Clipdrop has changed corporate owners twice in under a year of headlines: Stability AI acquired maker Init ML in February 2023, then sold Clipdrop to marketing-AI company Jasper in February 2024.

Clipdrop was Stability AI's flagship consumer surface for Stable Diffusion XL — the SDXL beta launched free on Clipdrop in April 2023 before the model's public weights release.

The Clipdrop API per-image price collapsed ~7x between 2022 and 2023: the cheapest pay-as-you-go rate fell from $0.15/image (1,000-credit pack, 2022) to $0.020/image (50,000-credit pack, 2023).

Since the Jasper acquisition, the self-serve Clipdrop API pricing page has been de-listed — the old credit-pack rate card was replaced by a 'request additional credits or switch to Jasper's API' contact form.

Clockwise's headline Pro/Teams seat got cheaper over its life, not more expensive: the paid tier fell from $12/user/mo in early 2021 to $6.75/user/mo (billed annually) by mid-2022 — and stayed there until shutdown.

Prism, the natural-language AI scheduling assistant Clockwise launched in August 2024, was given away free to all customers — the AI layer that defined its final pitch was never a paid SKU.

Salesforce did not buy Clockwise: it explicitly stated 'This was not an acquisition' and only hired the team into Agentforce, leaving the product to be switched off and all customer data deleted on 2026-03-27.

Clockwise raised $76M total (Series C: $45M led by Coatue, Jan 2022; backers included Accel, Greylock, Bain Capital Ventures, Atlassian Ventures) yet never monetized beyond a flat per-seat subscription.

On the way out, Clockwise endorsed a direct competitor — Reclaim.ai — which offered migrating customers a 100% price-match guarantee, a rare vendor-blessed off-ramp.

Close bundles its AI sales agent Chloe into every plan for free — you pay only for the AI credits she consumes, so the AI is monetized as metered usage on top of the seat, not as a premium tier.

Every Close plan includes a monthly base of AI credits per user (500 on Solo up to 2,000 on Scale) that refresh monthly and do NOT roll over, and higher tiers share those credits in a capped team pool (e.g. Scale pools 2,000/user up to 20,000/month).

Annual billing on Close is aggressively discounted — the headline 'SAVE UP TO 50%' is real on the entry tier, where Solo drops from $19 to $9 per user/month.

Close is a bootstrapped CRM: it raised one small seed round in 2013 and took no outside capital since, reaching a reported ~$40M ARR with roughly 110 fully-remote employees — so its metered-AI experiment plays out under real gross-margin discipline rather than growth-at-all-costs subsidy.

Chloe's telephony isn't marked up as an AI premium — Close passes calling and SMS through at roughly $0.02/minute, so the AI agent's variable cost surfaces to the buyer as raw usage while the seat price stays flat.

Close's current four tiers (Solo, Essentials, Growth, Scale) are a rename of its earlier Base/Startup/Professional/Enterprise plans that kept the same annual price rungs ($19→$9, $49→$35, $99, $139) — the AI-credit meter, not a price hike, is what actually changed.

Codeium originally pivoted to AI coding from a GPU virtualization startup called Exafunction, founded in 2021 — making it one of the clearest pivot stories in the AI tooling category.

OpenAI agreed to acquire Windsurf for approximately $3 billion in May 2025 — the second-largest acquisition in OpenAI's history and a direct counter-move to Microsoft's investment in GitHub Copilot.

Windsurf introduced 'Flows' as the central AI agentic interaction unit — a proprietary abstraction that bundles multi-step AI reasoning, file edits, terminal commands, and web search into a single billable credit event, distinct from Cursor's per-token pool model.

Codeium's free individual extension supports 70+ programming languages and 40+ editors, making it the widest free-tier IDE coverage of any AI coding assistant as of launch.

Windsurf's Cascade agent (the multi-step reasoning engine behind Flows) was demoed in November 2024 completing a 10-file refactor with terminal and browser feedback loops — a live demo that went viral and drove 100,000 sign-ups in 72 hours.

Devin prices work in ACUs (Agent Compute Units) — roughly 15 minutes of active agent effort per unit — so you're effectively buying agent time, not seats.

Even after moving to subscription tiers, Cognition told users 'on-demand credits are the same dollar value as the ACUs you're used to' — the ACU meter never really left, it just moved under the hood.

Cognition bought Windsurf in July 2025 — an AI IDE doing $82M ARR with 350+ enterprise customers — stitching the autonomous agent (Devin) to a human-in-the-loop editor.

Devin's Max plan at $200/month is 10x the Pro plan, a tier explicitly aimed at developers who want Devin running heavy, near-continuous workloads.

Cognosys metered on messages-per-month and workflow executions, not seats — the Free tier capped you at exactly 100 messages and 20 workflow executions before you hit a wall.

It was a who's-who angel round: the ~$2M seed (led by GV) included Replit's Amjad Masad, Vercel's Guillermo Rauch, and both Cohere co-founders — one of whom later bought the company.

The product changed identity twice in under two years: Cognosys (2023) → Ottogrid 'smart table' (Oct 2024) → absorbed into Cohere's North (May 2025), with the original cognosys.ai domain now just a paused-deployment page.

Cohere was co-founded by Aidan Gomez, who was a co-author of the seminal 'Attention Is All You Need' paper that introduced the transformer architecture — the technology underpinning virtually every major LLM today.

Cohere's North Star is private deployment: unlike OpenAI and Anthropic, Cohere actively champions running models on-premises or in a customer's own VPC, making it the only major frontier AI company to treat cloud-API access as secondary to enterprise ownership.

Command R7B (December 2024) is the lowest-cost model in the Command family at $0.0375/1M input and $0.15/1M output — under four cents per million input tokens, making it one of the cheapest production LLM APIs available anywhere.

Cohere raised $500M in a July 2024 Series D at a $5B valuation, with investors including Nvidia, Salesforce, Oracle, and Fujitsu — all cloud and enterprise compute partners, not just financial investors.

The Rerank API bills by the query ($2 per 1,000 queries), not by token, making it one of the few AI APIs with a unit of billing that maps directly to an application event rather than raw compute consumption.

Comet's two products price on completely different value metrics: Opik meters spans (LLM/agent trace units), while Comet MLOps meters training hours and data storage.

Opik's Pro Cloud is $19 flat per month for the whole account (up to 50 team members), whereas Comet MLOps Pro is $19 per user per month — the same headline number, two different denominators.

Every Comet plan — including both free tiers — includes access to the free version of the other product family, since Opik and MLOps run on the same underlying platform.

Composio's paid tiers carry unusually candid marketing names on the live pricing page: 'Ridiculously Cheap' ($29) and 'Serious Business' ($229).

Its pricing meter changed identity three times in roughly twelve months: 'executions' (2024) → 'API calls' plus authenticated user accounts (January 2025) → 'tool calls' (July 2025).

The entry paid plan whipsawed from $39 to $199 to $29 between July 2024 and February 2025 — an 85% cut within weeks of the $199 peak.

Premium tools (search APIs, E2B sandboxes, ML inference) bill at exactly 3x the standard rate: $0.897 vs $0.299 per 1K overage calls on the $29 plan.

The tool-call relaunch shipped within days of Composio's $25M Lightspeed-led Series A in July 2025 — new meter, new plan names, and 10x bigger allowances arrived together.

Continue's core IDE extension (VS Code and JetBrains) is free and Apache-2.0 open-source — the company monetizes a hosted layer of model credits and agent management called Continue Hub, not the editor itself.

The Starter plan has no monthly subscription floor: developers pay only for frontier-model tokens at $3 per million (input and output combined), pay-as-you-go.

Each Team seat ($20/month) ships with $10 in model credits, so the bill blends a fixed seat fee with metered model usage — meaning roughly half of a seat's fee is a usage credit, not a license.

Continue's first paid pricing page only appeared in January 2026; a Wayback capture from late December 2025 returns a 404 for continue.dev/pricing. The original 2023 launch had no paid plan at all.

The individual 'Solo' plan was free as recently as January 2026, then was renamed 'Starter' and switched to metered $3-per-million-token billing by March 2026 — a quiet removal of the free hosted tier.

Copper publishes all three seat prices openly and shows the monthly rate struck through next to the annual rate on the same card — the annual commitment is presented as the default, not the upsell.

Contacts, not seats, are the real tier lever: Basic caps the database at 2,500 contacts, Professional at 15,000, and only Business lifts it to unlimited — so companies outgrow a plan on stored relationships before they outgrow it on users.

Copper was founded in 2012 as ProsperWorks and rebuilt itself around a single wedge — being the CRM that lives inside Gmail, Calendar, and Drive — rather than competing with Salesforce on breadth.

Copper rebranded from ProsperWorks on 23 July 2018 — by which point it had raised $87 million (GV, Norwest, True Ventures) and served over 12,000 paid businesses in 100+ countries — yet kept the same Basic/Professional/Business tier names it used as ProsperWorks.

Copper bundles its AI email tools into the seat price rather than charging a per-message AI meter — but it still captures usage-based upside by capping the contact database, the mirror image of Salesforce Agentforce, which meters AI per conversation instead.

Copy.ai grew to 17 million+ users as a self-serve AI copywriting tool, then pivoted to enterprise GTM AI — keeping the brand but rebuilding the product and the price tags.

The GTM bet worked on the top line: revenue grew 480% in 2024 to $23.7M ARR, up from ~$12M in 2023, on just ~$13.9M total raised.

Copy.ai's gross margin was structurally capped in its copywriting era because it paid OpenAI per word generated — a direct COGS-on-every-output problem the credit model now passes through.

The biggest self-serve jump is 35x: from the $29/mo Chat plan straight to $1,000/mo Growth — there's no small-team workflow tier, a deliberate nudge toward sales.

CoreWeave started in 2017 as Atlantic Crypto, an Ethereum-mining operation founded by three former commodities traders; it bought GPUs from distressed miners after the 2018 crypto crash and rebranded to CoreWeave in 2019.

Microsoft accounted for roughly 67% of CoreWeave's 2025 revenue, and OpenAI contracted up to about $22.4B in total commitments — its economics ride on a handful of mega-contracts, not self-serve volume.

Nvidia, CoreWeave's main GPU supplier, disclosed a roughly 7% stake in the company in May 2025 — supplier and shareholder in one.

CoreWeave charges zero ingress, egress, and data-transfer fees, and its Kubernetes control plane is free — the meter is almost entirely on the GPU/CPU instance-hour.

Covariant's three founders — Pieter Abbeel, Peter Chen and Rocky Duan — are all ex-OpenAI; Abbeel is a renowned UC Berkeley robotics-learning professor. In August 2024 all three were hired by Amazon in a 'reverse acqui-hire' that also took about a quarter of Covariant's staff.

Amazon did not buy Covariant outright — it took a NON-exclusive license to the robotic foundation models, meaning Covariant kept the right to keep deploying the same technology even as its founders and core team moved to Amazon.

RFM-1, Covariant's robotics foundation model, is an 8-billion-parameter multimodal model trained on text, images, video, robot actions and physical measurements — reportedly running on 100+ warehouse arms and learning from tens of millions of real pick trajectories.

Despite raising roughly $222M and shipping a production robotics foundation model, Covariant never published a price for any of it — covariant.ai/pricing is a 404, and the Covariant Brain was always sold through enterprise and integrator deals (e.g. KNAPP's Pick-it-Easy Robot).

Creatify's Pro seat headline round-tripped: a $135/mo Business tier in the 2024 beta, repackaged down to $49/mo Pro through early 2026, then more than doubled back to $99/mo in mid-2026.

Every modality — video, avatar, voice, image and text — bills from one credit currency, and the same per-action credit table governs both the self-serve Platform and the developer API.

Creatify reported crossing $9M ARR in roughly 18 months and raised a $15.5M Series A in May 2025 (co-led by WndrCo and Kindred Ventures, with Nat Friedman angel-investing) to launch AdMax, its end-to-end AI ad agent.

The Starter plan whipsawed on price: $33/mo in late 2024, cut to $19/mo through mid-2025, back to $33/mo in early 2026, then raised to $39/mo in the June 2026 hike.

Cresta was co-founded by Sebastian Thrun (of Google X / self-driving-car fame) alongside Zayd Enam and Tim Shi; it is led by CEO Ping Wu.

Unlike the per-resolution upstarts in AI support, Cresta prices the traditional way for its category — per agent seat plus feature tiers — reflecting its agent-assist heritage where humans stay in the loop.

Cresta was named a leader in The Forrester Wave for Conversation Intelligence Solutions for Contact Centers (Q2 2025).

Founder João Moura built crewAI as an open-source side project in 2023 while serving as director of AI engineering at Clearbit; the MIT-licensed framework passed 50,000 GitHub stars by early 2026.

CrewAI's October 2024 $18M round included angels Andrew Ng and HubSpot co-founder Dharmesh Shah; at the time the company said its OSS executed over 10 million agents per month.

The Fortune 500 claim has grown with the company: 'nearly half' at the October 2024 enterprise launch, '60%' in later materials, and '63% of the Fortune 500' on the live pricing page by June 2026.

CrewAI's $25/month Professional tier lived roughly seven months — launched with the AMP rebrand in October 2025 and removed by May 2026, along with the published $0.50-per-execution overage rate a month later.

Crowdin meters two usage levers — 'hosted words' (the volume of source content under management) and 'managers' (admin seats) — while keeping translator seats unlimited on every paid plan, including Free.

The Free plan asks for something back: free-tier users 'donate' their translations to Crowdin's shared translation memory.

Crowdin priced by translation 'strings' from launch through at least August 2019 (Tiny/Small/Medium tiers from $9/mo in 2011); the hosted-words meter that defines pricing today only arrived after the 2020 platform overhaul.

Hosted words are multiplicative: a 500-word file pushed to 10 target languages consumes 5,000 hosted words (500 × 10), so a multilingual project burns the word allowance far faster than the source word count suggests.

Crowdin was founded in 2009 in Ukraine by Sergiy Dmytryshyn and has stayed largely bootstrapped, reaching roughly $13M revenue with ~120 staff by 2025 without disclosed venture funding.

Cursor now shows two separate usage pools for individual plans: Auto + Composer and API, with the API pool tied to the selected model's API price.

Teams plans add a Cursor Token Rate of $0.25 per million tokens on non-Auto agent requests, while Auto stays exempt.

Legacy request-based plans still surface a 20% surcharge on Max Mode, which makes the pricing history unusually legible in the docs.

Daily is the company behind Pipecat, the popular 100% open-source framework for building real-time voice and multimodal AI agents — Pipecat Cloud is the managed, hosted version.

Daily moved off subscription plans entirely in June 2022, betting on pure pay-as-you-go with automatic volume discounts rather than negotiated contracts for most customers.

The free tier is unusually generous for infrastructure: 10,000 participant-minutes every month, refreshed monthly, with no credit card required to start.

Volume discounts are fully published and automatic — the per-minute rate drops about 63% (from $0.004 to $0.0015) once you cross 50M participant-minutes/month.

Mosaic AI is not a standalone company — it is Databricks' GenAI platform, born from the ~$1.3B acquisition of MosaicML (the team behind the MPT open models) completed in July 2023.

Everything in Mosaic AI bills in DBUs (Databricks Units) metered per SECOND — the AI line lists at just $0.07/DBU, the cheapest of Databricks' per-DBU workloads (Data Engineering is $0.15, Interactive $0.40).

The DBU is only the software charge: customers also pay their own cloud provider (AWS/Azure/GCP) for the underlying compute, so the real Mosaic AI bill is always DBUs + cloud infra.

Foundation Model API token prices are quoted in DBUs, not dollars — e.g. Llama 4 Maverick is 7.143 DBU per 1M input tokens, which you multiply by your DBU rate to get the cash cost.

Decagon publishes a glossary entry literally titled 'What is resolution-based pricing?' — making the case that you should pay only when the AI resolves a conversation end to end and nothing if it escalates to a human.

Despite championing outcome alignment, Decagon publishes no rates at all: every pricing CTA on its site is 'Get a demo'.

Decagon's customer roster (Chime, Duolingo, Rippling, Riot Games, Faire) skews to high-volume consumer brands where per-resolution economics scale fast.

Deepgram prices Speech-to-Text and the Voice Agent API per minute of audio, but Text-to-Speech (Aura) per 1,000 characters and Audio Intelligence per 1,000 tokens — three different metering units on one pricing page.

New accounts start with a $200 free credit and no credit card, then drop straight onto pay-as-you-go rates with no minimums or expiration.

As of May 2026 the pricing page advertises 'limited-time promotional rates on streaming,' showing discounted streaming STT prices struck through against the original rates.

The Voice Agent API offers BYO (bring-your-own) LLM and TTS tiers — e.g. Standard - BYO TTS is $0.065/min vs $0.075/min for the fully managed Standard tier.

DeepInfra publishes a per-million-token rate for nearly every open model it hosts — from Llama-3.1-8B at $0.02 in / $0.03 out to flagship DeepSeek-V4-Pro at $1.30 in / $2.60 out — making it one of the most transparent open-model inference price lists in the market, with prompt-cache rates shown inline.

The same DeepInfra account spans four billing primitives at once: per-token LLM and embedding APIs, per-image Flux generation priced by resolution and step count, per-minute Voxtral audio transcription, and per-GPU-hour on-demand B200/H200 containers — a single bill across four metering units.

DeepInfra raised a $107M Series B to scale its inference cloud, and runs a DeepStart program granting qualifying startups 1,000,000,000 free tokens (valued at DeepSeek-V3.1 prices) for companies that have raised $250K–$10M and were founded within the last two years.

DeepInfra's DeepCluster product flips the usual cloud model: instead of renting capacity, the customer OWNS the NVIDIA B300 hardware (on their balance sheet, eligible for depreciation) while DeepInfra procures, deploys, and operates it — all-in from $1.98/GPU-hr on a 5-year term vs a $6.50/GPU-hr public-cloud reference.

DeepInfra launched in 2023 billing purely by inference execution time ($0.0005/second), only adding per-token LLM pricing in late 2023 — and has since cut its custom-LLM GPU-hour rate roughly 2.5× (A100 $2.00/hr in April 2024 to $0.89/hr by August 2025), a price-cut cadence that made it a go-to "cheap inference" reference in cost-sensitive communities.

DeepInfra was built by the team behind the imo messenger app (200M+ users) and, per its 2026 Series B announcement, processes roughly five trillion tokens per week — 25× the token volume it ran at its Series A.

DeepL grew out of Linguee, the bilingual dictionary launched in 2009 — the translator only arrived in 2017, so the company sold context-rich lookups before it sold translation.

The DeepL API and the consumer apps run on the same translation engine but bill in completely different units: per character for developers, per seat for everyone else.

DeepL's API 'Pro' tier carries a small fixed monthly base fee — easy to miss, but at 500,000 characters it can be close to a third of your total bill.

DeepL raised in 2024 at a roughly 2B valuation, making it one of Europe's most valuable AI companies — built on translation, not chatbots.

Business-tier 'unlimited' translation is governed by a Fair Usage Policy that bars automated access exceeding 'usual human behaviour' — so unlimited means unlimited for humans, not scripts.

DeepSeek-R1's January 2025 release caused Nvidia's stock to drop approximately 17% (~$600B in market cap) in a single day — the largest single-day market cap loss attributable to an AI event in history — because R1 demonstrated frontier AI reasoning at roughly 1/30th the inference cost of OpenAI o1.

DeepSeek is funded by High-Flyer Capital Management, a Chinese quantitative hedge fund. DeepSeek reportedly trained V3 on approximately 2,000 Nvidia H800 GPUs at an estimated total cost of $5.5M — a fraction of the 10,000–100,000 GPU clusters used by US frontier labs for comparable models.

DeepSeek-V3 and R1 model weights are open-sourced under the MIT license, allowing any developer or company to self-host the models. This makes DeepSeek the only frontier-class model family that is both commercially cheap via API and fully free for self-hosting.

DeepSeek's cache-hit input pricing is among the most aggressive in the AI API market: V4-Flash cache-hit input is $0.0028/1M — reduced to one-tenth of its launch price in April 2026 — making reused-context input effectively free relative to US frontier models.

DeepSeek-V3 achieved benchmark scores matching or exceeding GPT-4o and Claude 3.5 Sonnet at a training cost orders of magnitude lower, validating the 'mixture-of-experts' architecture as a route to frontier capability at dramatically reduced compute.

Descript was founded in 2017 by Andrew Mason, the former CEO of Groupon, after he spun it out of his audio-tour startup Detour.

OpenAI's Startup Fund led Descript's $50M Series C at a reported ~$550M valuation in November 2022 — making OpenAI both an investor and, via its models, part of Descript's AI stack.

Descript's AI voice-cloning lineage traces to Lyrebird, the synthetic-speech startup it acquired in 2019; the Lyrebird name still appears in Descript's site footer under an ethics statement.

On 23 September 2025 Descript replaced transcription-hour plans with media-minutes plus AI-credit pools — and counts every uploaded file against the media pool, so multitrack uploads burn allowance several times faster than a single mixed file.

Annual billing on Descript buys two things at once: up to 35% off the seat price AND a larger bundled allowance of media hours and AI credits — a packaging lever most seat-priced SaaS tools never pull.

Diffbot's Free plan grants 10,000 credits/month at $0 per credit — no credit card, free forever — enough to extract 10,000 web pages or export 400 Knowledge Graph entity records.

Credit cost differs per activity: extracting a web page is 1 credit, but exporting a single Knowledge Graph entity record costs 25 credits and a summarized facet query costs 100.

The per-credit overage rate falls as you climb tiers — $0.001 on Startup vs $0.0009 on Plus — so higher plans are partly a volume discount on metered usage.

Diffbot offers the entire product suite 100% free to active college/university students aged 16+ via an application-gated academic program.

Diffbot's $299 and $899 anchor prices have not changed since 2016 — through a full migration from per-API-call billing to activity-weighted credits and a Global Index → Knowledge Graph rebrand, the sticker prices held for a decade.

Until 2024 Diffbot's entry plan was a 14-day trial; in April 2024 it became a permanent free-forever plan (10,000 credits/mo, no credit card), flipping the entry tier from trial to true freemium.

Founder/CEO Mike Tung calls Diffbot one of the few bootstrapped, profitable AI companies; it raised a single $10M Series A in 2016 (Tencent + Felicis) and reportedly reached ~$3.1M revenue in 2024 with a ~35-person team.

Dify's Cloud plans meter 'message credits' (Sandbox 200 one-time, Professional 5,000/mo, Team 10,000/mo) rather than raw LLM tokens, so the platform fee is decoupled from the underlying model spend that users pay their own model providers for.

Every paid Cloud tier — even $59 Professional — carries No Dify API rate limit, while the free Sandbox is capped at a 5,000 API-call/month limit, making the API cap one of the clearest free-to-paid upgrade triggers.

Dify is open source under the 'Dify Open Source License' (Apache 2.0 with added conditions); the self-hosted Community Edition is free, and the same product is resold as 'Dify Premium' on the AWS and Azure marketplaces for teams that want custom branding without a Cloud subscription.

Students, teachers and educational staff with a school email can run the Yearly Professional plan for free after annual re-verification — a rare case of a usage-metered AI platform giving its mid-tier away to a whole buyer segment.

Dify (GitHub org langgenius) is one of the most-starred AI repos in the world — roughly 143,000 stars and 22,000+ forks as of mid-2026 — yet its $59 and $159 Cloud headline prices have not moved since the earliest archived pricing page in December 2023.

Digits was founded in 2018 by Jeff Seibert and Wayne Chang, who previously built Crashlytics — acquired by Twitter, then sold to Google and folded into Android/Firebase.

Digits raised roughly $97.5M total, including a $65M Series C in March 2022 led by SoftBank at a $565M valuation, with GV and Benchmark having led earlier rounds.

Digits launched as a free real-time finance dashboard ("Digits for Expenses", unlimited and $0), then repositioned twice — to per-firm accountant tiers, then to AI bookkeeping for businesses and firms with no permanent free tier.

By late 2023 Digits advertised it tracked over $597 billion across 5,000+ businesses; by 2025 its Autonomous General Ledger had powered 2,000+ month-end closes.

In April 2026 Digits introduced outcome-based pricing for its largest firms — billing only when it measurably reduces manual work, after lifting one top-400 firm's automation from ~75% to 98%.

Docket meters on website traffic — monthly visitor volume — not seats or conversations, so the bill is decoupled from both team size and how chatty the AI is.

Every plan is explicitly all-inclusive: unlimited conversations, unlimited data-source integrations (100+ sources), and full CS-team implementation are bundled, with no per-conversation overage charges.

Docket runs an explicit Drift / Qualified migration program, pledging to take over those accounts 'from both a financial and migration standpoint' as those incumbents wind down.

Founded in 2023 in Palo Alto by ex-ZoomInfo executive Arjun Pillai (CEO) and Anoop Thomas Mathew (CTO); a Gartner Cool Vendor 2024.

DocuSign meters agreements as 'envelopes' — one envelope can hold multiple documents and multiple signers, so the unit is the send package, not the page or the signature.

The cheapest Personal plan caps you at just 5 envelopes per month, while paid team plans grant 100 envelopes per user per year — an annual pool, not a monthly one.

DocuSign's newer IAM (Intelligent Agreement Management) plans start at $45/user/month — the same headline price as the top eSignature Business Pro tier — but replace envelope caps with unlimited web-app sends plus AI workflows.

DocuSign didn't just add a product with IAM — at Momentum24 (April 11, 2024) it declared an entirely new software category, 'Intelligent Agreement Management,' and repositioned itself from an e-signature vendor into an IAM company.

IAM's 'unlimited' envelopes are unlimited only through the web app — sends via API or 3rd-party integrations fall under a separate 'Automation Sends' allowance (100/user/year), so the unlimited headline has a metered back door.

Dropzone AI used to publish a list price: Wayback snapshots show a 'Starting list price' of $24,000/year in mid-2024 that rose to $36,000/year by early 2025, before the company removed all public dollar amounts from the page by 2026.

At the former $36,000/year list price for 4,000 investigations, Dropzone AI worked out to roughly $9 per investigation — a figure third-party guides still cite as 'the most accessible enterprise AI SOC entry point.'

Today the pricing page publishes no dollar prices at all — instead it leads with an interactive ROI calculator that estimates 'At Least $186,000' in annual return from automating 4,000 investigations.

The base plan is metered not by seats or tokens but by investigation capacity: up to 4,000 full alert investigations per year per AI analyst, with unlimited human users included.

There is no free or self-serve tier — every customer, from a three-person SOC to a large MSSP, must request a custom quote.

Founders Gabriel Hubert and Stanislas Polu met at Stanford in 2007, co-founded TOTEMS (acquired by Stripe in 2014), spent five years at Stripe, and Polu then joined OpenAI as a research engineer on Greg Brockman's team, co-authoring AI reasoning papers with Ilya Sutskever.

After holding a flat 29€/user/month Pro price from at least May 2024, Dust overhauled pricing in mid-2026 — switching to USD, credit-metered Free/Pro/Max seat types ($0 / $30 / $150 monthly) and introducing its first public free tier.

Dust reported zero churn in 2025 and serves 3,000+ organizations with roughly 41,000 monthly active users and 300,000+ agents deployed (as of the May 2026 Series B announcement).

Canceling Dust is unusually consequential: downgrading removes every user except one admin, deletes all connections, and deletes data sources over 50MB after 7 days.

E2B charges per second of running-sandbox compute, not per sandbox or per API call — the meter only runs while a micro-VM is actually executing, so a paused or stopped sandbox costs nothing in compute.

Upgrading from Hobby to Pro grants zero additional usage credits. The $150/mo Pro fee buys higher limits (longer runtime, more concurrency, bigger machines), not a credit allowance — a deliberate split between the platform-access fee and the metered compute bill.

E2B is operated by FoundryLabs, Inc. and raised a $21M Series A in July 2025 led by Insight Partners (after an $11.5M seed led by Decibel). Its open-source sandbox SDK reports 3M+ monthly downloads and 1B+ started sandboxes, with 94% of Fortune 100 companies cited as users on the enterprise page.

E2B's headline price has not moved across the full Wayback record: $150/mo Pro and the per-second vCPU rates ($0.000014/s at 1 vCPU to $0.000112/s at 8) are identical in the 2024-12 and 2026-05 archived pricing pages — every visible change was packaging, not price.

The default 2-vCPU sandbox bills at $0.000028/second — about $0.10 per hour of running compute before RAM and storage — making short agent runs nearly free while sustained always-on workloads accumulate quickly.

Concurrency is a priced add-on, not just a limit: Pro includes 100 concurrent sandboxes, with Pro+ (600 concurrent) at +$500/mo and Pro++ (1,100 concurrent) at +$1,000/mo stacked on top of the base Pro fee.

Eko Health was founded in 2013 by three UC Berkeley students — Connor Landgraf (CEO), Jason Bellet (COO), and Tyler Crouch (CTO) — to reinvent a tool that had barely changed in 200 years; its first device cleared the FDA in 2015.

Eko's AI is reimbursable: SENSORA's Category III CPT code 0962T (effective July 1, 2025) carries a finalized CMS OPPS payment of about $128.90 per exam — so hospitals can bill insurers each time the algorithm screens a patient.

The flagship CORE 500 ($449) is the only Eko device with a built-in 3-lead ECG, and it is the only one that supports on-device AFib detection through Eko+ — a deliberate hardware gate on a software feature.

ElevenLabs is really three pricing systems in one: a credit ladder, a voice-agent minute meter, and an API meter.

The company renamed Conversational AI to ElevenLabs Agents in 2025, so the billing story is tied to product naming as well as pricing.

Annual billing exists across the subscription tiers, so the monthly pricing page is only the default view, not the whole offer.

Legacy usage-based billing is still documented for older subscriptions, but new subscriptions are pointed to PAYG instead.

ElevenAgents says silence longer than 10 seconds gets a 95% discount, which materially lowers dead-air cost.

Essential AI's two founders, Ashish Vaswani and Niki Parmar, are co-authors of the 2017 'Attention Is All You Need' paper — the eight-author paper that introduced the Transformer architecture underpinning virtually every modern LLM.

Despite raising ~$65M and shipping a 24-trillion-token dataset and an 8B open-weight model, Essential AI publishes no price for any of it: essential.ai/pricing 404s and the site's only commercial button is 'Talk to us'.

Its $56.5M Series A is one of the few rounds backed simultaneously by Google, NVIDIA and AMD — three chip-and-cloud giants that rarely co-invest — alongside lead March Capital and Thrive Capital.

Essential-Web v1.0 hit #1 on Hugging Face, yet it is given away free; the company monetizes the 'Enterprise Brain' workflow products it builds on top, not the open dataset itself.

EvenUp's pricing page literally 404s — there is no public rate card. Every PI firm gets a custom quote after a demo.

In December 2025 EvenUp scrapped feature tiers for 'case-based pricing' — one cost per case — explicitly to kill 'confusing feature tiers or unpredictable add-ons.'

Competitors built entire comparison pages around EvenUp's billing, claiming a ~$300 base per demand 'balloons to $800+ with token math and extras.'

EvenUp doubled its valuation in under a year — $1B+ Series D in 2024 to $2B+ Series E in October 2025 — on the back of a single vertical: personal injury law.

Its proprietary model, Piai, is trained on what EvenUp calls the largest dataset in personal injury; the platform processes ~10,000 cases per week.

Exa prices its API per 1,000 requests rather than per request, so the headline Search $7 actually means about $0.007 per call.

Returning more than 10 results per request triggers a separate per-additional-result charge ($1 per 1k requests on most endpoints), so result count is its own billing dimension.

Exa Agent can bill on auto effort (compute scales to the task) or one of five fixed-effort modes from $0.012 (Minimal) to $1.00 (X-high) per request for predictable pricing.

Exa launched as Metaphor Systems and sold flat $100 and $250 per-month subscription tiers (Wanderer and Wanderer+) in early 2024 before scrapping them within months for pure pay-as-you-go credits.

Exa's base Search rate sat at $5 per 1,000 requests from January 2025 through early 2026 before rising to $7 in the April 2026 endpoint-card redesign.

Exscientia's drug candidate for OCD (DSP-1181, with Sumitomo Dainippon) was widely reported as the first AI-designed molecule to enter human clinical trials, in 2020 — designed in under 12 months versus a typical multi-year cycle.

Exscientia raised about $510.4 million in its October 2021 Nasdaq IPO (ticker EXAI), with concurrent private placements from SoftBank and the Bill & Melinda Gates Foundation — one of the largest biotech IPOs of that year.

Its 2022 Sanofi deal carried up to $5.2 billion in potential milestones — larger than the entire $688 million all-stock value of the company's own 2024 merger into Recursion.

Post-merger Recursion trains its models on more than 50 petabytes of proprietary biological data using BioHive-2, an NVIDIA-built supercomputer it calls one of the most powerful in biopharma.

Factory reversed its own pricing model: through 2025 it metered Factory Standard Tokens with overage, but around its April 2026 Series C it dropped per-token billing entirely for flat rate-limit seat tiers.

For a brief stretch in late 2025, Factory listed an Ultra tier at $2,000/mo bundling 1 billion Standard Tokens (plus 1 billion bonus tokens) — it has since vanished from the pricing page.

Factory's entry price has fallen from $80/user/mo (early 2025) to $20/mo (Pro today), even as it added a Plus tier and richer Droid Computers compute.

Plus ($100/mo) and Max ($200/mo) bundle 'Droid Computers' — Factory-managed cloud machines for running background and remote Droids — rather than charging for that compute by the hour.

Factory's $150M Series C (April 2026, $1.5B valuation) was led by Khosla's Keith Rabois; the company also acquired YC W24 startup Lumetric to shape its desktop app.

fal advertises H100 GPUs 'from as low as $1.89/hr' — a per-second-billed rate ($0.0005/s) that undercuts most on-demand hyperscaler H100 list prices.

fal has no seats, no monthly plans, and no free tier on its public pricing page — every line item is metered per output or per unit of compute time.

fal normalises model-API prices to 'output per $1' on its own pricing page (e.g. 20 seconds of Wan 2.5 video, or 33 Seedream V4 images), turning the price table into a buyer-facing cost comparator.

fal's B200 (184GB) GPU tier is listed as 'contact us' for both per-hour and per-second pricing, gating its newest Blackwell capacity behind sales.

fal says it powers 50% of Poe's image and video generation and low-latency TTS for PlayAI's voice agents — inference volume sold wholesale to other AI products.

fal's pricing page rebuilt itself twice in 18 months: raw per-second unit billing (CPU/GPU/memory) in 2024 became a per-output 'Output per $1' model comparator by mid-2025, tracking its pivot to a generative-media platform.

fal raised four rounds in under three years to a $4.5B valuation (Dec 2025, Sequoia-led) — its $140M Series D roughly tripled the $1.5B mark from its July 2025 Series C just five months earlier.

Fathom's Team plan ($19/user) is priced below its individual Premium plan ($20/user) — the per-user team rate undercuts the solo upgrade once you have 2+ users.

The Free tier is genuinely unlimited: unlimited recordings, transcriptions, and AI call summaries forever, with no meeting or minute cap.

VC- and accelerator-backed startups from 27+ named partners (including Y Combinator and TinySeed) can get up to 2 years of Fathom Team free via the Qualified Portfolio Partner Program.

Figure went from a $2.6B valuation (Feb 2024 Series B) to a $39B post-money valuation (Sept 2025 Series C) in roughly 18 months — about a 15x step-up — yet has never published a price for the humanoid robots that valuation is built on.

Weeks after ending its OpenAI collaboration in early 2025, Figure unveiled Helix, an in-house Vision-Language-Action model — a ~7B comprehension model paired with a ~80M control model — and bet its whole roadmap on running robot AI itself rather than buying it.

Figure's BotQ factory is designed so robots help build robots, with a stated first-generation capacity of up to 12,000 humanoids per year — a manufacturing plan announced before any public unit price for what comes off the line.

Figure's flagship revenue proof point is a milestone-based BMW Manufacturing agreement: its humanoids worked a live line at BMW's Spartanburg, SC plant and contributed to assembling 30,000+ vehicles over an ~11-month deployment — with no deal value disclosed.

A ~$20,000 'consumer price' for Figure 03 circulates widely online, but it traces only to third-party analysts — Figure itself has published no official unit price, subscription, or rate card.

Finout flips the usual FinOps script: a tool that exists to make your variable cloud bill predictable is itself sold as a flat, locked-in annual fee — explicitly 'based on tiers of committed spend' with 'no surprise overage charges,' so the cost-control product practises what it preaches.

The price scales with the size of the bill Finout watches, not with usage — third-party reports put it near ~1% of cloud spend (Business ~$1,000/mo up to ~$500k, Pro ~$2,000/mo up to ~$2M). The pricing page even pre-empts the obvious objection with an FAQ: 'I have very large bills, won't you be too expensive?'

Unit economics is a paid lever, not a free feature: the cost-per-customer capability reportedly adds ~$250 on Business and ~$500 on Pro, and is only bundled free on Enterprise — so the metric most SaaS finance teams actually want (cost per customer) is gated behind the upper tiers.

Firecrawl prices everything in credits but never charges per seat — a 1-developer team and a 50-developer team on the same plan pay the same as long as their page volume matches.

The pricing page geo-detects currency (it rendered in INR with an India flag from some IPs); the USD prices only appear after switching the currency selector.

1 credit = 1 scraped page across Scrape, Crawl, Map, and Monitor — but Search costs 2 credits per 10 results and Interact costs 2 credits per browser minute, so the unit price quietly varies by endpoint.

Credits do not roll over month-to-month except for auto-recharge packs (valid 12 months) and upfront-granted annual Scale/Enterprise credits.

Firecrawl crossed 500K+ signed-up developers and 100K+ GitHub stars before raising much beyond a $16.2M seed/Series A.

Firecrawl's cheapest plan used to be $50/month: the earliest archived pricing page (April 2024, then 'A product by Mendable.ai') had no free tier and sold credit packs at $50, $375, and $1,250 — the entry price only dropped to $0 in the June 2024 rebrand.

Fireflies hit a $1 billion valuation in September 2025 via a tender offer — not a primary raise — on roughly $10.9M ARR and only about 96 employees, having stayed profitable since 2023 without raising new capital since its 2021 Series A.

Total venture funding is just ~$19M (a $5M 2019 seed from Canaan plus a $14M 2021 Series A led by Khosla), making it one of the most capital-efficient AI unicorns.

The Free tier is unusually generous — unlimited transcription and AI summaries — but storage is capped at 400 minutes per TEAM (not per seat), which is the squeeze that pushes teams to upgrade.

Enterprise is the only tier with no monthly option: it is $39/seat annual-only, while every other paid plan offers a pricier month-to-month rate (Pro $18 vs $10, Business $29 vs $19).

Fireworks AI's $7.00/hour H100 (and H200) on-demand price is one of the lowest published rates among managed inference platforms — roughly 30% below Together AI's $5.49–$6.49 H100 dedicated rates only because Together's listed rate excludes Fireworks' full-stack optimization layer.

Fireworks was founded in 2022 by Lin Qiao (ex-Meta), Dmytro Ivchenko, and Pawel Garbacki — Lin Qiao led the PyTorch team at Meta when PyTorch 1.0 shipped, giving Fireworks unusual inference-runtime credibility.

Fireworks' fine-tuning rate card is one of the most granular in the industry: LoRA SFT at $0.50 per 1M training tokens for <16B models, LoRA DPO at $1.00, full-parameter SFT at $1.00, full-parameter DPO at $2.00 — and it scales linearly through the 16B → 300B+ model size tiers.

Cached input tokens get a 50% discount on serverless inference, and batch inference applies the same 50% discount independently — meaning a batched RAG workload with high prefix re-use can land at 25% of the standard input price.

The new $1 trial credit (down from a more generous earlier offer) is one of the smallest in the inference middleware market and suggests Fireworks now relies more on sales-led conversion than self-serve experimentation for revenue growth.

Flexprice is open-core with roughly 99% of its codebase under AGPLv3 — the Go billing engine (94.9% Go) is fully self-hostable for free, so the 'free tier' is literally the whole product if you run your own infrastructure.

Every managed cloud tier caps not just events but cumulative billings — Build will only process up to $250K (or $20K/month) and Scale up to $1.2M (or $100K/month). Flexprice meters how much money you bill through it, then bumps you to the next tier.

Flexprice is a billing tool whose own pricing page is a billing showcase: it runs subscription + usage + hybrid plans, prepaid credits, coupons, tax and PDF invoices on the same engine it sells — eating its own dog food.

FLORA's free tier is metered by dollar value, not credit count: users get up to $2.50 of total usage (roughly 17 Nano Banana 2 images at $0.151 each), making the limit unusually transparent compared to most AI platforms that hide per-generation costs.

FLORA's flagship model 'Nano Banana 2' is their own proprietary image model — the unusual name reflects the startup's playful brand, while the model itself is positioned as the high-value workhorse for professional creative workflows.

FLORA raised 42M USD and counts Pentagram (the world's largest independent design consultancy) and Lionsgate among its users — an early enterprise signal that positions it in the professional creative market rather than consumer AI tools.

Forethought says its pricing is literally 'a blend of platform access fees and an outcome-based pricing cost' — one of the clearest public statements of the platform-fee-plus-resolution model.

Instead of a free trial, Forethought offers a Proof of Value (POV) — a paid/structured pilot to demonstrate ROI before a quoted contract.

Forethought's AI QA agent scores 100% of tickets; tier limits are expressed in QA rubrics (1, 5 or 20) and brand counts (2 or 20) rather than dollar prices.

Forward billed primary care like a gym membership, not insurance: a flat $149/month for unlimited visits with no co-pays. Founder Adrian Aoun's pitch was that flat-rate care could scale like software — it couldn't cover the hardware bill.

The CarePod — a $99/month self-service AI clinic kiosk you stepped into for an automated check-up — became a cautionary tale: automated blood draws routinely failed and patients reportedly got stuck inside the pods. Forward deployed only a handful before shutting down.

Forward burned roughly $400M (some counts ~$657M with debt), reached a $1B valuation in 2021, and raised a $100M Series E in November 2023 — then abruptly shut down barely a year later, in November 2024, with under $100M of lifetime revenue.

Frase has no free tier — entry is a paid Starter plan at $49/mo (every plan offers a 7-day free trial with no credit card instead).

Every Frase plan, including the cheapest Starter, includes full AI Agent access, API & MCP access, and AI-visibility tracking — plans differ only in volume and team features, not capabilities.

Frase meters AI-search visibility itself: plans cap 'visibility prompts/month' (50 / 200 / 500) and which AI engines are tracked — Starter watches ChatGPT + Google AI, Professional adds Perplexity, Scale adds Claude + Gemini, and Enterprise tracks all named engines.

Frase's 2026 'content operating system' packaging meters seven things per plan: articles (10/40/100), audit pages (50/250/1,000), AI generations (25/100/350), AI diagrams (—/20/50), visibility prompts (50/200/500), Content Guard pages watched (3/15/50), and API requests (250/1,000/3,000) — yet every plan still runs the full content loop.

Extra seats are a flat $29/seat add-on on every paid plan above the included headcount (1 / 3 / 5 seats included on Starter / Professional / Scale).

Frase has changed its value metric four times since 2020 — document credits, then articles, then search queries, then SEO documents — before landing on today's articles/audit-pages/visibility-prompts trio.

Frase started as two products in 2020: 'Frase Content' (the SEO optimizer) and an on-site 'Answer Engine' chatbot priced separately at $199.99/mo for 500 answers; the Answer Engine was later dropped from public pricing.

In October 2022, AI-writing company Copysmith acquired both Frase and Rytr and grouped them under a 'Copyrytr' umbrella — yet Frase kept its own brand and continued shipping independent pricing changes.

For a few months in 2025, Frase sold content as pure pay-as-you-go 'Rank-Ready AI Documents' starting at $3.50 each (dropping to $1.67 each at volume) with no subscription required.

Freed's entry Starter plan is the rare consumer-software tier gated by an explicit output cap — 'up to 40 notes per month' — rather than by feature locks alone.

The annual toggle only discounts the top Premier tier ($119/mo monthly drops to $104/mo annually); Starter ($39) and Core ($79) show the same headline price either way, against a struck-through $59 anchor.

Freed sells no free tier — only a 7-day, no-credit-card trial — even though its target buyer is an individual clinician, the most price-sensitive segment in healthcare software.

The Groups plan bundles an organization-wide BAA, SSO, and centralized billing behind 'Talk to sales,' converting a prosumer scribe into a clinic-wide platform sale.

Freed used to charge a single flat $99 per clinician per month; it later unbundled that one plan into the $39 / $79 / $119 ladder, so today's 'unlimited notes' tier (Core, $79) is actually cheaper than the old single price.

Freed scaled to more than 17,000 paying clinicians across 96 specialties and ~$19M ARR before raising a $30M Series A led by Sequoia Capital in March 2025 — growth its investors compared to consumer SaaS like Slack and Zoom.

Freepik bundles ~30+ third-party GenAI models (Google Nano Banana, Sora 2, Kling, Runway, Flux, Seedream, Veo) behind one credit wallet instead of charging per provider.

Annual subscribers get their entire credit allotment upfront and credits stay valid for a full year, while monthly subscribers lose unused credits at each reset.

The Pro tier costs $250/mo but ships 3.6M credits/year — 20% cheaper per credit than lower tiers and includes a 20% extra-credit bonus.

In 2022 Freepik sold a flat stock subscription for ~$8–12/mo with no AI; by 2025 it had rebuilt the page around an AI-credit pool, leaving the $9/$20/$39 core stable into 2026.

Freepik reached roughly $230M ARR (~€196M) with 1M+ paying subscribers and 250+ enterprise clients without ever raising US venture capital, then rebranded the parent to Magnific in April 2026.

Freshsales sells four per-user CRM editions (Free, Growth, Pro, Enterprise) but the Freddy AI Agent — its customer-facing chatbot — is billed SEPARATELY as metered bot-session packs on top of seats, not bundled into the seat price.

The Freddy AI copilot features (Contact Scoring, Sales Emails, Deal Insights, Forecasting Insights) ARE bundled into the Pro and Enterprise seats, so Freshworks splits Freddy into a bundled copilot and a metered agent.

Every paid Freshsales plan includes 500 free Freddy AI Agent bot sessions (once per account) as a trial before the metered add-on kicks in.

A Freshsales 'bot session' is any unique end-user-to-bot interaction within a 24-hour window, and session validity is pegged to the payment cycle — pay quarterly and unused sessions expire quarterly.

Freshsales once used a botanical tier scheme — Sprout (free), Blossom, Garden, Estate, and Forest — before simplifying to today's Free/Growth/Pro/Enterprise ladder after the 2021 IPO.

Freshworks (ex-Freshdesk, founded 2010 in Chennai) became the first Indian SaaS company to list on a US exchange when it IPO'd on NASDAQ on 2021-09-22 at $36/share, ~$10B valuation.

Freshworks sits exactly between the CRM incumbents on AI billing: it bundles the Freddy copilot like Pipedrive and Close, but meters the Freddy AI Agent per session like Salesforce's Agentforce.

Fyxer's annual prices have not moved since at least May 2025: the old Standard plan billed $270/user/yr (= $22.50/mo) and the current Starter still bills $22.50/user/mo annually — the change was packaging, not price.

Fyxer AI Limited was incorporated in October 2023 (UK company number 15189973) and grew ARR from roughly $1M to $17M in under eight months, raising a $30M Series B led by Madrona in September 2025.

Salesforce founder Marc Benioff invested in both Fyxer's $10M Series A (March 2025, led by 20VC) and its $30M Series B (September 2025).

Fyxer charges one seat per user no matter how many inboxes they connect — linking both Gmail and Outlook still counts as a single seat.

Enterprise carries a hard 50-user minimum, so the smallest Enterprise contract is effectively a 50-seat commitment even though the per-seat price is bespoke.

Cisco acquired Galileo: it announced intent on 2026-04-09 and closed the deal on 2026-05-22, after which galileo.ai added a 'now part of CISCO' lockup to its logo.

Galileo had no public mid-tier price until late 2025: through September 2025 the page showed only a free Developer plan (capped at 3 users) and a custom Enterprise plan — the $100/mo Pro tier appeared in the October 2025 redesign.

When Pro launched, Galileo also lifted the free tier's 3-user cap to unlimited users and switched its metered unit framing from 'user-defined metrics' to 'custom evals' plus a 5,000-trace allowance.

Galileo raised a $45M Series B led by Scale Venture Partners on 2024-10-15, bringing total funding to $68M, and cited 834% revenue growth since the start of 2024.

Galileo meters on traces, not seats or tokens: Free includes 5,000 traces/month, Pro 50,000, Enterprise unlimited — both Free and Pro keep users unlimited.

Gamma's 'unlimited AI creations' has an asterisk: everyday generation is unlimited under fair use, but the premium features that actually cost money — Agent, advanced/Ultra models and the API — are the only things that burn credits. The credit meter sits on the expensive surface, not the whole product.

The Free plan's 400 credits are a one-time signup grant, not a monthly refill — paid tiers are the only way to get a recurring monthly credit allowance, and free users cannot buy add-on credits at all without upgrading.

Gamma renders pricing-page currency purely from a client-side geo-IP lookup with no override and no on-page currency selector — even a US-classified capture saw EUR — so the only place its USD Individual prices are guaranteed is behind that geo wall, while Team/Business USD figures live in the (non-localized) help center.

Genspark prices its consumer Plus and Pro plans by credit tier rather than a single dollar figure — Plus starts from 10,000 credits/month and Pro from 125,000 credits/month, and you can switch credit tiers at any time.

Plus and Pro both advertise truly unlimited, zero-credit usage of top-tier chat and image models (the latest SOTA lineup) — but only guaranteed through December 31, 2026.

The Team plan flips the credit-tier model into a flat $30/seat/month with a fixed 12,000 credits per seat; Enterprise doubles per-seat credits to 25,000 but is contract-only at 151+ seats.

Genspark spent its first nine months (from June 2024) as a free AI search engine with no paid plans at all — credits only arrived after it pivoted to the Super Agent on April 2, 2025, which then hit $10M ARR in nine days, faster than Cursor or Lovable.

Genspark quietly removed its consumer one-time credit top-up packs (10,000 credits for $20, 3-month validity) around March 2026 with no announcement; running out of credits now forces a permanent subscription-tier upgrade or a wait for the monthly reset.

GitHub Copilot replaced its premium-request quotas with GitHub AI Credits in June 2026, where 1 AI credit equals exactly $0.01 USD — making the bill a literal dollar-denominated token pass-through.

Code completions and next-edit suggestions are explicitly NOT billed in AI credits and stay unlimited on every paid plan — only chat, agents, code review, CLI, and Spaces draw down credits.

Copilot Business pools its 1,900 AI credits per user at the enterprise level: 100 seats become a shared 190,000-credit pool, so power users borrow from light users automatically.

Annual Pro/Pro+ subscribers who signed up before June 2026 are grandfathered onto the legacy premium-request model (300/1,500 requests, $0.04 overage) instead of the new credit system.

Copilot's individual price sat at exactly $10/month from late 2021 through 2024 — then changed structure four times in twelve months (Free tier, Pro+, premium requests, AI Credits).

GitHub's April 2026 move to usage-based billing drew 767 points on Hacker News, and press reported power users projecting 10×–50× monthly cost increases for heavy agentic workflows.

GitLab's March 2023 Premium increase from $19 to $29/user/month was its first list-price rise in more than five years; existing customers got a one-year transition price of $24.

GitLab runs its entire pricing and company strategy in a public, version-controlled Handbook — the pricing page literally has an 'Edit this page / Please contribute' link in the footer.

By mid-2024 GitLab had quietly removed Ultimate's long-standing $99/user/month list price from the public page, replacing it with 'Contact Sales' — and by June 2026 even Premium's $29 was pulled behind 'Let's talk'.

GitLab Duo AI started as flat $19 (Duo Pro) and $39 (Duo Enterprise) per-seat add-ons in 2024, then converted to a metered GitLab Credits model at $1 per credit by 2026.

GitLab is a fully remote, all-remote company with no headquarters, yet trades publicly on the Nasdaq under GTLB.

Gladia was founded in 2022 in Paris by Jean-Louis Quéguiner (CEO, ex-head of AI at OVHcloud) and Jonathan Soto (CTO).

It raised a $4M seed in June 2023 (New Wave, Sequoia via the Arc program, Cocoa) and a $16M Series A in October 2024 led by XAnge — about $20M total raised.

Gladia started as a fine-tuned, hallucination-reduced version of OpenAI's Whisper (branded Whisper-Zero) and now ships its own Solaria-1 model claiming to remove up to 99% of Whisper's hallucinations.

The pricing page advertises a real-time streaming engine with under-300ms latency and says Gladia is trusted by 300,000+ developers and 5,000+ organizations.

From 2019 to 2024 Gladly published prices openly on gladly.com — a Customer-Facing/Hero seat ran $150/mo, a Task User $38/mo, and an Admin/Reporting user was free.

When Gladly moved to gladly.ai it deleted its public price table entirely: the new /pricing/ URL now 308-redirects to the homepage, hiding every figure behind sales.

Gladly's 2023 AI repackaging introduced a $0.60-per-assisted-conversation outcome charge for its Sidekick AI — one of the earliest published per-resolution AI rates in CX software.

Gladly raises the seat minimum as you climb tiers: its Superhero package once required a 45-hero minimum versus 10 heroes for the base Hero package.

Gladly was incubated at Greylock and has raised roughly $208M (GGV, NEA, Glynn, Riverwood); founder Joseph Ansanelli previously sold Kana and co-founded Vontu.

Glean's pricing page is the redirect: glean.com/pricing 301s straight to the homepage, so the company has effectively no public pricing surface to archive — Wayback holds no usable pricing snapshots.

Glean tripled ARR from ~$100M to ~$300M in roughly 15 months while keeping pricing entirely gated — a counter-example to the 'transparency drives growth' thesis.

Glean's own docs disclose credit-consumption ranges (e.g. a Thinking Mode premium query ~35-120 FlexCredits) but never the dollar value of a credit — usage mechanics are public, price is not.

Glean shares its name with at least two unrelated products: Meta's open-source code-indexing system (glean.software) and Glean.ai, an AP/finance tool — a recurring entity-disambiguation trap.

Gong's pricing form qualifies prospects into four team-size brackets — 1-50, 51-1,000, 1,001-9,999, and 10,000+ — before preparing a customized proposal.

Gong charges a platform fee on top of per-user licenses, but lets you integrate your existing tech stack for free — the opposite of vendors that monetize connectors.

Gong was co-founded by Amit Bendov and Eilon Reshef and rebranded its platform as the 'Revenue AI OS.'

Google Gemini 2.5 Flash-Lite outputs tokens at just $0.40/1M — cheaper per output token than any other frontier-grade model from OpenAI or Anthropic as of mid-2026, enabling cost-effective large-scale deployments.

Google's context caching gives a 90% discount on cached input tokens, meaning a developer who sends the same 100K-token system prompt 1,000 times per day saves roughly $11,250/month compared to charging all tokens at standard rate.

The Gemini API free tier via AI Studio requires no credit card, making it one of the most accessible no-commitment AI API tiers in the market — ideal for student developers, hobbyists, and prototype builders worldwide.

Vertex AI's Priority tier charges 1.8× the standard rate for guaranteed capacity — making Google one of the few AI API providers to explicitly price throughput guarantees rather than bundling them into enterprise contracts.

Google introduced regional (non-global) pricing effective July 2026, adding a 10% premium for Gemini 3 models accessed outside global endpoints — the first time Google split Gemini API pricing by geography.

Gorgias bills on tickets, not seats — every plan from Starter to Advanced includes unlimited users, an explicit rejection of the per-agent model Zendesk and Intercom built their businesses on.

Gorgias has priced AI four different ways in four years: a flat monthly Automation add-on (2022), a bundled automation-percentage slider (2025), a transparent flat $0.90 per resolved conversation (early 2026), and — by mid-2026 — an included-interaction allotment bundled into every plan with $1.50 overage.

Gorgias's core tier prices have barely moved since 2022 — Basic $60, Pro $360, Advanced $900 are the same numbers Wayback shows on the August 2022 pricing page.

Gorgias's May 2024 round valued it at $530M — a down-round from the $710M it commanded in August 2022, even as ARR grew from $25M to $69M over the same span.

Overage economics reward scale: Starter is +$0.40 per ticket, Basic +$40 per 100 ($0.40/ticket), but Pro and Advanced drop to +$36 per 100 ($0.36/ticket).

Granola's free plan is capped at 25 meetings for the LIFETIME of your account — not 25 per month. Once you hit it, you upgrade or stop recording.

Granola charges the same monthly rate whether you pay monthly or yearly — there is no annual discount, which is unusual for SaaS.

Granola launched in May 2024 at a flat $10/month and reached a $1.5B valuation on a $125M Series C in March 2026 — roughly three years from founding.

Granola donates 1.5% of every subscription to carbon removal via Stripe Climate.

Granola is London-based (Shoreditch) and went from notetaker to 'enterprise AI app,' with Brex naming it a trusted tool in its AI-native rebuild.

Grok has THREE ways to pay for roughly the same model: a standalone SuperGrok subscription ($30/mo), the X Premium+ bundle ($40/mo that folds it into ad-free X), and Grok Business at $30/seat — plus a Free tier. The cheapest path to SuperGrok features depends entirely on whether you also want X.

SuperGrok Heavy costs $300/month — 10x the standard SuperGrok tier and one of the most expensive consumer AI subscriptions on the market, aimed at Grok 4 Heavy multi-agent reasoning.

X Premium+ jumped from $22 to $40/month in February 2025 — an 81% increase — the day after Grok 3 launched, making bundled Grok access the explicit justification for the hike.

X Premium+ subscribers get 50% off a standalone SuperGrok add-on and X Premium subscribers get 25% off, so the bundles and the direct subscriptions are deliberately cross-discounted rather than mutually exclusive.

The Grok consumer app and the xAI developer API are billed as completely separate surfaces: a $30 SuperGrok subscription buys you zero API credits, and the API's per-token rates (grok-4.3 at $1.25/$2.50 per 1M) live on a different page entirely.

Groq's Llama 3.1 8B Instant at 840 tokens/second is one of the fastest published throughput rates for any 8B-class model in commercial inference — the LPU silicon architecture is designed specifically for inference rather than training, which is what makes the speed and pricing combination possible.

Groq was founded in 2016 by Jonathan Ross, the original engineer behind Google's TPU (Tensor Processing Unit) — making it the rare commercial AI inference platform built on bespoke silicon designed by the same engineer who pioneered modern ML accelerators.

Groq's LPU (Language Processing Unit) deliberately avoids the GPU model: each chip has deterministic execution, no HBM (uses on-die SRAM), and no GPU-style branch prediction — the trade-off is lower per-chip memory but vastly higher single-stream throughput.

Built-in tools have explicit per-use pricing: web search at $5–$8 per 1,000 requests, website visits at $1 per 1,000 requests, and code execution at $0.18/hour — making Groq one of the few platforms where agentic tool usage has transparent line-item billing.

Whisper transcription pricing differentiates by model variant: Whisper Large v3 at $0.111 per hour transcribed (higher accuracy, slower) versus Whisper Large v3 Turbo at $0.04 per hour transcribed (lower accuracy, much faster) — the 2.8× price spread reflects the engineering trade-off.

Gumloop's Pro plan has no fixed price — a credit slider sets it anywhere from $37/mo (20k credits) to $1,840/mo (1M credits), then hands off to 'Contact sales' above 1M.

Seats are free on every paid Gumloop plan: Pro includes unlimited seats, so the only thing you pay for is credits — a near-total inversion of the per-seat SaaS norm.

Bringing your own API key cuts agent AI-model credit costs by 50%, and most native workflow nodes (logic, loops, Google Sheets, Slack) cost 0 credits.

Credits don't roll over month-to-month on Pro — only Enterprise plans get rollover — so unused capacity is forfeited each cycle.

Gumloop started life as AgentHub (Y Combinator W24) — its 2024-02-08 Launch HN drew 162 points — and for over a year priced fixed $97 Starter and $297 Pro tiers before scrapping them for today's $37 credit slider.

Harvey publishes no pricing page at all — harvey.ai/pricing returns a 404, and the public site is a pure demo-request funnel with enterprise logos where a rate card would be.

When Artificial Lawyer estimated Harvey's per-seat economics after the LexisNexis deal, Harvey publicly pushed back, calling the assumptions 'wildly off' while still declining to share actual rates.

Harvey crossed $100M ARR in August 2025 — roughly three years after founding — and reported ~$190M+ ARR by early 2026, on its way to an $11B valuation in March 2026.

Co-founder Winston Weinberg is a former litigator at O'Melveny & Myers; that practitioner credibility helped Harvey land 45+ AmLaw 100 firms as customers.

Hebbia's pricing page is literally just a 'Contact Sales' button — there is no published rate card anywhere on the site.

Third-party reporting pegs Professional seats near $10,000/year — and Reddit chatter has compared the all-in cost to a Bloomberg Terminal subscription.

Hebbia deliberately refuses consumption pricing despite running heavy AI workloads: usage is unlimited within a seat tier, capped only by a Fair Use Policy.

Roughly a third of the world's top asset managers by AUM are reported Hebbia customers; clients include Centerview Partners, Oak Hill Advisors, and the US Air Force.

Hebbia hit ~$13M ARR by mid-2024 after a reported 15x expansion in 18 months, then raised $130M from a16z and Index at a ~$700M valuation.

Hedra meters per-second video, per-megapixel images, and per-1,000-character speech all through one fungible credit wallet — a 1-second Sora 2 Pro clip costs 70 credits while a 1-second Hedra Avatar clip costs just 7.

Monthly subscription credits are use-it-or-lose-it and reset each cycle, but separately-purchased credit packs roll over indefinitely and are only spent after the monthly pool is exhausted.

Annual subscribers receive all 12 months of credits upfront at purchase — a 4,000-credit/month annual plan delivers 48,000 credits immediately, to spend at any pace.

Hedra didn't always sell credits: through March 2025 it billed in video-minutes (Basic $10 = 20 min/mo, Creator $25 = 1 hr/mo) with $0.50/minute overage. It switched to a credit wallet within days of its May 2025 a16z Series A.

Hedra's Live Avatars product (launched July 2025) is billed at a flat $0.05/minute of real-time streaming — completely outside the credit subscription — and the company claims it is 15x cheaper than competing streaming-avatar solutions.

Heidi started life as Oscer and was paid-only: a January 2024 Wayback snapshot shows a Clinician license at $199/month ($1,799/year), with no free tier at all. The free-forever scribe arrived around February 2024.

The product's value metric has never been usage. Heidi has only ever charged per clinician (per seat / per FTE) — it explicitly markets 'unlimited consults' and 'unlimited documentation' at every tier, including Free.

Heidi's October 2025 Series B was led by Point72 Private Investments, billionaire Steve Cohen's firm, at a reported ~$465M valuation — taking total funding to roughly US$97M for a company that was the AI-diagnostics startup Oscer just two years earlier.

By the 2025 Series B, Heidi reported working with over 2 million clinicians weekly and processing 70+ million patient visits across 116 countries — but its Trustpilot score had slipped to 3.3/5 across 481 reviews by May 2026, dominated by complaints about lost recordings.

Heidi renamed its paid tiers twice in 18 months: 'Pro/Together' (2024) became evidence-centric 'Evidence Plus / Clinician / Evidence Team / Practice' by late 2025 — moving the upsell story from features to clinical-evidence depth.

Helicone is a Y Combinator W23 company and one of the most-starred open-source LLM observability projects on GitHub (Apache 2.0).

It hit $1M ARR in June 2024 with a team of about five people, then raised a $5M seed at a ~$25M valuation in September 2024 (led by YC and Village Global).

Helicone's launch plan in 2023 was pure usage: 100K free requests/month, then exactly $1.00 per 10K requests — no seats, no subscription.

Mintlify acquired Helicone in March 2026; founders Justin Torre and Cole Gottdank joined Mintlify and the hosted product went into maintenance mode.

Heptabase is named after a fictional alien language (Heptapod) from the film Arrival that lets its speakers perceive past, present, and future at once — the pitch for thinking visually across time on an infinite canvas.

It's a Y Combinator W22 company that raised a $1.7M seed from HOF Capital, Kleiner Perkins, and others — yet reportedly never spent the investor money, running entirely on subscription revenue (~$200K/month at one point).

There is no free tier and no lifetime license: the only on-ramp is a 7-day trial that quietly hands you Premium-level AI credits no matter which plan you sign up for.

The three paid tiers are functionally one product with three AI fuel tanks — Pro 100, Premium 1,800, Premium+ 8,100 credits/month — a 81x credit spread for a 6x price spread.

HeyGen (founded 2020 by Joshua Xu and Wayne Liang, originally 'Movio/Surreal') only launched its app in September 2022 yet was named G2's #1 Fastest Growing Product of 2025.

HeyGen raised a $60M Series A in June 2024 led by Benchmark at a $500M valuation, after pivoting its cap table away from mainland-China investors.

The Pro plan exposes the same feature set across an 88× credit ladder — 1,000 credits at $49/mo up to 100,000 credits at $4,300/mo — so heavy users scale spend, not capabilities.

HeyGen runs two separate prepaid balances: web-plan 'Premium Credits' (drawn by MCP/OAuth) and an independent API wallet (drawn by Skills/Direct API) — top up one and the other stays empty.

Avatar IV/V videos cost 20 credits/min versus 3 credits/min for Avatar III — a ~6.7× swing that means the engine you pick, not just the runtime, drives your bill.

Higgsfield's live pricing page is a client-rendered SPA that bails out to client-side rendering, so its prices never appear in server HTML, headless capture, or the Wayback archive — the meta keywords still advertise the long-since-renamed 'Basic Pro Ultimate Creator' tiers even though the live cards now read Starter, Plus, Ultra and Business.

Higgsfield renamed and repriced its tiers between January and April 2026: the old Basic/Pro/Ultimate/Creator ladder (roughly $9 to $249) became Free, Starter ($15), Plus ($49), Ultra ($129) and Business ($89/seat) — a credit-metered structure spanning 200 to 3,000+ credits a month.

Higgsfield was founded in 2023 by ex-Snap generative-AI head Alex Mashrabov (who had sold AI Factory to Snap for $166M) and reached a $1.3B valuation on roughly $138M raised, reporting 300,000 paying subscribers and a ~$300M annualized run rate by early 2026.

The platform meters 50+ underlying models — Sora, Veo, Kling, Soul, Nano Banana, Seedance, GPT Image — through one shared 'credit' unit; top-up credits run about $5 per 100, monthly credits do not roll over, and all credits expire after roughly 90 days.

Hippocratic prices its AI agents like labor, not software: roughly $9 per hour of active patient-interaction time, benchmarked directly against the ~$39/hour median wage of a registered nurse.

Its AI Agent App Store pays the clinicians who build agents — 5% of the ~$10/hour base rate plus 70% of any premium they add, capped at $5,000 per agent — turning licensed nurses and doctors into a two-sided supply curve.

Hippocratic hit unicorn status with a $141M Series B in January 2025 ($1.64B valuation, led by Kleiner Perkins), then raised a $126M Series C in November 2025 at $3.5B — backed in part by the health systems that are also its customers.

HoneyHive's free Developer tier ships the full observability and evaluation suite — distributed tracing, custom dashboards, dataset curation, annotation queues, and data export are all enabled, not gated behind a paid plan.

Pricing is metered in 'events,' where one event equals a single trace span or metric-label combination sent via OTLP or JSON — total events = trace spans + metrics.

HoneyHive briefly ran a self-serve paid 'Team' plan at 'Starting $99/month' (50K+ events, data exports, unlimited users) in late 2024, then deleted it — collapsing back to a free-plus-Enterprise structure by December 2024.

The free tier's billing meter was rebuilt mid-2024: it started life metered in 'user sessions' and switched to 'events' around June 2024, aligning the meter with OpenTelemetry spans.

HoneyHive offers startup discounts to companies with under $5M of total funding raised, and was co-founded by two Columbia roommates — CEO Mohak Sharma and CTO Dhruv Singh, the latter previously on Microsoft's OpenAI Innovation team.

HubSpot's public /pricing/crm grid is Cloudflare-gated and failed automated capture on 2026-07-06, but its per-Hub pricing pages render server-side: Starter is $20/seat/mo (or $7 billed annually) across every Hub, while Sales/Service Professional is $90/seat/mo annual and Marketing/Content/Data switch to a flat monthly platform fee.

HubSpot only moved its Breeze Agents to outcome-based pricing on 2026-04-14: the Customer Agent went from $1.00 per conversation to $0.50 per RESOLVED conversation (50 credits), and the Prospecting Agent from a recurring per-enrolled-contact charge to $1.00 per recommended lead (100 credits) — a deliberate 'you pay when it works' repackaging that undercuts Salesforce Agentforce's per-conversation meter.

HubSpot Credits do have a published price after all: capacity packs cost $10 per 1,000 credits per month and pay-as-you-go overage is $0.010 per credit (invoiced in 10-credit increments), per HubSpot's own Products & Services catalog — so a $0.50 Customer Agent resolution is literally 50 credits.

HubSpot still sells a genuinely free CRM tier (up to two users) as the top of a seat-based funnel — a posture it has held since launching the free CRM at INBOUND14 in September 2014, and one most enterprise-scale CRM incumbents refuse to match.

Hugging Face started in 2016 as a teen-focused chatbot app — the name comes from the 🤗 emoji — before pivoting to become the GitHub of machine learning, now hosting well over a million public models.

For Inference Providers, Hugging Face takes no markup at all: it charges the exact provider rate and passes it through, monetizing instead via subscriptions, dedicated endpoints, and Spaces hardware.

Every account, even free ones, gets a small monthly inference allowance — $0.10 for free users, $2 per seat on paid plans — that quietly turns the free Hub into a metered top-of-funnel.

The same NVIDIA A100 costs $2.50/hr on AWS but $3.60/hr on GCP within Inference Endpoints — Hugging Face surfaces the cloud-vendor spread directly to the buyer rather than blending it.

Anthropic bought the people, not the platform: the August 2025 deal was an explicit acqui-hire — Anthropic confirmed it did not acquire Humanloop's IP or assets, so the product was shut down rather than folded into Claude tooling.

Humanloop started as a University College London spinout in 2020 focused on human feedback / data labeling for ML, then pivoted into prompt management and LLM evaluation as the GPT-3/ChatGPT wave created demand for prompt tooling.

It raised only ~$7.9M in total seed funding across two rounds (Index Ventures, Y Combinator, LocalGlobe, AlbionVC) — a comparatively lean raise for a company whose three founders all ended up at Anthropic.

The footer still reads '© 2020 - 2045 Humanloop, Inc.' even as the homepage announces the team is joining Anthropic and the platform is being sunset.

Hume AI was founded in 2021 by Alan Cowen, a former Google DeepMind/Google AI researcher who led work on affective computing and holds a PhD in psychology from UC Berkeley.

EVI's per-minute price has fallen sharply by generation: EVI 1 launched at ~$0.102/min, EVI 2 cut it ~30% to ~$0.072/min, and current tiers drive EVI overage down to $0.04/min at the Business level.

Hume raised $12.7M (Series A, Jan 2023, USV) then $50M (Series B, Mar 2024, EQT Ventures), for ~$72.8M total, and reported 100K+ developers and businesses using its APIs by late 2025.

Hume's published expression-measurement text rate was one of the lowest unit prices in the corpus at $0.00024 per word, before per-modality rates were pulled from the live pricing page in June 2026.

Hyperbolic prices two different value metrics from one account: GPU-hours on its marketplace and per-million-tokens on serverless inference.

It runs a DePIN-style model — aggregating underused GPU capacity from data centers and operators — and accepts payment in crypto (USDC) alongside card and wire.

Marketplace GPU rates are refreshed weekly based on the best available supplier rates, so the per-hour price is a spot/marketplace rate rather than a fixed list price.

Hyperbolic powers inference for Hugging Face and serves the LMSYS Chatbot Arena; an xAI technical-staff member is quoted as a customer.

Hyperline's meter is a percentage of YOUR revenue — 0.6% on the base plan, 0.7% with usage billing — so a billing tool's own price scales with the money it invoices for you, a take-rate model more common to payment processors than to SaaS billing software.

The free tier is literally counted in invoices: '10 invoices for free, no credit card required.' Once you send your 11th invoice you're on a paid plan — usage gating expressed in the most concrete unit a billing tool has.

Hyperline is a Paris (75010) startup founded in 2022 by ex-operators Lucas Bedout and Clement Garbay, backed by Index Ventures and the founders of Qonto, Spendesk and Primer — a French fintech founder network betting on billing as the next layer of the SaaS stack.

Ideogram runs two parallel pricing tracks: a freemium consumer subscription priced in credits, and a developer API priced per output image by model and rendering speed.

On the consumer plans, the cheapest model+speed (Upscale 1.0) costs just 0.5 credits per 4 images, while Ideogram 3.0 Quality costs 6 credits per 4 images — a 12x spread inside the same credit pool.

API character-reference calls cost 1.7x–3.3x the base rate: 3.0 Quality jumps from $0.09 to $0.20 per image when a character reference image is included.

Ideogram raised an $80M Series A led by Andreessen Horowitz in February 2024 (≈$96.5M total) on the strength of typography its rivals couldn't match — reviewers peg its in-image text accuracy near 90–95%.

Imbue was founded as Generally Intelligent in 2022 and rebranded to Imbue in September 2023 alongside its $200M Series B.

Its Series B was reported at a $1B-plus valuation — making it an AI unicorn — with NVIDIA, the Astera Institute, Cruise CEO Kyle Vogt and Notion co-founder Simon Last among the backers.

Imbue trained models on a custom cluster reported at 10,000 NVIDIA H100 GPUs, targeting models above 100B parameters built for robust reasoning.

Despite raising a reported $220M total, Imbue charges customers nothing today — its flagship Sculptor is free in beta and runs on your own Anthropic key.

Co-founders Kanjun Qiu (CEO) and Josh Albrecht (CTO) frame Imbue's mission as 'tools that work for you, not the company that built them.'

Microsoft paid Inflection ~$650M in March 2024 — $620M for a non-exclusive technology license plus $30M for an agreement not to sue over poaching — without formally acquiring the company. It's the textbook 'acqui-hire without an acquisition'.

Investors barely cleared break-even: backers in the early ~$225M round got about 1.5x, while those in the $1.3B round got roughly 1.1x — a 'modest return' Reid Hoffman had promised would make VCs whole.

At Inflection 3.0's October 2024 launch the public API was $2.50 per 1M input tokens and $10 per 1M output tokens — the same rate for both the Pi and Productivity models. That public card was later withdrawn; Inflection has no pricing page today.

Inflection bet against the cloud-rental model: its enterprise pitch is to OWN an on-prem Intel Gaudi 3 appliance for lower total cost of ownership than paying per token to a cloud provider — an unusual stance for a frontier-model lab.

Co-founder Mustafa Suleyman (ex-DeepMind) left to become CEO of Microsoft AI; co-founder Reid Hoffman stayed on Inflection's board. The company kept its name and independence while losing most of its founding team.

Insilico's lead drug Rentosertib (ISM001-055) is the first medicine with both an AI-discovered target AND an AI-designed molecule to post positive Phase IIa data: in the GENESIS-IPF trial the 60mg dose improved lung function by +98.4 mL FVC versus a -20.3 mL decline on placebo, published in Nature Medicine.

Of its whole Pharma.AI platform, exactly one module — Science42:DORA — has a public price you can pay self-serve; PandaOmics, Chemistry42 and inClinico all route to 'Contact Us', and the company-wide insilico.com/pricing page is a literal 404.

Insilico runs a 6th-generation 'Life Star' fully-automated robotics drug-discovery lab in Suzhou's BioBAY that closes the loop from AI target prediction to wet-lab experiment with essentially no human intervention.

Its US$4.6B in cumulative partnership value dwarfs its US$56.24M of 2025 revenue — a reminder that for AI-biotech the real 'price' is future milestones and royalties, not today's software subscriptions.

Insilico's December 2025 listing was the largest Hong Kong biotech IPO of the year (~US$293M), even as the company kept most of its software quote-only.

Instantly was bootstrapped to roughly $2.4M ARR in its first 9 months and ~$20M ARR by December 2024, reportedly with no institutional funding — one of the most-cited bootstrapped cold-email success stories.

Instantly started in 2022 as a pure email sequencer that told buyers to get leads elsewhere — its 2022 FAQ literally answered 'Do you also provide leads?' with 'Not yet ;) but there are good options like Apollo.io.' By 2026 it sells its own 450M+ lead database.

Wayback snapshots show Instantly's headline Growth price climbing from $37 (2022) through a yearly-default $30 (2023-2025) to a monthly-default $47 (2026) — the same $47 number that once meant the lead add-on now means the entry email plan.

The annual discount only applies to the Outreach email-sending plans (Growth $47→$37.6/mo); the Instantly Credits lead-database plans show the same price on Monthly and Yearly.

Every Outreach tier includes unlimited email accounts and unlimited warmup — Instantly meters on emails sent and uploaded contacts, not on the number of mailboxes.

Intercom sells Fin AI Agent as a standalone product that runs INSIDE its competitors' helpdesks — Zendesk, Salesforce, etc. — at the same $0.99/resolution with a 50-resolution monthly minimum and no seat fee. It's a rare 'compete on your rival's surface' pricing move that removes switching costs entirely while still collecting outcome revenue.

Intercom's Early Stage Program offers a 93% first-year discount for startups with fewer than 15 employees and under $10M funding, making the Essential plan effectively about $2/seat/month plus 300 free Fin outcomes per month — one of the most aggressive startup discounts in B2B SaaS and a quiet pricing-tier-by-stealth that's invisible to anyone who doesn't qualify.

Fin's $0.99/resolution is one of the cleanest outcome-based meters in AI today — most 'AI product' pricing meters input (tokens, API calls, queries) regardless of whether the user got what they came for. Intercom only bills when Fin closes a conversation without human escalation, which structurally aligns vendor incentives with customer outcomes.

Fin's $0.99-per-resolution launch in 2023 is widely credited with kicking off the outcome-based pricing wave in AI customer support.

Fin only bills for resolved issues — unresolved conversations are free, aligning Intercom's revenue with customer-stated value.

Fin can be deployed standalone on Salesforce or Zendesk with no Intercom seats, turning a platform competitor's helpdesk into a Fin distribution channel.

InVideo's pricing page renders its plan table from a client-side API that was erroring on capture day ('Failed to load pricing information / Network Error / Retry') — the page advertises tiers but the prices themselves load dynamically, so the only thing reliably scrapeable was the FAQ.

InVideo's own FAQ says generative models are billed 'at their original API pricing' — InVideo passes through the raw model cost (Veo 3.1, Sora 2, Kling, Nano Banana Pro, ElevenLabs) and meters it out of your credit pool rather than marking up each model with its own price.

Unused credits don't roll over to the next month — InVideo states it outright in the FAQ — so any allowance you don't burn each cycle is forfeited, a classic use-it-or-lose-it credit mechanic.

Ironclad publishes zero prices — its 'pricing' page is a three-step 'pick products / pick partners / add extras' configurator that ends in 'Get a Custom Quote.'

A Forrester study Ironclad cites on that same page claims a 314% three-year ROI and 65% improvement in contract efficiency — the closest thing to a number on the page is a return multiple, not a price.

Ironclad raised a $150 million Series E in January 2022 at a $3.2 billion valuation, making it the best-funded standalone contract-lifecycle-management company.

Its AI assistant Jurist is built on Rivet, Ironclad's own open-source visual-programming framework — and is generally sold as a paid uplift, not bundled into the base CLM.

Buyers report a ~$15,000 minimum contract spend and 5-8% annual price escalators baked into renewals.

Isomorphic Labs publishes no price for anything: isomorphiclabs.com/pricing is a literal 404 and the only commercial button is 'Work with us'. Yet its disclosed deals are worth billions — Eli Lilly and Novartis collaborations alone carry up to roughly $3B in combined milestone potential, before any royalties.

It is led by a Nobel laureate: founder and CEO Sir Demis Hassabis shared the 2024 Nobel Prize in Chemistry for AlphaFold — the protein-structure system Isomorphic Labs now commercializes through its Isomorphic Drug Design Engine (IsoDDE).

Isomorphic Labs is an Alphabet company spun out of Google DeepMind in late 2021, but it ran in near-stealth for years and only took its first external capital in March 2025 — a $600M round — before a $2.1B Series B in May 2026.

Its Series B cap table is unusually sovereign-and-strategic: alongside Thrive Capital, Alphabet and GV, it includes Abu Dhabi's MGX, Singapore's Temasek, CapitalG and the UK Sovereign AI Fund — a sign that frontier drug-design AI is now a national-strategic asset, not just a SaaS bet.

Unlike a software company, Isomorphic Labs only fully 'gets paid' if molecules work: its model leans on R&D and commercial milestones plus royalties on net drug sales, so the revenue meter is a clinical trial passing, not an API call.

Janitor AI hit ~1 million users in its first 7 days (June 2023) — Instagram took two and a half months to reach the same milestone.

After OpenAI issued a cease-and-desist in July 2023 cutting off API access, Janitor's founder deployed GPUs and built a proprietary model (JanitorLLM) from scratch rather than shutting down.

The chat is free — Janitor's largest cost line for power users lands on someone else's bill: their OpenAI, Claude, or OpenRouter account, billed per token.

Roughly three out of four Janitor AI users are women, an unusual skew for an AI infrastructure-adjacent product.

Jasper launched in early 2021 as Conversion.ai, briefly rebranded to Jarvis, then settled on Jasper in 2022 after a trademark conflict with the Iron Man AI character of the same name.

Early Jasper sold capacity in words: the 2022 Starter plan capped output at 20,000 words/month and 'Boss Mode' charged for unlimited generation — the platform has since dropped word caps and shifted entirely to per-seat pricing.

Jasper raised a $125M Series A in October 2022 at a $1.5B valuation, one of the first generative-AI 'unicorns', just weeks before ChatGPT launched and reset the market it had been built on.

Today Jasper publishes only its $59–$69/seat Pro price; even the cost of a second seat is hidden behind 'Contact Sales', so the public floor understates the real cost for any team.

Jasper's marketing page calls Business 'the most popular plan' while only the cheaper Pro plan carries a visible price — the recommended tier is the one you cannot self-serve.

Jina AI collapses its entire retrieval stack — embeddings, reranking, URL-reading, web search, deep-search and classification — onto ONE shared token balance per API key, so the buying decision is 'how many tokens' rather than 'which products'. Most retrieval vendors meter each capability separately.

Jina AI was acquired by Elastic (NYSE: ESTC) in a deal completed October 9, 2025; founder/CEO Han Xiao became Elastic's VP of AI, yet the standalone Jina Search Foundation API and its token-credit pricing continue to operate independently.

Jina's free tier hands every new API key 10 million tokens with no credit card — but they are restricted to non-commercial use under a CC-BY-NC license, an unusually explicit license-gate on a free API allotment.

Jina AI's October 2023 launch of 'the world's first open-source 8K-context text embedding rivaling OpenAI' drew a 563-point, 201-comment Hacker News thread — one of the largest embeddings-model discussions on HN.

A single DeepSearch query can burn roughly 500,000 tokens because the agent iteratively searches, reads full web pages and reasons until it converges — so one 'question' on the shared balance can cost as much as embedding hundreds of thousands of documents.

Juicebox was founded in 2022 by David Paffenholz and Ishan Gupta (22 and 19 at founding) and went through Y Combinator's Summer 2022 batch before launching PeopleGPT in late 2023.

The company crossed $10M+ ARR with over 2,500 customers — including Cognition, Ramp, and Perplexity — while operating with essentially no sales team, a textbook product-led growth motion.

Searches are unlimited on every paid plan; the real value metric is 'contact credits' and 'export credits' — unlocking a profile's emails/phones is what actually meters usage, not the search itself.

Juicebox sells autonomous sourcing 'Agents' as a flat $199/agent/month add-on with unlimited contact and email credits — a seat-independent outcome layer bolted onto a per-seat SaaS.

In September 2025 Juicebox raised a $30M Series A led by Sequoia (Coatue, NFDG, Y Combinator, Lux, BOND participating), bringing total funding to $36M.

Julius is operated by Caesar Labs, Inc. (founded 2022), which raised a $10M seed led by Bessemer in July 2025 — angels included Perplexity's Aravind Srinivas, Vercel's Guillermo Rauch and Twilio's Jeff Lawson.

The free tier's monthly message allowance was quietly cut from 15 messages to 5 between the late-2025 and early-2026 pricing pages — a 67% reduction to the free funnel.

Julius switched its core meter twice: it started metering 'messages per month' (15/250/Unlimited) in 2025 and by mid-2026 had migrated to large annual 'credit' pools (24,000 to 1,440,000 credits/yr) with daily-refresh top-ups.

The current pricing page contradicts itself: the detailed plan cards show annual-billing rates ($16/$37/$375) while a secondary 'Key features' table shows the higher monthly rates ($20/$45/$450) for the same plans.

Julius says 2M+ users have created 10M+ data visualizations on the product.

Kaiber has no permanently free plan — the only on-ramp is a paid $5 5-day trial that grants 500 credits, so even 'trying it out' costs money, unusual among consumer AI video tools.

Commercial-use rights don't exist on the cheapest paid tier: a Starter ($10/mo) subscriber cannot legally monetize their output and has to upgrade to Creator ($29/mo) for commercial rights.

Subscription credits evaporate at the end of every billing cycle with no rollover, but separately purchased credit-pack credits never expire — so two credits of the same denomination can have completely different shelf lives depending on how you bought them.

Keap started life as Infusionsoft in 2001 and rebranded to Keap in 2019; Thryv closed its $80M acquisition of Keap on 2024-10-31, so its pricing page now footers a Thryv acquisition link.

Keap used to sell a good/better feature ladder (Keap Grow/Pro, later Pro/Max) where texting, lead scoring and upsells were locked behind the higher tier; the current page now bundles every feature and prices only on contacts + users.

Keap folds its AI Content Assistant and AI Automation Assistant into the single base platform at no extra charge — it never spun AI out as a premium SKU the way many 2024–2026 SaaS vendors did.

Keap replaced its old feature-tiered plans with a single 'entire platform' plan that scales purely on contacts and users — from $299/mo at 2 users and 1,500 contacts.

Every Keap subscription requires a paid implementation package (strategy, data migration, done-for-you automations) on top of the software fee — the price is quoted by sales, not published.

The free trial hard-caps email sends at 25 and blocks payments and texting entirely — it is a demo sandbox, not a usable free tier.

Kill Bill has been an open-source project since around 2010 (5.6k+ GitHub stars) and bills itself as the leading open-source subscription billing & payments platform — the engine has always been free to self-host, with no per-transaction or percentage-of-revenue charge.

Its entire commercial pitch is built on NOT charging a percentage of revenue: the pricing page ships a slider showing that at $25M ARR a flat ~$50k–$75k/yr package beats a typical competitor's 0.7%-of-revenue (~$175k) by roughly $110k+ — and the gap only widens as you grow.

The fully-managed 'Hosted Platform' is run by a separate company called ChaChing, not Kill Bill itself — so the same APIs and data model are available either self-hosted for free, on AWS Marketplace for ~$40/mo, or fully managed under a separate commercial contract.

Krea's free tier resets daily, not monthly: you get 100 compute units per day with no credit card, so the free plan is a renewable trickle rather than a one-time trial balance — a different freemium shape from rivals that hand you a fixed starting credit pile.

One-time compute-unit packs (2,000 to 50,000 units) are added instantly but expire after 90 days, so even purchased credits are use-it-or-lose-it on a rolling quarter — and Krea explicitly nudges buyers to upgrade their plan instead 'to get more credits out of your purchase.'

The 'Max' plan keeps a 60,000-unit monthly meter for full-speed work but bolts on unlimited relaxed (lower-priority) generations on Krea's in-house models — so 'unlimited' here means slow-queue volume on Krea 2, Krea 1, Flux, Z-image or Qwen, not unmetered access to every premium model.

Krisp's Meeting AI annual prices are exactly half the monthly rate — the 'Save 50%' annual toggle drops Core from $16 to $8/user/mo and Advanced from $30 to $15/user/mo.

Accent conversion is metered by the hour-per-day, not unlimited: Core gets 1 hr/day, Advanced 4 hr/day (speaker side) and unlimited listener side, Enterprise is custom.

Krisp runs three separate pricing surfaces from one product switcher: self-serve Meeting AI seats, sales-led Call Center AI per-agent ($10+/agent/mo), and an application-only Voice AI SDK with no public prices.

Krisp launched in 2019 at $20/mo for a single feature — muting your own outgoing mic noise — with incoming noise removal free. Today's $8 Core seat first appeared in early 2023, after a 2020 dip to $3.33/mo and a 2022 step to $5/mo.

Its 2018 Show-HN-style launch drew a 393-point, 107-comment Hacker News thread; the pandemic then drove 20× user growth, 23× more enterprise accounts and 13× ARR in 2020 alone, earning a spot on TIME's 100 Best Inventions of 2020.

Krisp raised its $14M Series A in two tranches — $5M in 2020 then a $9M extension in Feb 2021 — and says its voice models have processed over 4 trillion minutes of conversation across 200M+ devices.

Kustomer's customer-facing AI agents are billed per engaged conversation ($0.60 each) rather than per seat — an outcome-style meter layered on top of seat-based tiers.

The two current plans (Enterprise and Ultimate) carry no published per-seat price; every headline on the pricing page is 'Talk to Sales' — but Wayback snapshots show the same tiers were openly listed at $89 and $139 per user per month as recently as 2021.

Facebook acquired Kustomer for about $1B in 2020, then spun it back out in May 2023 at a $250M valuation — a roughly 75% write-down — with founder Brad Birnbaum still CEO.

Kustomer still documents three generations of plans in parallel — current Enterprise/Ultimate, legacy seat-based Professional/Business, and legacy usage-based ProfessionalAI/EnterpriseAI/UltimateAI.

Kustomer's per-conversation AI meter is not new: a 2021 snapshot priced 'KIQ for Self-Service' at $0.50 per fully-automated conversation, four years before today's $0.60-per-engaged-conversation AI agents.

Labelbox's pricing meter, the LBU, is normalized so different work costs differently: storing data in Catalog is 1 LBU per 60 rows, but labeling in Annotate is a full 1 LBU per single row — labeling is about 60x more LBU-intensive than curation.

The Model product sits in between at 1 LBU per 5 data rows, so a single dataset can burn LBUs at three different rates depending on whether you're curating, labeling, or evaluating it.

Labelbox runs a two-sided expert marketplace, Alignerr Connect, where customers directly hire vetted AI trainers per project — pricing software and human labor through the same platform but on completely different (published vs sales-quoted) terms.

Labelbox is free for teaching staff and students at qualified educational institutions for non-commercial research — a rare academic carve-out for a usage-metered platform.

Lago's entire managed product is quote-only — neither the Business nor the Enterprise tier shows a single dollar figure on the pricing page; both say 'Contact us'.

The free path is genuinely free: the self-hosted Community edition is open source under AGPLv3 (~9.8k GitHub stars) and runs on your own infrastructure, with no license fee.

Lago processes roughly $829M in invoices monthly and counts Mistral AI, PayPal, Groq, and Synthesia among its customers, despite publishing no public prices.

Lago's growth story began with content, not a launch: a 2022 essay 'Engineers' billing nightmares' hit 204 points on Hacker News before the product was even mature.

Lago pivoted hard — its 2022-01 site sold a data-sync tool with public $50–$1,000/mo tiers; the open-source billing platform that exists today was a clean restart.

Lambda started in 2012 building a facial-recognition API for Google Glass, then pivoted to selling deep-learning workstations before becoming a GPU cloud.

Despite the GPU price-deflation narrative, Lambda RAISED its on-demand H100 SXM rate from $2.99 to $3.99/GPU/hr between 2025 and 2026 as demand outstripped capacity.

Lambda signed a multibillion-dollar deal to supply Microsoft with AI infrastructure, then raised over $1.5B in late 2025 at a reported $4-5B valuation, with an IPO rumored for H2 2026.

Lambda charges no egress fees and bills GPUs per minute, but persistent storage keeps billing even when an instance is stopped.

LanceDB's open-source Lance columnar format passed 20 million+ downloads by mid-2025 and is pitched as the fastest-growing format in the data ecosystem.

Runway, Midjourney and Character.ai run LanceDB Enterprise at the scale of tens of billions of vectors and petabytes of training data.

Despite three monetized tiers, lancedb.com/pricing has been a 'we'd love to hear from you' contact form throughout 2025–2026 — there is no public price table.

LanceDB raised $41M total: an $8M seed (CRV, 2024) and a $30M Series A led by Theory Ventures (2025), with Databricks Ventures and RunwayML participating.

LangChain monetizes nothing under its own name: the LangChain and LangGraph frameworks are free open source, and every paid SKU is branded LangSmith. The company name survives in paid pricing only inside 'LangChain Compute Units' — the $1.50 meter for Engine.

The late-2025 repricing from $0.001 per node executed to $0.005 per deployment run flipped who pays more: a 20-node agent invocation that cost $0.02 under per-node billing now costs a flat half-cent, while a trivial 3-node graph got 67% more expensive. Break-even is exactly 5 nodes.

A production deployment's uptime meter ($0.0036/min) runs like a parking meter whether or not anyone calls your agent — roughly $155/month for an always-on deployment before a single run is billed.

Interrupting an agent for human-in-the-loop approval creates a separate billable run when it resumes — on both Deployment ($0.005) and Fleet ($0.05) meters, asking a human literally doubles the invocation charge.

LangSmith Engine's default schedule — 10 to 15 LCUs every 6 hours at $1.50 each — works out to roughly $1,800–$2,700/month if left running, making the agent that fixes your agents potentially the priciest line on the bill.

Langfuse meters on 'units' — the sum of traces, observations, and scores. A single request firing 3 LLM calls and 2 evals is 6 units, so agentic apps with deep call trees burn units far faster than the per-trace billing LangSmith uses.

ClickHouse acquired Langfuse on January 16, 2026 — the same day it announced a $400M Series D at a $15B valuation. The deal just formalized a dependency that already existed: Langfuse v3 had already moved its data layer onto ClickHouse.

Langfuse is YC W23, raised a $4M seed (Lightspeed, La Famiglia, YC), and grew to ~28.7k GitHub stars and 40,000+ builders — one of the most popular open-source LLMOps tools before the exit.

Self-hosting is genuinely free and unlimited under MIT — no usage caps, no seat limits. Langfuse monetizes the OSS core only via Cloud and a paid self-hosted Enterprise tier (SSO/RBAC/audit logs).

LangSmith bills the same trace twice when it 'graduates': a base charge for every trace, plus a separate extended-retention upgrade line when you add feedback, queue it for annotation, or an automation rule matches it.

LangSmith's per-seat model creates a quiet cost trap — teams budget for 5 developer seats, then QA, PMs, and data scientists all want trace access, and the seat count (at $39 each) quietly doubles.

LangSmith hit general availability in February 2024, the same month LangChain raised its $25M Series A; by October 2025 LangChain was a $1.25B unicorn on a $125M Series B.

A June 2025 security disclosure ('AgentSmith') showed a flaw in LangSmith's shared-agent Hub could leak API keys through a malicious agent — a reminder that observability platforms see everything your app sees.

Legora was founded as Leya (an earlier name, Judilica, also appears in filings) and rebranded to Legora in February 2025 — a Feb 2025 Wayback snapshot still shows the literal 'Leya|' cursor mid-hero and a founder letter beginning 'We founded Leya.'

Despite raising a $25M Series A, $80M Series B, $150M Series C and a $550M Series D inside roughly 18 months — reaching a $5.55B valuation by March 2026 — Legora has never published a public price or pricing page on either leya.law or legora.com.

Legora's valuation grew from $675M (Series B, May 2025) to $1.8B (Series C, Oct 2025) to $5.55B (Series D, Mar 2026) — an ~8× markup in ten months while its commercial model stayed entirely sales-led.

Legora is built primarily on Anthropic's Claude models and counts elite global firms — Cleary Gottlieb, Bird & Bird, Goodwin, Mannheimer Swartling, Perez-Llorca — among 800 firms across 40+ markets.

lemlist's entry Email plan is $69/mo for UNLIMITED users — a flat-subscription floor that breaks the per-seat norm of cold-email tools; only the Multichannel tier ($109/user/mo) is priced per seat.

Every paid plan bundles lemwarm, lemlist's email-warmup and deliverability engine, at no extra charge — a feature rivals like Instantly and Smartlead historically metered or sold separately.

Enrichment and intent data are pay-per-success: 1 credit = $0.01, charged only when an action succeeds (5 credits per verified email, 20 per phone number, 20–400 per buying-intent signal).

lemlist is built by lempire, a profitable bootstrapped French company (founded 2018 in Paris by Guillaume Moubeche and brothers Vianney & François Lecroart with ~$1,000) that grew to roughly $28M ARR and a reported $150M valuation — set in late 2021 when the founders sold a 20% stake for ~$30M — without raising a venture round.

lemlist's packaging has been rebuilt at least five times since 2020: Silver/Gold/Platinum ($29/$49/$99) → Email warm-up/Outreach/Sales engagement → a four-tier 'find, warm, reach' relaunch with a 450M lead database (2024) → three tiers with an Enterprise plan (mid-2025) → today's flat-fee unlimited-user Email plan plus per-seat Multichannel.

Leonardo.Ai calls its credit currency 'tokens', but they have nothing to do with LLM tokens — they are GPU-cost units, and a single token does not map to one image or one action: a default 768x768 image costs 1 token while an Alchemy-with-PhotoReal generation can cost 16.

Canva bought Leonardo.Ai in a cash-and-stock deal in July 2024 and took all ~120 staff, yet kept it running as an independent consumer product with its own token-metered plans — so the same pricing page survived the acquisition while Leonardo's models also powered Canva Magic Studio.

Premium and Ultimate plans are effectively 'unlimited with an asterisk': once your monthly token pool hits zero you keep generating on selected first-party models via 'Relaxed Generation' (a slower, lower-priority queue) — but third-party models like Veo 3, Sora 2 and Nano Banana always cost tokens and never go relaxed.

Lightning AI is built by the team behind PyTorch Lightning, the open-source training framework with 350,000+ builders cited on its pricing page.

Every GPU and CPU Studio is billed by the second and drawn down from a credit pool — the headline plan fee mostly buys you a monthly credit allotment, not the compute itself.

The Free tier gives 15 monthly credits that map to roughly 80 GPU hours per month on interruptible (spot) machines — but those free credits expire every month if unused, while purchased credits last 12 months.

Spot/interruptible GPUs are discounted up to 80% versus on-demand, and a single L40S Studio can cost $2.14/GPU/hr on-demand while an interruptible T4 runs as low as $0.52/GPU/hr.

In January 2026, Lightning AI completed a merger with GPU provider Voltage Park, creating a combined company valued at over $2.5 billion with reported ARR above $500 million and a fleet of 36,000+ owned H100/B200/GB300 GPUs.

Lindy's pricing page leads with a struck-through 'Human assistant — $8,000/month' column ('months to train,' 'replies in hours,' 'no coverage on sick days') as the anchor against which $49.99/mo looks like a bargain.

Founder Flo Crivello was Head of Product at Uber and previously founded Teamflow, a virtual-office startup, before starting Lindy in 2023; Lindy has raised about $50M from Menlo Ventures, Coatue, and others.

In April 2024 Lindy's pricing page denominated plans in GPT queries: a credit cost exactly eight cents, and each tier quoted capacity as 'up to X GPT-3.5 / GPT-4 Turbo queries.'

Between January and March 2026 Lindy deleted its free plan (400 credits/month) entirely as part of the pivot from agent-builder to iMessage assistant — replaced by a 7-day trial.

Linear's AI Agent platform is the only paid-feature set it gives away on the Free plan — Free explicitly lists "Agent platform" and "Linear Agent" while capping the workspace at 250 issues and 2 teams.

Linear renamed its paid tiers from Standard/Plus to Basic/Business around 2024 without changing the underlying two-paid-tier structure it has run since launch.

Despite shipping AI agents that can be assigned issues, Linear charges $0 extra for AI — there is no per-token, per-agent, or per-resolution meter anywhere in its public pricing.

Linear's Business tier folded its AI suite (Triage Intelligence, Linear Agent automations, Code Intelligence) into the existing per-seat price rather than launching a separate "AI" SKU.

Linkup gives every new account a $20 credit that auto-refills to $20 every month — a recurring free allowance (~4,000 standard searches) rather than a one-time trial.

Deep search costs 10x a standard search ($0.05 vs $0.005); a former discrepancy — the marketing pricing page advertised a Deep range up to $0.55 while the billing docs capped it at $0.055 — was corrected in July 2026, so both surfaces now read $0.05–$0.055.

Linkup supports the x402 protocol: AI agents can pay per request in USDC on Base with no account or API key, at a flat $0.01 per request.

Until early 2026 Linkup priced in euros with a three-plan layout (Free / Pay as you go / Custom) at €5 and €50 per 1,000 standard/deep queries; the per-request unit price never moved — only the currency, packaging, and free-allowance framing changed.

Linkup is a Paris-founded startup that raised a €3M pre-seed (Seedcamp, Nov 2024) and a $10M seed led by Gradient (March 2026) with angels from Mistral, Datadog, Deel and Dataiku.

LiveKit provides the real-time transport behind OpenAI's ChatGPT voice mode, and its open-source Agents framework — modeled on that work — is downloaded more than a million times a month.

LiveKit launched in July 2021 as a free, open-source, end-to-end WebRTC stack (Apache 2.0) — you can still self-host the full server with no LiveKit fees.

It raised a $100M Series C at a $1B valuation in January 2026 (led by Index Ventures), roughly 3x the $345M valuation from its $45M Series B in April 2025.

Customers include xAI, Salesforce (Agentforce), Tesla and even 911 emergency services; the network handles billions of calls a year.

LlamaIndex started as 'GPT Index', an open-source side project Jerry Liu published in November 2022 — it was renamed LlamaIndex in February 2023, months before the company raised its $8.5M Greylock-led seed.

Every paid plan's price equals the face value of its included credits: Starter's $50 buys exactly 40,000 credits at $1.25 per 1,000. The subscription is a prepaid credit bundle — what you're really buying up-tier is seats, concurrency, and compliance.

In February 2026 LlamaIndex raised the credit price 25% ($1.00 to $1.25 per 1,000) and trimmed included credits about 20% — without ever touching the $50/$500 sticker prices.

The same page can cost anywhere from 1 credit (Fast parse) to 60 credits (Agentic extract on an Agentic Plus parse) — a 60x spread on one meter; v1 agent modes ran as high as 90 credits per page.

LMNT's 2023 pricing page was headlined 'We like to keep it simple' with just three tiers — Free, a single $7/mo Pro, and Enterprise — and the free tier was non-commercial and required attribution to LMNT.

Between late 2024 and early 2025 LMNT cut its per-1,000-character overage rate from $0.17 to $0.05 on Indie (a ~70% reduction) while simultaneously raising the Pro allotment from 500K to 1.25M characters and Premium from 1.5M to 5.7M.

LMNT dropped per-voice-clone fees entirely in 2024 — its 2024-04 page charged $10/mo for each professional voice clone above the included count; by 2024-09 every tier, including Free, advertised unlimited voice clones.

LMNT was founded by Sharvil Nanavati, who previously originated and led the team behind Google Glass; its mid-2023 seed round was led by Elad Gil and Sarah Guo (Conviction).

The Startup Grant gives qualifying sub-20-employee startups 45M credits free over three months (~330 hours of audio per month) with a $0.028/1K overage rate — lower than any published self-serve tier.

Lokalise's headline pricing has more than doubled over its life: the Pro tier went from $160/mo (2019) to $435 (2020) to $585 (early 2022) to $825/mo (late 2022) before the 2025 repackaging retired the Pro name entirely.

The 2025 'new price plans' rebuilt the whole meter — billing moved off hosted keys and all-seat limits onto processed words plus advanced seats, while basic translator/reviewer seats and hosted words became unlimited on every paid plan.

Lokalise charges for two distinct flavors of AI: Standard AI/MT (Google, DeepL) and a premium 'Pro AI' LLM layer with its own annual word pool — Growth gets from 40K Pro AI words/yr, Enterprise 400K, each toppable into the millions.

Founded in Riga, Latvia in 2017 by Nick Ustinov and Petr Antropov, Lokalise raised a $50M Series B led by CRV in December 2021; founder-CEO Ustinov handed the CEO seat to Sophie Krishnan in October 2023 and became Chief Innovation Officer.

API usage is hard-capped at 6 requests per second on every plan including Enterprise — a rate limit that does not lift no matter how much a customer pays.

Lorikeet's entry price tripled in under two years: the Start plan was $500/mo in the September 2024 Wayback snapshot and is $1,500/mo by 2026, while Scale doubled from $2,000 to $4,000.

The credit meter was re-architected entirely — early pricing charged by resolution complexity (FAQ-resolved vs complex-workflow tickets), but the 2026 page charges by channel instead (chat/email/SMS vs voice).

Lorikeet quietly dropped self-serve: 2024 plans had 'Get started' online click-through, pay-by-card checkout, but by May 2025 every tier routes to 'Book a demo'.

Founders Steve Hind (CEO, ex-Stripe) and Jamie Hall (CTO, ex-Google Brain) raised a $35M Series A led by QED Investors in August 2025, taking total funding past $50M.

The headline promise is outcome-based: 'We only charge for successfully resolved tickets. If you're unhappy with how Lorikeet handled a ticket, you don't pay for that ticket.'

Lovable's paid plans aren't per-seat — a workspace's 100 monthly credits are shared across unlimited users, so you pay for AI capacity instead of headcount.

Every AI message spends a credit. Free gets 5 daily build credits (up to 30/month); Pro and Business add 100 credits/month and keep 5 daily build credits with no monthly cap.

Students verified with an educational email get up to 50% off Pro — about $12.50/month — and K12 classrooms (grades 6-12) get free access via the imagi Edu partnership.

Lovable grew out of the open-source GPT Engineer project (50,000+ GitHub stars) and, per TechCrunch, crossed $100M ARR roughly eight months after its November 2024 launch — billed as the fastest software company ever to that milestone.

In July 2025 Lovable swapped flat 1-credit-per-message billing for complexity-weighted credits: a one-line tweak can cost ~0.5 credits while 'add authentication' can cost 1.5+, and error-fix retries are generally free.

Luma doesn't publish a per-plan credit total on its pricing page — it advertises tiers by relative usage instead, so Pro is sold as '4x usage with the Luma Agents' and Ultra as '15x usage', not as a credit number.

The same credit currency means wildly different things per model: a Seedream image can cost as little as 1 credit while a single Veo 3.1 video clip costs 140 credits — a 140x spread inside one wallet.

Audio is metered too — ElevenLabs Music inside Dream Machine costs 98 credits/min and text-to-speech 21 credits per 1,000 characters — so the 'video' tool quietly bills three modalities through one credit pool.

m3ter is a billing company that publishes none of its own prices — the pricing page describes a four-step custom quote and routes every path to 'Talk to us,' with no dollar amounts anywhere.

m3ter's founders, Griffin Parry and John Griffin, learned usage-based pricing from the inside: their prior startup GameSparks was acquired by Amazon's AWS in 2017, and they spent three-plus years studying AWS's UBP model before starting m3ter in 2020.

m3ter prices its own product on the exact two dimensions it meters for customers — usage data ingested and bill calculations performed — bundled as allowances inside a core platform fee.

Salesforce is a strategic investor in m3ter and picked it as the advanced metering-and-rating engine behind Revenue Cloud Advanced and Agentforce Revenue Management, announced March 4, 2026 — but m3ter stayed independent rather than being acquired.

m3ter's call-to-action has cycled through three go-to-market postures — 'Let's Talk' (2022), a brief self-serve-flavored 'Try m3ter' (2023), and back to fully sales-led 'Schedule a demo' (2024 onward).

Magic (magic.dev) is a frontier research lab building code models with 100M-token context windows — equal to roughly 10 million lines of code or 750 novels — yet it has never published a pricing page.

Magic has raised about $515 million from backers including Eric Schmidt, Nat Friedman, Daniel Gross, Google's CapitalG, Sequoia, Jane Street, and Atlassian — despite shipping no self-serve product.

Magic's first model, LTM-1 (June 2023), already had a 5M-token context window; LTM-2-mini (August 2024) pushed that 20x to 100M tokens.

Magic trains on two Google Cloud supercomputers — Magic-G4 on NVIDIA H100s and Magic-G5 on GB200 NVL72 racks — rather than renting out inference like most AI-coding vendors.

Magic was co-founded by Vienna-born Eric Steinberger (CEO) and Sebastian De Ro (CTO); a 2024 update listed just 23 employees against 8,000 H100s.

Make renamed its core billing unit from 'operations' to 'credits' — for non-AI apps 1 operation still equals exactly 1 credit, so the change is a rebrand of the metric, not a repricing.

Make's pricing page pairs a credit-volume slider (10,000 credits/mo up to 8M+) with four named tiers — Free, Core, Pro, and Teams — so at any slider step you still pick a feature tier; Core starts at $9/mo (annual) for 10k credits.

Make is owned by process-mining company Celonis (the pricing-page footer reads '© 2026 Celonis, Inc.').

Make began life as Integromat, a bootstrapped startup in Prague; Celonis acquired it in October 2020 for a reported $100M+ and rebranded it to Make in February 2022.

After the August 2025 'operations → credits' rename, many AI users reported higher bills: the same workflow now consumes credits dynamically by tokens, file size, pages, or run time instead of a flat 1-op-1-credit rate.

Manus launched invite-only on March 6, 2025; its demo video drew over a million views in 20 hours, and invite codes were resold on Chinese platforms for ¥50,000–¥100,000 (≈US$7,000–$13,800).

Manus prices everything in credits: a single typical agent task consumes roughly 150 credits, so the $20/mo plan's 4,000 monthly credits funds only ~26 typical tasks before add-on packs are needed.

At its March 2025 paid launch the entry plan was $39/mo for 3,900 credits and the top plan $199/mo for 19,900 credits; the current $20 / $40 / $200 ladder (4,000 / 8,000 / 40,000 credits) is a re-cut of that original scheme.

Manus reached $100M ARR by December 2025 — claimed as one of the fastest-ever climbs — built by Singapore-headquartered Butterfly Effect after relocating out of China amid a US CFIUS review of its Benchmark-led round.

Meta agreed to acquire Manus in December 2025 (reported at US$2–3B), but China's NDRC blocked the deal on April 27, 2026; the live pricing page now footers '© 2026 Meta · bringing AI to businesses worldwide.'

Maven AGI was founded by Jonathan Corbin, a former senior HubSpot executive, and pitches itself as 'the enterprise AI company unifying the full customer journey' with 'Business AGI.'

Maven advertises that its agents answer up to 93% of customer queries autonomously and resolve issues roughly 10x faster than traditional support — the outcome metrics its commercial model is built around.

Maven raised a 50M Series B in June 2025 led by Dell Technologies Capital, with Cisco Investments, Lux Capital, M13 and others, bringing total funding to 78M.

Maxio is not a startup but a merger: SaaSOptics (revenue ops) and Chargify (subscription billing) — both founded in 2009 — combined and rebranded to Maxio on 2022-04-13 after a $150M Battery Ventures investment.

Maxio's $599/month Grow tier is a direct descendant of Chargify's old 'Essential' plan, which was also $599/month for up to $100k in monthly billings — but Chargify openly charged a ~0.9% revenue overage on top, which Maxio no longer advertises (Grow is now 'simple flat pricing').

Despite being an LLM-era billing platform, Maxio explicitly does NOT charge per user or per seat — its pricing FAQ answers 'Do you charge for users/seats?' and the platform fee scales with your monthly billings volume instead.

Mem's Series A was led by the OpenAI Startup Fund (~$23.5M, Nov 2022) — one of the fund's earliest bets on a consumer notes app, on top of a $5.6M a16z seed.

The Free plan's limits are unusually literal: exactly 25 notes, 25 chat messages, and 25 PDF pages understood per month — a hard, countable cap rather than a vague 'fair use' policy.

Mem Pro is a flat $12/month with no AI-usage meter, even though every note and chat runs through LLMs — Mem eats the inference cost rather than passing it through as tokens or credits.

The original premium tier was called 'Mem X' and was priced around $8-10/user/month; the Mem 2.0 relaunch retired the name and consolidated it into the simpler $12 'Mem Pro' plan.

In July 2026 Mem introduced a third tier, Mem Proactive, at $99/month — roughly 8x the $12 Pro plan — that bundles an always-on 'Mem Agent' rather than metering it as usage.

Mem0 grew out of Embedchain, the founders' earlier open-source RAG framework — a viral Sadhguru-inspired meditation app they built kept getting the same complaint ('the app doesn't remember my journey'), and that became the company.

Mem0 prices every hosted tier on memory operations, not seats — end users are unlimited on the free Hobby plan all the way up to the $249 Pro plan.

Its startup program quietly shrank between September and November 2025: from 6 months of the Pro plan 'worth $1,500' to 3 months 'worth $1,000'.

The $79 Growth tier only appeared around May 2026 — for over a year, the only step between the $19 Starter and the $249 Pro was a 13x price jump.

AWS picked Mem0 as the exclusive memory provider for its Agent SDK, and Mem0's API calls grew from 35 million in Q1 to 186 million in Q3 2025.

Mercor's contractor side advertises an 'average contracted rate' of $122/hr as of July 2026 — a figure that has swung from $141/hr to $80/hr (late June 2026, when it was relabeled from 'average pay') back up to $122/hr in roughly six weeks — with individual roles posted at $60–$250/hr. But the buyer-side price (what AI labs pay Mercor) is never shown publicly. Third-party analysts estimate the recruiting fee near 30%.

Every buyer surface — Experts, Data, Enterprise, Partner — terminates in a 'Talk to the team' contact form; there is no self-serve checkout or rate card anywhere on the site, even though the company advertises a $2B+ revenue run rate.

Mercor's three founders — Brendan Foody, Adarsh Hiremath, and Surya Midha — are former Bay Area high-school debate teammates, Thiel Fellows, and (per multiple outlets) among the world's youngest self-made billionaires after the company hit a $10B valuation at age 22.

In March 2026 Mercor was hit by a supply-chain breach traced to the compromised open-source LiteLLM project; the 600-point Hacker News thread and Wired reported a major lab (Meta) paused work in response — a rare trust event for a sales-gated, price-opaque marketplace.

For years Metronome published zero dollar amounts, despite being a billing company that sells the ability to meter and price on consumption — but by mid-2026 its Starter plan finally showed real rates: $100,000 in billing volume and 10M events included per month, then 0.8% and $0.04 per 1,000 events. The Custom plan is still sales-quoted.

Metronome's free Starter and Custom plan families only appeared between January and February 2026 — for years before that the pricing page was a single 'custom pricing' contact form with no tiers at all.

Stripe completed its acquisition of Metronome on January 14, 2026; the deal was announced December 2, 2025 and press reported a price of roughly $1 billion, though terms were not officially disclosed.

Metronome's metering engine powers usage-based billing for OpenAI, Anthropic, and NVIDIA — three of the largest names in AI.

micro1 used to publish prices: in 2023 it was a developer-staffing marketplace that listed per-engineer hourly rates ($28–$42/hr, averaging ~$34) right on each profile, with a public 'Pricing' nav link — today it publishes nothing and the /pricing path 301-redirects to the homepage.

micro1 grew ARR from roughly $7M at the start of 2025 to about $50M by September 2025, when it raised a $35M Series A at a $500M valuation led by 01 Advisors (Adam Bain and Dick Costolo, ex-Twitter).

Its government page claims 130,000+ vetted candidates across 100+ domains and 60+ languages, and 2,000+ U.S. jobs created in two months.

micro1's research lab frames human data as a '$1 trillion/year market', yet the product itself now carries no published unit rate — the only public billing signal is a 'cost per task' metric mentioned on the government page.

CEO Ali Ansari was 24 when micro1 raised its Series A; board members include DoNotPay founder Joshua Browder and ex-Twitter COO Adam Bain.

Dynamics 365 is priced per-app, not per-suite: a Sales Professional seat is $65/user/mo while a Finance seat is $210/user/mo — a company running four apps is effectively buying four separate SaaS products under one brand.

Microsoft split AI pricing into two layers: base 'Copilot' features are folded into the seat price at no extra charge, but running autonomous *agents* consumes a separate metered currency called Copilot Credits.

Copilot Studio meters agent work at the sub-action level — a classic answer costs 1 Copilot Credit, a generative answer 2, an agent action 5, and tenant-graph grounding 10 — and disables agents once a tenant hits 125% of prepaid capacity.

The premium tiers (Sales Premium, Finance Premium, Supply Chain Premium) each bundle exactly 1,000 Copilot Credits per user per month, turning the AI meter into a soft entitlement rather than a pure pay-as-you-go charge.

Midjourney employs roughly 107 people yet generates an estimated $300–500M in annual revenue — one of the highest revenue-per-employee ratios in AI at ~$3–4M per employee.

Midjourney has never raised external venture capital; founder David Holz bootstrapped the company to profitability from day one, rejecting VC funding even at a ~$10B implied valuation.

The free trial was killed in April 2023 specifically because deepfake images of Donald Trump being arrested and Pope Francis in a Balenciaga puffer jacket went viral — not because of cost pressures.

Midjourney bills in GPU hours rather than image counts: one standard image generation uses roughly 1 minute of GPU time, meaning the $10 Basic plan yields approximately 200 images.

Turbo mode runs at 3.5× Fast speed but consumes 2× the GPU hours — making it cost-equivalent to generating twice as many Fast images.

Milvus is a graduated, top-level project of the Linux Foundation's LF AI & Data Foundation — the software is free under Apache-2.0; you pay only the company (Zilliz) if you use the managed cloud.

Zilliz's October 2025 tiered-storage rebuild cut managed storage 87% — from $0.30 to $0.04 per GB/month — by keeping full datasets in object storage (S3) with local SSD/RAM as a >90%-hit cache.

Zilliz raised a $60M Series B extension in August 2022 (on top of an earlier $43M), bringing total funding to ~$113M, and relocated its HQ to the San Francisco Bay Area.

MiniMax-M1 (June 2025) was billed as the first open-source, large-scale, hybrid-attention reasoning model — open weights on Hugging Face, a 1M-token context, and an 80k-token reasoning budget.

MiniMax pitches M2's $0.30/M input price as roughly 8% of Claude Sonnet 4.5's token cost at nearly twice the inference speed.

MiniMax raised about $619M in its January 2026 Hong Kong IPO and jumped about 43% on debut to a ~$9.3B valuation — on just ~$53M of revenue against a ~$512M loss for the first nine months of 2025.

The Token Plan subscription scales by agent concurrency (3–7 simultaneous agents across Plus/Max/Ultra) and rolling/weekly quota windows rather than per-seat licensing.

MiniMax runs two consumer apps — Talkie, an AI character role-play companion for international markets, and Hailuo AI, its video/speech/music showcase that competes with Sora.

Mintlify's free Starter plan is unusually generous — it ships the full platform, custom domain, and MCP server at $0, where most docs platforms paywall those.

Roughly 50% of documentation traffic on Mintlify-hosted docs now comes from AI agents, not humans — which is why GEO and agent optimizations are first-class features.

Mintlify came out of Y Combinator's W22 batch and reached a $500M valuation on its $45M Series B in April 2026, with 20,000+ companies including Perplexity, X, Cognition, and Anaconda.

Mistral's Pro subscription launched at $14.99/mo in February 2025 — a deliberate $5 undercut of ChatGPT Plus ($20/mo).

The same per-million-token meter underpins both the developer API and the consumer Vibe assistant, with Vibe overages billed at API rate via PAYG credits.

Mistral ships open-weight models (Mistral Small 4 under Apache 2.0, Mistral Medium 3.5 under a modified MIT license) and charges per token to call them — a hybrid of open weights plus hosted inference.

Paris-based Mistral raised a €1.7B Series C in September 2025 led by chip-equipment maker ASML, valuing it around $14B.

Mistral renamed Le Chat to Vibe in May 2026, repositioning the chatbot as an autonomous work-and-code agent rather than a chat window.

Modal's per-second billing granularity ($0.001097/sec on H100) means a 5-second cold start costs $0.0055 — among the finest billing granularity in any cloud compute product, two orders of magnitude finer than the per-minute industry standard.

Modal was founded in 2021 by Erik Bernhardsson (ex-Spotify ML, creator of Luigi and Annoy) — making it one of the few infrastructure platforms where the founder is the primary author of widely-deployed open-source data tooling, lending unusual credibility to the developer-experience pitch.

Modal grants up to $10,000 in credits to qualifying startups and academic researchers — one of the most generous credit programs in cloud compute, reflecting the founder's bet on developer-led GTM rather than enterprise sales-led growth.

The Team plan ($250/mo + $100 credits) is the platform's only mid-tier subscription — its presence between the free Starter tier and the quote-based Enterprise tier creates a rare 'committed mid-market' SKU that most serverless GPU competitors omit.

Modal's storage tier ($0.09/GiB-month with 1 TiB free) is positioned to absorb model weights and dataset storage without forcing customers onto S3 — a vertical integration choice that simplifies the developer experience but reduces multi-cloud flexibility.

Moonshot AI's name (月之暗面, 'Dark Side of the Moon') comes from founder Yang Zhilin's favorite Pink Floyd album — the company launched on the album's 50th anniversary in March 2023.

The legacy moonshot-v1 API charges different per-token rates for the SAME model depending on context window: $0.20/$2.00 per 1M at 8k, but $2.00/$5.00 at 128k — context length is literally the price axis.

Moonshot pioneered context caching for LLM APIs in 2024; cache-hit input is billed ~80–85% below cache-miss (e.g. $0.10/M vs $0.60/M on Kimi K2.5).

Kimi K2, the 1-trillion-parameter open-weight model launched July 2025, became the fastest-downloaded model on Hugging Face just one day after release.

Kimi K2.6 (April 2026) raised API input prices 58% ($0.60 to $0.95/M) — read by analysts as a pre-IPO move ahead of a reported Hong Kong listing, after Moonshot raised ~$2B at a $20B valuation.

Motion launched in 2021 as a $19/mo Chrome-extension calendar tool with a tab manager and distraction blocker — its pricing page didn't mention task management or AI at all.

For three months in late 2025 (roughly Sep–Nov), Motion replaced its whole pricing page with an 'AI Employees' grid running from AI Workplace at $29/mo (1,000 credits) up to AI Employees Plus at $599/mo (250,000 credits), then quietly reverted to the simpler Pro AI / Business AI structure by December.

Motion's Series A angel list included Sam Altman, Michael Seibel, and Cyrus Mistry — the early Google Calendar product lead — backing a calendar-automation startup.

Motion's headline marketing claim is 'Finish 137% more work,' and its pricing page links directly to four competitor comparison pages (vs Wrike, Asana, ClickUp, Monday).

Despite a $550M valuation and 100,000+ customers, Motion carries a well-documented Trustpilot pattern of complaints about trial-to-annual auto-conversion charges and refused refunds.

MultiOn's pricing page defined a 'request' as one action on a webpage and gave its own example: buying a book on Amazon takes about 5 requests (search, click the link, add to cart, check out, purchase) — roughly $0.20–$0.40 per completed purchase at launch rates.

MultiOn halved its API prices within about five weeks of public beta — Wayback shows Basic at $0.08/request on 2024-04-14 and $0.04 by 2024-05-21.

Backed by General Catalyst, Amazon's Alexa Fund and Samsung Next, MultiOn raised a $20M Series A in June 2024 at a reported ~$100M valuation — six months before announcing the pivot away from the API.

After the May 2024 price cut, the published tiers left a hole: Basic ended at 999,999 requests and Premium started at 2,000,000, so the 1M–2M band matched no listed tier — at Basic rates, 1.5M requests cost $60K, more than Premium's entire $50K annual minimum.

Murf splits its pricing across two motions: the Studio app sells flat-rate subscriptions metered by voice-generation hours, while the Murf API is pure pay-as-you-go at $0.01 per 1000 characters for its Falcon model.

Murf Studio meters voice generation by time per year, not per month — Creator includes 24 hrs/year and Business 96 hrs/year of voice generation rather than a monthly minute bucket.

Murf API credits never expire once purchased, and every API account gets $10 of free credit refreshed every month; early-stage startups can apply for $1,500 in free credits over 3 months.

Across Murf's archived pricing (2021–2024), the Basic ($13→$19) and Pro ($26) Studio tiers barely moved while the Enterprise tier swung from $83 to $166 to a per-seat $59, then $99, then $75 — almost all the price action happened at the enterprise edge.

Murf's pricing page is a JavaScript single-page app, so every Wayback snapshot from September 2024 onward archived as a blank skeleton — making the exact Basic/Pro → Creator/Business rename date impossible to pin from the public archive.

n8n bills by completed workflow executions, not by step, node, task, or user — a single execution can fan out across hundreds of nodes and still counts as one.

Until August 2025 every n8n cloud tier capped how many workflows you could keep active (5 on Starter, 10 on Pro); the 2025 repricing removed that cap and made users, workflows, and steps unlimited on every plan, leaving executions as the only meter.

n8n coined the term 'fair-code' in March 2022 when it swapped Apache 2.0 + Commons Clause for its Sustainable Use License, which it built on top of Elastic License 2.0.

n8n raised a $180M Series C at a $2.5B valuation in October 2025 — led by Accel with NVIDIA's NVentures participating — on the back of 10× revenue growth, after repositioning from 'Zapier alternative' to AI-agent orchestration.

The self-hosted Community Edition is free and open, so n8n competes against its own paid cloud on the same codebase; in 2022 the pricing page led with two free self-host options and put managed Cloud behind a separate early-access tab.

Nabla started in 2018 as a consumer healthcare 'super app for women' (practitioner chat, telemedicine, in-app purchases) and only pivoted to the clinician scribe Copilot in March 2023 — its current business has almost nothing to do with its original product.

Nabla publishes no price list: the /pricing URL returns a 404 and the homepage routes you to a self-serve 'Try it for free' signup or 'Talk to our team' — so the widely-cited ~$119/mo Pro price is third-party-reported, not official.

The free clinician tier gives residents and interns unlimited notes — a deliberate bottom-up land-and-expand move that seeds Nabla inside teaching hospitals before the attending physicians ever pay.

Nebius spun out of the former Yandex: after Yandex N.V. divested its Russian operations in 2024, the remaining international assets were renamed Nebius Group and relisted on Nasdaq as NBIS.

Despite the GPU price-deflation narrative, Nebius's B200 on-demand rate reportedly climbed from roughly $4.40/hr toward $5+ as AI demand outran supply — even as it advertises Explorer access from $1.50/GPU/hr.

Nebius offers a preemptible rate roughly 45% below on-demand (H100 $2.15 vs $3.85), letting price-sensitive batch jobs trade reliability for cost.

Kubernetes, networking egress/ingress, and public IPs are free on Nebius — the meter is almost entirely the GPU-hour plus storage.

Netlify 2026 credit-based plans charge no per-seat fee — Pro is $20/month with unlimited members, and usage bills from a shared monthly credit pool (300 / 1,000 / 3,000 credits on Free / Personal / Pro).

AI inference on Netlify is metered by converting AI-model provider costs to USD, then charging 180 Netlify credits per $1 of underlying model spend — so the AI meter tracks raw provider token pricing.

Netlify Enterprise visibly discloses a floor: Custom, starts at $500/month — unusual for an otherwise contact-sales enterprise tier.

In February 2024 a developer's free-tier static site was hit with 190TB of traffic (~55 million downloads of a single 3.44MB MP3) and Netlify issued a $104,000 bill; after a Reddit post hit 1,783 upvotes, the CEO waived the charge entirely — Netlify had no spending caps at the time.

Netlify ran seat-based pricing for years ($19–$20 per team member); it removed seats from the credit Pro plan only on April 14, 2026, reframing pricing around AI-paced development that 'doubled our community in one year' past 8 million developers.

Nomic's main site (www.nomic.ai) pivoted from an embeddings/data-platform company to a vertical AEC (architecture, engineering & construction) agentic platform — its first Wayback pricing snapshot at www.nomic.ai/pricing appeared 2025-11-15, while the legacy Atlas tiers had been archived since October 2024.

The Nomic Platform charges a $1,000/month minimum platform commitment that bundles the first 25 seats — so the practical floor for the AEC product is $12,000/year before any AI usage.

Each $40 seat contributes exactly $20 of AI usage to a single org-wide pool shared across Platform, Assistant, Workflows and the Developer API — half of every seat fee is pre-paid metered consumption.

Nomic Embed text-v1 (released 2024-02-01, Apache 2.0) was the first fully open, reproducible long-context embedding model to beat OpenAI's text-embedding-ada-002 on MTEB — training code and the full 235M-pair dataset were published.

On Atlas, embedding overage is quoted as $1 per 10M text tokens — roughly 100× cheaper than OpenAI's text-embedding-3-small list price per token — and $1 per 50,000 images.

Nooks has never published a dollar price on its pricing page: Wayback snapshots from May 2023 through April 2026 all show named tiers or product cards behind a 'Request Pricing' / 'Get Nooks pricing' button, never a number.

Nooks repackaged its pricing page at least four times in three years — from persona tiers (Cornerstone / Connect / Catalyst, 2023) to Growth/Enterprise (2024) to three 'AI assistants' (early 2025) to today's five product lines — without ever changing the gated, sales-only motion.

The 2023 pricing page offered a 'Try for Free' button next to 'Request Pricing'; by 2024 the free path had disappeared and every CTA routed to sales.

The Contact Data Enrichment package bundles access to six data providers (Wiza, People Data Labs, Apollo, Forager, Datagma, Prospeo) under one Nooks subscription instead of separate contracts.

Nooks raised a $43M Series B led by Kleiner Perkins in October 2024 — the same announcement that rebranded the product an 'AI Sales Assistant Platform' — bringing total funding to about $70M on top of a $22M Series A six months earlier.

Notion AI launched in February 2023 as a $10/member/month add-on. Just over two years later, Notion deleted that line item and baked AI into its base plans — a rare 'un-bundling-into-bundling' reversal.

Business is the only tier Notion markets as 'the AI workspace for work that matters' — bundling AI there let Notion lift the price from $15 to $20/seat without launching a new SKU.

Notion runs two pricing models at once: flat per-seat subscriptions for everyday AI, and pure consumption ($10 per 1,000 credits) for autonomous Custom Agents and Workers.

Novita publishes per-second billing for both GPU instances and agent sandboxes — a 5-minute coding-agent task on 1 vCPU + 512 MiB RAM is quoted at roughly $0.0034.

The same NVIDIA H100 appears at two prices depending on product: $1.99/GPU-hour as a dedicated endpoint and $1.70/GPU/hr on an 8-GPU bare-metal node — and Novita has stopped listing H100 on its self-serve GPU-instance page entirely, which is now RTX-class only.

Novita lists 226 models on its catalog and undercuts first-party APIs — DeepSeek V3.1 runs $0.27 input / $1 output per million tokens versus DeepSeek's own rates.

Spot GPU instances are priced at roughly half the on-demand rate (RTX 4090 $0.33 on-demand vs $0.17 spot as of mid-2026 — down from $0.67/$0.34 earlier in the year).

Novita started in 2023–2024 as a credit-funded Stable-Diffusion image API billed in USDT/Stripe top-ups ('1/10 the price of DALL-E2 and MJ') with a Singapore HQ — only pivoting into LLM + GPU inference and relisting in San Francisco through 2025.

Only one of Numeric's three tiers carries a public price — Essentials at $30/user/mo; Growth and Enterprise are both 'Custom' and gated behind a demo form.

The entry tier used to be free: 2024–early-2025 Wayback snapshots show a 'Starter' plan reading 'Begin for free, then starts at $30/month/user' — by 2026 the free-trial language was dropped and the tier renamed 'Essentials.'

Numeric's tiers are keyed to ERP maturity, not feature counts: Growth targets QuickBooks/Xero teams, Enterprise targets NetSuite teams — the demo form's General Ledger dropdown effectively routes the quote.

Numeric raised a $51M Series B led by IVP in November 2025 (total funding ~$89M) and launched its Cash Management product the same day — Brex's pilot lifted its transaction match rate from 30% to over 90%.

Angel backers include Marc Huffman (former CEO of BlackLine) and Ron Gill (former CFO of NetSuite) — two of the incumbents Numeric competes against on close management.

Observe.AI's public /pricing URL returns a 404 ('Lost In Space') — there is no published price list; everything is quoted by sales.

Third-party guides report a ~100-seat minimum and a mandatory annual commitment, with no monthly billing and no free trial.

AWS Marketplace listings put a single module at roughly $69/agent/month ($828/agent/year) — but that is one product, not the full platform.

Observe.AI raised a $125M Series C in April 2022 led by SoftBank Vision Fund 2, with Zoom joining as an investor; total funding is about $214M.

OctoAI began life as OctoML, a 2019 University of Washington spinout commercializing the Apache TVM compiler project before pivoting into a hosted generative-AI inference platform.

NVIDIA reportedly paid about $165M (up to ~$250M with retention) — roughly 18 cents on the dollar versus the ~$900M valuation OctoAI raised at in its 2021 Series C.

After the acquisition NVIDIA gave developers only about five weeks to migrate before the public API went dark on Oct 31, 2024 — there was no successor 'powered by OctoAI' product.

OctoAI marketed the 'fastest SDXL endpoint' at roughly 3.1 seconds, and it was OctoStack — the private, hardware-agnostic deployment layer — that NVIDIA was really after.

GPT-4's launch in March 2023 at $60 per million output tokens made it the most expensive widely-available model in history — within 26 months OpenAI had cut equivalent capability cost by 98% with GPT-4.1 at $8/1M output.

ChatGPT reached 1 million users in 5 days after launch in November 2022 — the fastest consumer product adoption ever recorded at that time. It passed 100M users in 60 days.

OpenAI's $200/month ChatGPT Pro plan, launched December 2024, gives unlimited access to o1 Pro mode — a configuration that uses significantly more compute per query than the standard o1 model and was not previously available at any price.

OpenAI uses a 'soft limit' system for API usage: there is no hard cap by default, but users can set monthly spend limits in the dashboard to prevent runaway costs from agentic loops.

The GPT-4o mini model at $0.15/1M input tokens is 97× cheaper than the original GPT-4 launch price ($15/1M input), while scoring competitively with GPT-4 on many benchmarks — the fastest cost-performance improvement in AI model history.

OpenMeter's pricing page no longer shows any prices — it is now purely a migration notice announcing that OpenMeter Cloud has become Kong Metering & Billing after Kong acquired the company on September 3, 2025.

A billing-infrastructure vendor changed its own pricing model three times in two years: usage-based per-event ($30+) in 2023, flat $249–$349/mo fixed in 2024–early 2025, then back to usage-based ($249/mo + events + a 0.4% billing-volume fee) by mid-2025.

OpenMeter is Apache-2.0 open-source and fully self-hostable via Docker Compose or Kubernetes Helm charts, so the core platform can be run for free indefinitely; the repos moved under Kong but stay open source.

OpenMeter is a Y Combinator W23 company that raised a $3M seed round in March 2024 from Y Combinator, Haystack, and Sunflower Capital before being acquired by Kong about 18 months later.

The legal operating entity behind OpenMeter is Tailfin Cloud Inc., still in the site footer copyright even after the Kong acquisition.

OpenPipe cut its training rates roughly 6x in early 2025: the 8B-and-smaller tier fell from $3.00 to $0.48 per 1M tokens and the 70B+ tier from $16.00 to $2.90, captured between the January and April 2025 docs snapshots.

CoreWeave agreed to acquire OpenPipe on September 3, 2025 (terms undisclosed) to fold its reinforcement-learning agent-training stack into CoreWeave's AI cloud — yet the published rate card was unchanged a month later in the October 2025 docs snapshot.

OpenPipe's launch on Hacker News in September 2023 — 'Fine-tune your own Llama 2 to replace GPT-3.5/4' — drew 955 points and 181 comments, one of the higher-scoring fine-tuning threads of that year.

OpenPipe's open-source ART (Agent Reinforcement Trainer) toolkit has roughly 9k GitHub stars and is the RL framework CoreWeave cited as the strategic reason for the acquisition.

Third-party fine-tunes (OpenAI GPT, Google Gemini) run through OpenPipe at the provider's standard rates with zero markup — you are billed directly by OpenAI or Google, and OpenPipe just passes the API calls through.

OpenRouter was founded in early 2023 by Alex Atallah, co-founder and former CTO of NFT marketplace OpenSea — his second marketplace, this time for AI models.

OpenRouter charges no markup on model prices at all; its entire self-serve revenue is the 5.5% fee on credit purchases — a marketplace take rate, not a price.

Annualized inference spend flowing through OpenRouter grew from $10M in October 2024 to over $100M by May 2025 — at a ~5% take, that implied only single-digit-millions of revenue at a $500M valuation.

By May 2026 OpenRouter processed roughly 100 trillion tokens per month for 8 million users — weekly token volume grew 5x in six months — and raised a $113M Series B led by Alphabet's CapitalG at a ~$1.3B valuation.

OpusClip's annual Pro plan front-loads the entire credit allowance: $174 billed annually delivers all 3,600 credits 'instantly' for the year rather than refreshing 300 at the start of each month — unusual for a credit subscription, and it lets a heavy creator burn a year's worth in weeks.

The Free plan isn't really free to keep: exported clips 'will no longer be exportable' 3 days after you make them, so anything you don't download fast effectively disappears — a hard expiry that pushes free users toward a paid seat.

Starter is the only plan locked to monthly billing — the annual toggle (up to 50% off) applies to Pro but not Starter, so there's no discounted path into the $15 tier.

Orb briefly published a "$1,750/month, billed annually" Core starting price in late 2024 — then deleted every dollar amount and went fully "Custom pricing" by early 2025, a near-textbook reversal of pricing transparency for a company that sells pricing tooling.

Orb changed its own value metric mid-stream: through mid-2024 it billed purely on monthly event volume and explicitly said invoicing was included "without charging a percentage of billings" — then it added billings (a cut of invoice value) as a primary metric, doing the exact thing it had advertised it didn't do.

Orb's pricing page doubles as a teaching artifact: it annotates itself with 19 "Anatomy of a Pricing Page" best practices (why three tiers, why a 'Most Popular' badge, $99-vs-$100 charm pricing) used to design the page.

Orb was founded in 2021 by two ex-Asana engineers and has raised $44M (seed $5.1M, Series A $14M, Series B $25M led by Mayfield in 2024), powering billing for Vercel, Perplexity, Pinecone, Replit, and Supabase.

Orb's ingestion is stress-tested to volumes such as 250,000+ events per second, and it meters on billings (total invoice value) — so its own bill compounds with its customers' revenue, not just their raw usage.

Otter's free tier is unusually generous — 300 transcription minutes a month, live transcription, speaker ID and 20 AI Chat queries — which is exactly the point: a wide free funnel feeds the per-seat Pro and Business upsells.

The price you see first is the annual price. Otter shows $8.33 for Pro and $19.99 for Business by default; switch to monthly and they jump to $16.99 and $30 — a 51% and 33% gap that nudges buyers toward annual commitment.

Otter gates a single meeting's length, not just the monthly total: 30 minutes on Basic, 90 on Pro, and 4 hours on Business — so a long all-hands quietly forces an upgrade even if you're under your minute cap.

HIPAA compliance is an Enterprise add-on, not bundled — Otter sells the regulated-meeting use case (healthcare, legal) as a paid layer on top of the seat price rather than a standard feature.

Outreach publishes NO per-seat or per-credit prices: its 2026 pricing page shows three Amplify packages (Core, Plus, Pro) with 'Request pricing' on every tier — the only concrete numbers are AI-credit allowances (25,000 / 50,000 / 100,000) and platform caps (API calls, custom objects, knowledge storage).

Outreach reframed its model as 'seat-based pricing PLUS consumption-based pricing powered by AI credits' — a hybrid where teams buy per-user licenses and then draw down AI credits across prospecting, deal management and forecasting workflows.

The three packages ladder AI credits 25k → 50k → 100k and platform caps in lockstep: API calls 250k → 500k → 1M, custom objects 5 → 10 → 20, and knowledge storage 500MB → 750MB → 1,500MB.

Outreach migrated its primary domain from outreach.io to outreach.ai during 2025–2026, and now brands itself 'the AI Agent Platform for Revenue Teams' rather than a sales-engagement tool.

Despite the consumption-based framing, the bottom of the pricing page still promises 'Per user pricing. No platform fees. Support included.' — signaling the seat license, not the credit pool, remains the primary commercial anchor.

Outreach hit a $4.4B valuation at its June 2021 Series G ($200M), then went through three rounds of layoffs (7% Feb 2023, 12% Sept 2023, 9% in 2024) and a founder-CEO transition before pivoting to the AI-credit model — a reminder that gated pricing outlasts even a leadership change.

Third-party pricing guides reported Outreach quotes around $130/user/month (~$1,680/user/year) in April 2023 plus $1,000–$8,000 implementation — but Outreach itself has never published a per-seat figure, before or after the AI-credit rebrand.

Oxylabs prices every proxy line on a meter that fits the product: residential and mobile proxies bill per GB of traffic, while ISP, datacenter and dedicated-datacenter proxies bill per IP — so the same vendor runs two completely different value metrics side by side.

Its Web Scraper API uses success-based billing: requests that return 5xx/6xx system errors are not charged, and per-1K-results rates even vary by target (Amazon $0.50, Google $1.00, other $1.15 per 1K without JS rendering).

The cheapest residential entry plan ($30/mo Starter at $6/GB) and the cheapest datacenter pay-per-traffic plan ($11.80/mo at $0.59/GB) differ roughly 10x in per-GB price — a clean illustration of how IP type, not just volume, drives proxy pricing.

Oxylabs' residential entry rate has roughly halved since 2022: Wayback shows its premium 'Next-Gen' residential line at $12/GB in late 2022 and $8/GB in 2024, versus $6/GB in 2026 — a textbook case of falling residential-proxy unit prices across the industry.

Oxylabs is a Tesonet-incubated company — the same Vilnius business builder behind Nord Security (NordVPN), Hostinger and Decodo — and has spent years invalidating rival Bright Data's (formerly Luminati) proxy patents, with a U.S. Federal Circuit affirmation on 2025-08-01 bringing the count to twelve invalidated patents.

Paige Prostate Detect was the first AI-based product of any kind to win FDA authorization in pathology (De Novo, September 2021) — the regulatory milestone that lets it be sold as a primary-diagnosis clinical tool, not just a research aid.

Paige publishes no prices: its /pricing URL 404s and every product page routes to 'Request a Trial' or 'Contact Us'. The only public per-slide figure (~£1/slide, ~£15,000 integration) comes from the UK's NICE technology assessment, not from Paige.

Despite raising more than $220M and co-building the Virchow foundation model with Microsoft Research, Paige sold to Tempus AI for just $81.25M in stock in August 2025 — and Tempus's prize was the data: nearly 7 million digitized pathology slides from 45 countries.

Parloa publishes no price table anywhere on its site — even the /pricing path 404s. Multiple third-party reviews put the minimum enterprise contract at roughly $300,000 per year, with average contract value above $350,000, making it one of the most expensive and most fully gated vendors in the contact-center AI corpus.

Parloa tripled its valuation in eight months: a $120M Series C at a $1B valuation in May 2025, then a $350M Series D at a $3B valuation in January 2026, on $50M+ ARR and revenue that quadrupled since its 2024 Series B.

Parloa started in 2018 as a 'Conversational AI' phonebot/chatbot platform — its 2021 site even advertised Alexa Skills and Google Actions — before rebranding the product into the 'AI Agent Management Platform' (AMP) for agentic contact centers.

SAP took a strategic investment and integration stake in Parloa, and the customer roster spans Decathlon, Swiss Life, TUI, KPMG, Allianz, Booking.com, and HealthEquity — a signal the model is built for large-account, sales-led contracts rather than self-serve.

Patronus AI's very first pricing page (Wayback, Sept 2023) was an unfinished template: it listed an 'Individual / Base $25-a-month / Enterprise' table priced in generic 'pages' with literal 'Lorem ipsum' body copy — the $25 tier never reflected a real product.

Patronus AI's Developer plan is fully free with no credit card required, but historical data access (Experiments, Logs, Traces) is capped to the last 2 weeks — a soft retention wall rather than a feature gate.

The optional Patronus API is metered per 1,000 calls, and 'large evaluator' calls cost twice as much ($20/1k) as 'small evaluator' calls ($10/1k) — the only place model size shows up directly in the price.

Patronus AI's per-1k API rates ($10 small / $20 large / $10 explanations) have not moved in Wayback snapshots from December 2024 through June 2026 — roughly eighteen months of price stability.

Patronus AI's Lynx hallucination-detection model (July 2024) was open-sourced on Hugging Face and benchmarked as beating GPT-4 on RAG hallucination tasks at a fraction of the size.

Pebblely is bootstrapped out of Singapore (Pebblely Pte Ltd) and publicly crossed US$1M revenue — its pricing page never exposes a sales-led or enterprise tier, only three self-serve subscriptions.

In its 2024 packaging the top Pro plan offered Unlimited images for US$39/mo; by 2026 the same US$39 Pro tier was capped at 500 images/month — a repackaging from unlimited to a hard monthly allotment.

The 2024 pricing page advertised a custom 'we will create a customized AI for your brand' offer starting at US$3,000/month; that line was removed from the public pricing page in the 2026 repackaging.

Pebblely once had a Free tier (40 images/month); by 2026 the free tier was gone, replaced by a US$9 Lite entry plan with only 30 images/month.

Pebblely's pricing page reports 'more than 25,000,000 images generated' — the value metric (images) is also the headline traction metric.

Perplexity's $200/month Max plan matches OpenAI ChatGPT Pro dollar-for-dollar — a deliberate signal that Perplexity considers itself a peer to the market leader, not just a cheaper alternative.

In July 2024, Perplexity launched a publisher revenue-share program after being accused of plagiarism by Forbes, Wired, and others — effectively monetizing the citations that define its product identity.

Perplexity AI's valuation grew roughly 175× in approximately 30 months: from $121M in April 2023 to $21B by early 2026, fueled almost entirely by subscription growth.

The Sonar API launched in January 2025 as a dedicated search-native API, replacing the earlier pplx-api (October 2023) which hosted generic open-source models with no real-time web access.

Enterprise Pro's SCIM provisioning only unlocks at 50+ seats or with at least one Enterprise Max user — making it the rarest automated provisioning gate in the AI-tools category.

Phind shut down its search service on January 16, 2026 — roughly six weeks after raising a $10.4M round (Bessemer Venture Partners and YC), one of the fastest post-raise wind-downs in recent AI memory.

Phind was a Y Combinator S22 company founded by Michael Royzen and was originally called 'Hello' before rebranding to a developer-focused answer engine.

Phind trained its own Phind-405B model on 256 H100 GPUs (built on Llama 3.1 405B), scoring ~92% on HumanEval — matching Claude 3.5 Sonnet at the time of its September 2024 launch.

Phind's final product, Phind 3 (December 2025), rendered 'every answer as a mini-app' — generating an interactive React webpage per query instead of a text block.

Phind's plan prices were rendered client-side from a runtime API, so no web archive ever captured a server-rendered price — the exact final dollar amounts cannot be confirmed from any primary source.

Until late 2024, PhotoRoom showed a single flat consumer price — Photoroom Pro at $89.99/year — directly on its pricing page; by January 2025 those dollar figures had been removed and the page now reveals Pro/Max/Ultra prices only inside the app checkout.

PhotoRoom raised a $43M Series B at a $500M valuation in March 2024, led by Balderton Capital with Aglae and Y Combinator participating, reaching roughly $65M ARR at the raise and $94M ARR by the end of 2024 (89% YoY growth).

PhotoRoom's API offers a 100%-money-back guarantee: you only pay for images that meet your quality standards, and it explicitly promises a refund if you find a better photo-editing API.

The API Partner plan drops the per-image rate to $0.01 — half the standard Basic rate — for consumer apps that process 100K+ images per month and display the PhotoRoom logo in their UI (a 100K-image × $0.01 monthly commitment, which PhotoRoom describes as roughly one thousand dollars per month).

PhotoRoom's most-discussed Hacker News post was not about pricing but infrastructure: a 297-point 2024 consumer guide to renting NVIDIA H100 clusters, reflecting its build-our-own-foundation-model strategy (Photoroom Instant Diffusion).

Physical Intelligence has raised about 1.07 billion dollars — including a $600M Series B at a ~$5.6B valuation (Nov 2025) — yet sells no product and publishes no price: pi.website/pricing is a literal 404 and the only CTA on the site is 'Join Us' (hiring).

Its founding team reads like a robot-learning all-star roster: Karol Hausman, Sergey Levine, Chelsea Finn, Brian Ichter and Quan Vuong (ex-Google DeepMind / Stanford / UC Berkeley), plus ex-Stripe operator Lachy Groom.

The thing most labs would charge for — a frontier robot foundation model — Physical Intelligence gives away: π0 and π0.5 weights, code and checkpoints ship free under Apache-2.0 in the openpi repo, pre-trained on 10,000+ hours of robot data.

Its Series A cap table paired Jeff Bezos and OpenAI in the same robotics round — OpenAI investing in an embodied-AI lab it does not own, a rare strategic signal for the humanoid-robotics race.

A '$300/month per connected robot' figure circulates online, but it is a third-party analyst's projection of how the lab might monetize — Physical Intelligence has published no such price and charges nothing today.

Pi has never charged a single user a single dollar — it launched free in 2023 and is still free in 2026, making it one of the few well-known consumer AI assistants with no paid tier at all.

Pi's pricing story is really a talent story: in March 2024 Microsoft paid ~$650M to hire its founders and most of its team, leaving the beloved free app running but effectively orphaned.

Pi rations with rate limits, not dollars. The 2024 cooldowns are the closest the product gets to a 'meter' — the unit is usage, but the bill is always $0.

Inflection AI is structured as a Public Benefit Corporation, and Pi was pitched on emotional intelligence — 'kind, curious, and ready to help' — rather than benchmarks or per-token speed.

Pi never broke out user numbers; by late 2023 surveys it sat in the ~2% 'other' bucket behind ChatGPT, Claude, and Perplexity — a free product that won affection but not market share.

Pika's plan names escalate the vibe rather than the persona: Basic, Standard, Pro, and the top tier is simply called 'Fancy' ('the crème de la creativity') with 6,000 monthly credits — playful naming in a category that usually defaults to Team/Business/Enterprise.

The free tier doesn't lock you out of the latest model — it gives you Pika 2.5 — but it caps you at 480p and stamps a watermark on every clip, so the upgrade pressure is resolution and watermark removal rather than model access.

Pika was founded in April 2023 by two Stanford AI PhD dropouts, Demi Guo and Chenlin Meng, and reached a roughly 470M valuation on an 80M Series B by mid-2024 — about a year after launch.

Pinecone's 2024 serverless rewrite pushed the source of truth into blob storage and split reads, writes, and storage into independently-billed layers — making the old pod-based pricing obsolete for new accounts.

A Pinecone query costs ~1 read unit per 1 GB of namespace size, with a 0.25 RU floor — so top_k and metadata inclusion don't change the price; only how much data the query scans does.

For bursty RAG workloads that go quiet overnight, serverless saved customers an estimated 40–60% versus the always-on pod model.

A Pipedream credit equals just 30 seconds of compute at 256MB of memory — so a workflow's cost depends on how long it runs and how much RAM it uses, not how many steps it has.

The Free plan's 100 credits/mo is a hard usage cap, but every paid plan removes the cap entirely — Basic and Advanced both include 2,000 credits with no overage ceiling.

The 'Connect' tier is a product, not just a plan: it sells Pipedream's managed-auth layer and 10,000-tool API to developers embedding integrations in their own apps, at $2 per external user beyond the first 100.

Pipedream was acquired by Workday (announced 2025), putting a developer-first, usage-priced automation platform inside an enterprise HR/finance suite — yet the self-serve Free → Business rate card stayed live and unchanged through June 2026.

Pipedrive has no permanent free tier — only a 14-day, no-credit-card trial — which is unusual for a self-serve SMB CRM competing against free-plan rivals like HubSpot and Zoho.

Every one of Pipedrive's four plans is now labelled 'Now with AI', including the entry $14/seat/mo Lite plan, which bundles AI-powered report creation at the lowest tier.

Add-ons like LeadBooster and Campaigns are billed per company, not per seat — so a 20-person team and a 2-person team pay the same add-on price.

Pipedrive shipped its first GenAI feature (an AI Sales Assistant) in October 2023 and a full 'Pipedrive AI' suite in April 2024 — but only repackaged its tiers around AI in mid-2025, collapsing five plans into four.

The July 2025 restructure merged two former tiers — Professional and Power — into a single 'Most Popular' Premium plan, and renamed Enterprise to Ultimate, shrinking the decision from five plans to four.

Pixee abandoned a fully public, self-serve price list. Wayback snapshots show a Pro plan that fell from $39 to a $29 'per GitHub Contributor' rate across 2024–2025 before the whole page went quote-only in early 2026.

Its open-source roots are still free: the Codemodder framework (codemodder-java, codemodder-python) ships under AGPL-3.0 on GitHub, and the historical Pixeebot gave unlimited fixes on public repos for $0.

Pixee raised a $15M seed on 2025-05-22 co-led by Decibel and Wing VC, with angels including early GitHub engineer Zach Holman and HackerOne CTO Alex Rice.

It is one of the few security vendors to bill on a resolved vulnerability rather than a seat — the pricing page literally answers 'What is a resolution?' in its FAQ instead of listing a price.

The founders, Arshan Dabirsiaghi and Surag Patel, came out of Contrast Security; Pixee was founded in 2022 and is based in Palo Alto.

Playground's Free tier dropped commercial use between the 2026-01 and 2026-06 /design/pricing snapshots: every snapshot from 2024-09 through 2026-01 told free users they could 'use images commercially,' but the current surface marks Free 'Non-commercial use — no royalty-free license.'

All paid plans draw from one shared monthly credit pool spanning Nano Banana, GPT Image 2 and Seedream — and Nano Banana Pro costs 4 credits per generation versus 1 for every other model, so a Pro Plus user gets 1,000 standard images but only 250 premium ones from the same pool.

Playground ran three different metering models in under two years: per-day image caps on the legacy /pricing surface (10/day free, 200/day Pro), then a rolling-3-hour image window with separate 'GPT-4o edits' counters, then a unified monthly credit pool — all without ever changing the $15 Pro headline price.

Founder Suhail Doshi co-founded Mixpanel at 20 and shut down his prior startup Mighty (a $30/mo cloud browser) in late 2022 to redirect resources into Playground; the company raised a $40M round in 2023 backed by Y Combinator's Garry Tan to 'advance the field of computer graphics.'

Playground briefly sold a Team tier ($30/mo, $25 annual, 2 seats, SSO + org brand kit) from roughly mid-2025 through late 2025, then dropped it in favour of the consumer-only Free / Pro / Pro Plus ladder visible from 2025-12 onward.

PlayHT was a Y Combinator W23 company founded around 2020–2021 by Hammad Syed and Mahmoud Felfel, building generative voice (TTS), instant voice cloning, and a voice-agent platform from Palo Alto.

It raised $21M in seed/pre-seed funding announced November 2024 (led by Kindred Ventures and 500 Global, with Race Capital, Y Combinator, Soma Capital, Pioneer Fund and TRAC), alongside the PlayDialog conversational model.

Meta acquired Play AI in July 2025; the entire team joined Meta and the standalone product was wound down — its play.ht and play.ai domains no longer resolve.

Paid plans metered characters rather than minutes: Creator gave ~3 million characters per year, with overage at $4 per additional 10,000 characters.

Poe is built and owned by Quora — the same Q&A company — and Quora raised $75M from a16z largely to fund Poe's growth.

One $19.99/mo Poe subscription can talk to GPT-5.x, Claude Opus, Gemini, Grok, and image/video models, so you don't pay (or manage) five separate AI subscriptions.

Poe pays bot creators in real dollars: a per-message price plus up to $20 per new subscriber, with the company reporting a 'tens of millions of dollars' annual creator-payout run rate.

Free users get ~3,000 compute points/day — roughly 150 short messages — but a single high-end video generation can consume a paid user's points faster than thousands of cheap text messages.

Poe's reported revenue contribution roughly doubled from ~$30M in 2024 to ~$65M in 2026.

PolyAI spun out of the University of Cambridge; co-founder and CEO Nikola Mrksic previously worked on Apple's Siri, and the company builds its own proprietary voice models rather than wrapping third-party LLMs.

It raised an $86M Series D in December 2025 at a $750M valuation, bringing total funding past $200M; backers include Hedosophia, Khosla Ventures, Georgian, and NVIDIA's NVentures.

PolyAI's pricing page asks one telling qualifying question before anything else — your annual call volume, with ranges that top out at 'more than 1,000,000' calls per year.

Reported revenue grew from $8.9M (FY ending Jan 2024) to ~$15M (FY ending Jan 2025), with projected ARR of $40M+ across 100+ enterprise customers and 2,000+ live deployments in 45+ languages.

Poolside trains its OWN frontier code models (Malibu for heavy multi-file work, Point for sub-200ms IDE completion) rather than reselling someone else's API — pricing reflects a model lab, not a wrapper.

It was co-founded in 2023 by Jason Warner, the former CTO of GitHub — so the company most directly challenging GitHub Copilot is led by GitHub's old CTO.

NVIDIA is both an investor and the supplier: Poolside's Project Horizon campus in West Texas (with CoreWeave) is slated for 40,000+ NVIDIA GB300 GPUs, and NVIDIA reportedly committed up to $1B in the 2025 round.

Poolside deliberately excludes GPL/AGPL code from training for 'license-safe' models — a compliance feature aimed squarely at banks and defense customers.

There is no public price anywhere: the /pricing URL returns a 404 'page not found', because every deal is quoted by sales.

Portkey's headline paid price is $49/month today — the exact sticker it launched with in 2023 — but the included allotment fell from 1M requests to 100K logs and overage rose from $2 to $9 per 100K along the way.

The open-source Portkey AI Gateway is MIT-licensed with roughly 12,000 GitHub stars and routes to 1,600+ language, vision, audio, and image models across 45+ providers.

At its February 2026 Series A ($15M, led by Elevation Capital), Portkey said it was processing 500B+ tokens and 120M requests daily and managing $500K+ of AI spend per day across 24,000+ organizations.

Palo Alto Networks announced its acquisition of Portkey on April 30, 2026 and closed it on May 29, 2026 — barely three months after the Series A — to make the gateway the AI-agent control plane of its Prisma AIRS security platform.

Powerdrill runs two separately-priced products on different domains: the credit-based Bloom app at powerdrill.ai/pricing and the feature-quota Chat app at chat.powerdrill.ai/pricing — with different plan names and price points for each.

The Bloom app meters everything in monthly credits (Pro 5,000 / Plus 11,000 / Premium 60,000), and credits from one-time Credit Packages stack on top of plan credits and stay valid for 12 months.

Powerdrill claims 1.5 million+ users and bundles 'Claude Skills' and 'Nano Banana Pro' image/infographic generation directly into its credit-based data-analysis plans.

Until December 2025 the main powerdrill.ai/pricing page was the cheaper feature-quota app (Free / $3.90 / $9.90 / $29.90); the credit-based Bloom app took over that URL in 2026 and the legacy app was moved to the chat.powerdrill.ai subdomain — so the brand 'moved upmarket' without raising prices on its existing low-cost tiers.

Powerdrill's pricing started in early 2024 as a two-tier, GPT-3.5-metered 'messages per month' plan (Free and Plus $9.90) before being rebuilt twice — into a four-tier GPT-4o ladder, then into a feature-quota model — and finally split into two separately-priced products.

Predibase grew out of the open-source Ludwig (declarative deep learning) and Horovod projects — its founders include Horovod creator Travis Addair and Ludwig creator Piero Molino.

Its LoRAX serving stack packs many fine-tuned LoRA adapters onto a single GPU, so the per-second serving meter can amortize one GPU across dozens of customized models instead of one deployment per model.

Reinforcement Fine-Tuning is its most expensive meter at $20.00 per 1M tokens (16.1–32B) — roughly 40x the $0.50 base SFT LoRA rate — pricing the compute intensity of RL-based tuning directly into the token meter.

Rubrik, a data-security and backup company, bought Predibase in June 2025 (reported $100M–$500M) to bolt fine-tuning and serving onto its agentic-AI roadmap — an unusual security-meets-MLOps pairing.

PromptLayer meters overage in a single unit it calls a transaction (txn) — requests, agent-node runs, and eval-cell runs all draw from the same per-txn meter.

The per-txn overage rate actually drops as you move up: Pro pays $0.003/txn, Team pays $0.002/txn — volume discounting baked into the tier, not negotiated.

PromptLayer's legal entity is Magniv, Inc.; archived pricing pages carried a 'Copyright 2025 Magniv, Inc.' footer into 2026 before rebranding to a plain 'PromptLayer ©' line.

The whole pricing page is server-rendered as a JavaScript app — the Wayback Machine never archived promptlayer.com/pricing until December 2025, even though the company shipped its open-source prompt-logging library back in 2022.

PromptLayer raised a $4.8M seed in February 2025 whose angel list reads like an AI who's-who: OpenAI's Romain Huet, Google AI Studio's Logan Kilpatrick, and DoNotPay's Joshua Browder all wrote checks.

Puzzle's free tier has migrated its trigger three times: a flat free-while-in-beta plan in 2023, a $15k monthly-expense cap in 2024, an annual-expenses-under-$25k gate in early 2025, and a $20k transaction-volume threshold by 2026.

Founder Sasha Orloff previously co-founded and led consumer-lending startup LendUp; Puzzle is his second venture, building an AI-native general ledger pitched as a QuickBooks replacement.

Puzzle raised $30M in November 2023 (led by S32 and XYZ Capital), bringing total funding to roughly $50M, before any AI-credit pricing existed on the page.

In 2024 Puzzle briefly metered accrual automation at $0.25 per automation — an explicit per-action usage fee that has since been folded into the AI-credit pool model.

Puzzle includes unlimited users on its Complete and Scale tiers, a direct jab at QuickBooks Online's per-seat add-on charges.

Qdrant's engine is written entirely in Rust with SIMD and a custom storage layer (Gridstore) — the performance story doubles as the cost story, since a tighter index needs less billable RAM.

Qdrant Cloud charges $0 for queries. You pay for the cluster you run, not the searches you make — the opposite of Pinecone Serverless's per-read/write model.

Marketplace billing converts at exactly $0.01 per Resource Usage Unit: an $85 Qdrant Cloud month shows up as 8,500 units on your AWS/GCP/Azure bill.

The free tier is genuinely permanent — 1GB RAM, no credit card, no expiry — which Qdrant pitches as a contrast to time-boxed 'free trials' that throttle you into upgrading.

Founded in Berlin in 2021; raised a $28M Series A (2024) and a $50M Series B (2026), ~$78M+ total, while keeping the core Apache-2.0 open source.

Qodo was called CodiumAI until 30 September 2024, when it rebranded alongside a $40M Series A — the new name avoided constant confusion with VSCodium, the open-source VS Code fork.

Qodo's Teams seat price has whipsawed since the rebrand: $19/user/mo (Sep 2024) → $15 (early 2025) → $30 (mid 2025) — it doubled the same quarter it introduced credit metering.

Until mid-2025 Qodo advertised 'no restrictions on the number of calls/tokens or repositories'; it now meters every LLM request as a credit, with Claude Opus costing 5 credits and Grok 4 costing 4 credits per request.

Qodo's open-source roots run deep: its AlphaCodium paper (Jan 2024) beat Google DeepMind's AlphaCode on CodeContests, and Qodo Merge began life as the open-source PR-Agent.

Qodo's mid-2026 repackaging dropped per-seat pricing AND the permanent free tier in one move — replacing a $30/user/month Teams plan with a single pooled-credit balance at $.012/credit and a 14-day trial.

Rad AI publishes no prices — the /pricing URL 404s and every button on the site is 'Request Demo'; pricing is quoted per radiology practice or health system.

Rad AI Continuity's product page ships an interactive ROI calculator: at $50-$250 net reimbursement per imaging study, lifting follow-up rates can surface millions in additional annual revenue — Rad AI sells the outcome, not a seat price.

Rad AI's follow-up models were trained on more than half a billion radiology reports, and the company says its tools are used by over a third of US health systems and 9 of the 10 largest US radiology practices.

Rad AI raised $60M in a Series C (Jan 2025, led by Transformation Capital) at a ~$525M valuation — ~$143M total raised — after a $50M Series B led by Khosla Ventures in May 2024.

Reclaim.ai launched on Hacker News in July 2020 as an 'adaptive calendar app' and pulled 106 points on its Show HN debut — two years before it charged a cent.

Dropbox acquired Reclaim.ai in August 2024 for a reported $40.2 million, folding its 22-person Portland team into Dropbox's productivity portfolio while keeping the brand and pricing page standalone.

Reclaim's entire 2021 paid pricing page literally said 'Free through 2021' — the company ran an uncapped free beta for over a year before launching tiers in 2022.

When rival Clockwise shut down on March 27, 2026, it recommended customers migrate to Reclaim — which offered a 100% price-match guarantee on the next 12-month term through June 30, 2026.

Reclaim brands its automation as 'AI Agents' and meters them by tier: 5 on free Lite, 10 on Starter, 50 on Business, unlimited on Enterprise.

Recraft's API and Studio use two completely different units: the Studio meters in 'credits' (1-2 per image) while the API meters in 'API units' priced at a flat $1 = 1,000 units.

The same image can cost wildly different amounts by model: a Recraft V2 raster render is $0.022 via API while a V4 Pro Vector render is $0.30 - a ~14x spread inside one product. Recraft even prices its newest V4.1 raster ($0.035) below V4 ($0.04).

Recraft's Free plan keeps the copyright: images generated on the $0 tier are owned by Recraft, public in the community gallery, and carry no commercial rights until you pay.

Studio credits do not roll over month to month, but separately-purchased top-up credits never expire - two opposite expiry policies inside the same wallet.

Recursion's biggest 'price tag' isn't a subscription — it's the Sanofi deal, worth up to $5.2 billion in aggregate milestones across 15 programs on top of a $100M upfront payment. Across all deals the milestone potential exceeds $20 billion before royalties.

Recursion owns one of the largest supercomputers in any industry's hands: BioHive-2, an NVIDIA DGX SuperPOD with 504 H100 GPUs, built after NVIDIA took a $50M stake in 2023 — compute is part of the moat that makes partners pay.

In 2024 Recursion absorbed its closest AI-drug-discovery rival, Exscientia, in a ~$688M all-stock merger — a rare case of one AI-pharma platform buying another, consolidating both partnership books and pipelines under NASDAQ: RXRX.

Regie.ai has changed its core pricing metric three times in four years: per-seat content credits (2022, Pro at $29/mo), then $50,000 per AI-Agent use-case (2024), then back to per-rep packages 'starting at $35K/yr' (2025), and finally published per-user seats ($180/$499) in 2026.

In 2024 Regie.ai explicitly rejected per-user pricing — 'Instead of a per-user basis, we base our pricing on the specific use-case of each Agent' — then reversed course and re-adopted per-seat pricing by 2026.

Regie.ai publishes exact seat prices ($180 and $499/user/mo) but still routes every purchase through 'Talk to sales' on an annual contract.

The Force Multiplier Rep seat bundles 120,000 AI/enrichment credits a year (1,000 accounts / 4,000 contacts) before any Data Package add-on.

The AI Dialer can't be bought on its own — it's only sold packaged with Agents, because its leads are warmed up by the agents.

Snowflake's reported $1 billion-plus bid to acquire Reka collapsed in May 2024 — then Snowflake came back as an investor in Reka's July 2025 round that valued it above $1B.

Reka's models are natively multimodal, so its API meter charges separately for text tokens, images (per image), video (per minute) and audio (per minute) — not just tokens.

Reka Research breaks the token mold entirely: it bills per 1,000 web-research requests ($25 to $60) depending on how much parallel thinking the query uses.

Reka was founded by ex-DeepMind, Google Brain and Meta FAIR researchers including CEO Dani Yogatama and chief scientist Yi Tay.

Enterprises can run Reka's model weights fully on-premise or at the edge for defense, security and media use cases — a sovereignty option closed-weight rivals don't offer.

Relevance AI splits its credit model in two: 'Actions' (a flat charge each time a tool runs) and 'Vendor Credits' (the raw AI-model cost), and it passes Vendor Credits through at wholesale with zero markup.

Vendor Credits roll over indefinitely while you stay subscribed — both the bundled allowance and any top-ups — a rare 'use-it-whenever' stance in usage-based pricing.

You can bring your own LLM API keys on any paid plan to bypass Vendor Credits entirely, so the platform effectively lets you opt out of one of its two metered dimensions.

On 8 September 2025 Relevance AI sunset its Business plan, collapsing the self-serve ladder to Free / Pro / Team and pushing larger buyers to Enterprise.

Relevance AI started life (2023 and earlier) as a 'bring your data to life' analysis and visualization tool — vector search, AI clustering, Tableau-like charts — before pivoting to AI agents and the 'AI Workforce' through 2024.

Its old credit model used to charge LLM cost plus a 20% markup if you didn't supply your own API key; the September 2025 repackaging dropped the markup entirely and made model cost a zero-margin pass-through.

Replicate's per-second public-model billing means a 4-second FLUX Dev image generation on an A100 costs roughly $0.0056 — finer granularity than competitors' per-image flat rates, though the per-image SKU ($0.025 for FLUX Dev) is still published as a simpler alternative.

Replicate was founded in 2019 by Ben Firshman (creator of Docker Compose at Docker) and Andreas Jansson — making it the rare AI infrastructure platform where the founder co-created the single most-used developer tool in containers.

Cog, Replicate's open-source model-packaging framework, predates the company's commercial inference platform by two years — and remains the de-facto standard for packaging ML models with PyTorch and TensorFlow runtimes, similar to how Truss became Baseten's developer wedge.

Replicate hosts over 50,000 public models — by far the largest public-model catalog among managed-inference platforms. The community model directory makes Replicate the canonical entry point for 'is there an open-source model for X' for AI engineers.

Replicate's $1,525/hour H100 dedicated rate ($0.001525/sec × 3,600) is roughly comparable to Modal's $3,949/hour H100 ($0.001097/sec × 3,600) — both substantially undercutting AWS Bedrock and Vertex AI hosted H100 rates while remaining higher than raw AWS on-demand.

Replika's annual plan ($69.99/yr ≈ $5.83/mo) is ~71% cheaper than paying monthly ($19.99) — one of the steepest annual discounts in consumer AI.

A $299.99 lifetime plan breaks even versus the annual plan after roughly 4.3 years — Replika is betting on long emotional retention.

In Feb 2023 Italy's Garante blocked Replika over minor-safety risks; the company removed erotic roleplay, triggering a backlash researchers later catalogued as 'identity discontinuity' across 12,000+ Reddit posts.

Luka, Inc. fielded a €5M GDPR fine in 2025 yet runs lean: ~93 employees, ~$14M ARR, bootstrapped with no outside VC since 2017.

Beyond the subscription, Replika monetizes a separate 'gems' currency ($0.99–$19.99 packs) for cosmetic outfits and traits — a second meter on top of Pro.

Replit replaced its flat $0.25-per-checkpoint Agent fee with effort-based pricing in June 2025 — a request that does more work simply costs more, like a metered taxi instead of a flat fare.

Every paid tier bundles a dollar-denominated credit allotment, not a usage quota: Core includes $25 of credits, Pro includes $100. The number on the plan is partly a prepaid wallet.

Replit Core got cheaper in 2026, dropping from $25 to $20/mo (annual) when the company launched Pro and retired the Teams plan.

Pro credits roll over for one month; Core credits do not — so an idle month on Core is money left on the table.

Reply.io's Email Volume plan is priced by active-contact volume on a slider (from $49/mo at 1,000 contacts up to higher tiers like $159/mo at 10,000), with unlimited users and unlimited mailboxes — a volume meter rather than a seat fee.

The Multichannel plan bundles email, LinkedIn, calls/SMS, WhatsApp and Zapier-any-channel at a flat $89/user/mo (annual), whereas those same LinkedIn ($69/mo) and Calls & SMS ($29/mo) channels are paid per-account add-ons on the cheaper Email Volume plan.

Reply sells three distinct AI SDR motions: a $500/mo 'Hire Jason AI SDR' agent on the self-serve plans, and a separate $500/mo/client 'Agency AI SDR' tier for agencies running it across multiple client workspaces.

Resemble AI was founded in 2019 in Toronto by Zohaib Ahmed (CEO, ex-Magic Leap) and Saqib Muhammad, and graduated from the Betaworks Synthetic Camp accelerator.

It raised an $8M Series A in July 2023 and a $13M round in December 2025 (Google's AI Future Fund, Okta Ventures, KDDI, and others), bringing total funding to about $25M.

Resemble collapsed a five-tier monthly subscription ladder into a single pay-as-you-go 'Flex' plan where loaded credits never expire — a rare 'no expiry' promise in the voice-AI space.

Its DETECT-3B-Omni deepfake-detection model is a 3-billion-parameter multimodal model marketed at 98% accuracy across 40+ languages, reflecting a pivot from pure voice generation toward AI security.

Retell AI is a Y Combinator W24 company that was initially rejected by YC, then accepted after sharpening its demo.

It went from ~$3M annualized revenue at its September 2024 seed to roughly $60M ARR by April 2026 — up about 650% year-over-year — powering 50M+ real-time AI phone calls a month.

Pricing is fully unbundled: a single voice-agent minute is itemized into Retell Voice Infra ($0.055/min), the LLM, TTS, telephony, and add-ons — so buyers see exactly which layer costs what.

Calls are metered to the nearest second with no per-call rounding, but billing keeps running during silence and hold because the speech-to-text engine stays active and listening.

Rev AI quotes its in-house Reverb ASR models per hour ($0.20/hr, Turbo $0.10/hr) but its Whisper-based models per minute ($0.005/min) — two different time units on the same pricing card.

Human transcription is offered through the same API at $1.99 per minute — roughly 600x the per-minute cost of the cheapest Whisper machine model ($0.003/min equivalent).

The free tier is denominated in Reverb ASR time: free credits 'equivalent to 5 hours of Reverb ASR,' redeemable across every Rev AI product.

Audio-intelligence add-ons mix units: Language Translation and Summarization bill per minute, but Sentiment Analysis and Topic Extraction bill per 10 words.

Rev AI's machine-ASR rate fell ~10x from a flat $0.035/min in 2019 to an effective ~$0.0033/min ($0.20/hr) after the October 2024 Reverb launch — while human transcription moved the other way, from $1.50 to $1.99/min.

The October 2024 Reverb relaunch made the headline number bigger ($0.02/min became $0.20/hr) even though the price was cut ~83%, purely because Rev switched the billing unit from minutes to hours.

Rev open-sourced the Reverb ASR + diarization models (arXiv 2410.03930) trained on 200,000+ hours of its own human-transcribed audio, then priced its hosted API at the identical $0.20/hr — with a non-commercial license steering commercial users back to the paid API.

The original Rewind AI rebranded to Limitless and was acquired by Meta in December 2025 — the Pendant stopped selling and the Rewind Mac app was sunset on Dec 19, 2025.

The rewind.ai domain today runs a completely different product: a token-balance aggregator that bills every one of 400+ AI tools and models against a single wallet.

Both subscriptions and one-time packs price Pro at the same $19/mo headline the original Rewind app charged — a coincidence the new owner leans into.

Token packs never expire and carry no subscription, but the recurring plans deliberately offer a better per-token rate to push users onto a monthly commitment.

The top team plan, 'Scale', is $4,999/mo for 1 billion tokens shared across unlimited seats with an SLA — and anything above 1B tokens/mo goes to custom sales.

Robin AI once published prices openly: a Wayback snapshot from August 2024 shows a Free Forever tier, a Pro plan at $100/user/month (up to 5 users, 3 reports/month) and a 'Talk to sales' Enterprise tier — all of which had vanished behind a demo wall by 2026.

Robin's public /pricing page stopped resolving between January and April 2025: the last archived snapshot (16 Jan 2025) still listed the $100 Pro plan, but by 16 April 2025 the URL 301-redirected to the homepage. The live /pricing path returns a 404 as of June 2026.

Robin AI was co-founded in 2019 by Richard Robinson, a former Clifford Chance lawyer, and James Clough, a machine-learning scientist — and its earliest product was a Microsoft Word add-in that claimed to cut contract-review time by roughly 85%.

Despite raising ~$43M (Series A $10.5M, Feb 2023, Plural; Series B $26M, Jan 2024, Temasek), Robin AI entered a distressed sale in late 2025: Scissero bought its ~70-person managed-services arm in December 2025 and Microsoft acqui-hired its engineering team in January 2026.

Roboflow denominates almost every billable action — image storage, AI labeling, GPU training minutes, CPU/GPU inference hours, and even third-party LLM tokens — in a single unified "credit," so 1 credit buys 30 minutes of GPU training or 1,000 hosted-API inferences depending on what you spend it on.

The free Public plan hands every user roughly $60/mo of free credits, but the catch is that all datasets and trained models are published openly on Roboflow Universe — privacy starts at the $79/mo Core tier.

Roboflow's credit menu prices frontier LLMs directly: as of March 2026, 1 credit buys 400,000 Claude Opus 4.6 input tokens or 1,600,000 GPT-5.1 input tokens, exposing each model's relative cost inside the same currency as GPU training.

Roboflow has rebuilt its pricing model three times: it billed a flat $0.01/image in 2020, then pivoted to a Professional subscription "Starting at $999/month" in 2021, before abandoning both for the unified credit it uses today — a rare case of a company changing its core billing unit twice in five years.

Rows launched on Hacker News on 2021-11-10 to 202 points and 75 comments — one of the highest-engagement Show-HN spreadsheet launches that year.

Rows changed its value metric twice: per-workspace flat tiers metered by integration tasks (2020–2023), then per-seat AI tiers metered by AI Tasks (2024–2026).

In its 2022–2023 era, Pro cost a flat $249/month per workspace with unlimited members; by 2026 the comparable Pro was $79/month plus $8 per user — a complete repricing around seats and AI.

Superhuman (the renamed Grammarly) acquired Rows on 2026-02-22; rows.com fully winds down on 2026-05-31 after nine years and 2.2 million users, with the team folding into Coda.

Rows reported users ran 17 billion spreadsheet functions and 800,000 AI Analyst prompts over its lifetime, per its own farewell post.

Rox meters its AI sales agents in 'Agent Actions' — a single usage unit whose cost per task scales with the task's complexity and the AI model used, not a flat per-task fee.

Every Rox plan, including the free Starter tier, gets full feature access; the only thing you buy by upgrading is more Agent Actions, not unlocked features.

Unused Agent Actions never roll over — they expire at each cycle reset — but Core users can 'early-renew' to reset their allotment before month-end.

At its November 2024 beta, Rox's Core plan started at $20/month with per-tier account caps (10 / 100 / unlimited); by 2026 the price was $50/month and the account caps were gone — captured prices verified against Wayback Machine snapshots.

Rox reached a reported ~$1.2B valuation by early 2026 on roughly $8M of projected ARR, backed by a $50M raise from Sequoia, General Catalyst, and GV — its founder previously sold observability startup Pixie to New Relic.

RunPod's $0.69/hour RTX 4090 Secure Cloud rate is among the lowest published GPU rates for a workstation-class card — a deliberate positioning play to capture hobbyist and student workloads that hyperscalers price out of reach.

RunPod was founded in 2022 by Zhen Lu and Pardeep Singh, both ex-cryptocurrency-mining infrastructure operators who pivoted hardware from GPU mining to AI inference as the mining-to-AI transition accelerated through 2022–2023.

RunPod runs two distinct clouds: Secure Cloud (enterprise-grade data centers, redundant infrastructure) and Community Cloud (lower-cost, partner-operated DCs with reduced reliability guarantees) — letting customers pick the price-reliability trade-off explicitly per workload.

RunPod's Serverless billing is per-second with flex worker prices from $0.58/hour to $9.98/hour depending on GPU type — among the most granular Serverless rate ladders, covering small single-card workloads (16GB cards) through frontier Blackwell-Ultra inference (B300 at $9.98/hour, added 2026-07-06).

Storage tier complexity is notable: container disk vs volume disk (running vs idle) vs network storage (standard vs high-performance, with tiered <1TB and >1TB rates) — five distinct storage SKUs that finance teams must aggregate to forecast total storage spend.

Runway prices the same credit currency in two output languages at once: 625 credits is published as both '25s of Gen-4.5 video' and '78 Gen-4 images', so the metered unit means different things per model.

In June 2026 Runway retired the 'Unlimited' plan and replaced it with 'Max' at the same $95/mo — swapping the old unmetered-but-relaxed-rate Explore mode for a 9,500-credit monthly allowance (4.2× the old 2,250) plus 1-month credit roll-over.

Runway's $15 Standard and $35 Pro price points predate 2026: archived pricing from early 2022 shows the same two figures, when the top tier was 'Pro Plus' at $90 rather than today's Max at $95.

Only the Max plan rolls credits over (for one month) — on Standard and Pro the monthly allowance still expires each cycle, so any unused credits are forfeited.

The developer API auto-upgrades through five usage tiers purely on cumulative spend: hit $5,000 purchased and you jump to Tier 5, lifting the monthly spend cap to $100,000 and concurrency to 20.

Rytr's Free plan meters on characters — 10,000 per month — while both paid tiers drop the meter entirely and advertise 'unlimited' generations.

The $9 tier used to be a character-metered 'Saver' plan (~50,000 chars/mo in 2023); it was rebranded to the unmetered 'Unlimited' by 2024 — the meter became a name.

Rytr went to market in 2021 with an AppSumo lifetime deal reported at $39 one-time, a bootstrapped two-person team selling lifetime access before its subscription tiers existed.

Copysmith acquired Rytr and Frase on the same day — 6 October 2022 — and folded them into a 'Copyrytr' collective; Rytr kept its own brand and pricing.

In December 2024 the FTC ordered Rytr to stop selling an AI review-and-testimonial generator; one year later, in December 2025, the FTC reopened and set the order aside citing the federal AI Action Plan.

Salesloft publishes NO per-seat prices: the pricing page shows only two named packages (Advanced and Elite) as a feature-comparison table, with every tier gated behind Request a Demo or Talk to Sales.

The live 2026 pricing page collapsed the older three-tier lineup (reported by third parties as Essentials/Advanced/Premier) down to just two published packages — Advanced and Elite.

Salesloft folds its AI directly into the workflow: Rhythm (AI signal-to-action prioritization) and Conversations (Conversation Intelligence) are capabilities inside both packages rather than separately-priced add-ons on the public page.

Salesloft and Drift are sibling companies, not a classic acquisition: Vista Equity Partners holds a majority stake in both, and the February 2024 'merger' folded Drift's conversational marketing into Salesloft under one owner (reported by Kirkland & Ellis, 2024-02).

Vista Equity Partners took a majority stake in Salesloft at a reported $2.3 billion valuation, announced 2021-12-23 (Reuters) — one of the larger sales-tech buyouts of that cycle.

Salesloft's outbound dialer is a paid add-on on top of the seat license — third parties report roughly $200–$300 per user per year, plus $5,000–$15,000 one-time implementation for enterprise onboarding (Amplemarket / Vendr, 2026).

SambaNova was founded in 2017 by Stanford professors Kunle Olukotun and Christopher Ré with ex-Oracle exec Rodrigo Liang; its 2021 Series D ($676M, SoftBank-led) valued it above 5B.

Its pricing pitch isn't the cheapest token — it's the fastest. SambaNova runs open models on its own RDU silicon and routinely claims record tokens-per-second for Llama, DeepSeek, gpt-oss and Gemma.

The public rate card lives on cloud.sambanova.ai, not sambanova.ai/pricing — the marketing domain's /pricing path 404s, because the hardware business has no public price at all.

The Free tier hands you $5 of credits with no credit card, but they evaporate in 30 days — a deliberate nudge from free trial to pay-as-you-go Developer.

Workday bought Sana for ~$1.1 billion in 2025 — roughly 2.2x the $500M valuation it carried at its Series C just a year earlier.

Sana runs two pricing worlds at once: a transparent, self-serve $30/user/mo rate card for Sana Agents and a quote-only, 300-seat-minimum LMS in Sana Learn.

The Sana Agents free plan caps you at 10 meetings a month and 5 workspace members — generous on documents (1,000/integration) but tight on people.

Sana counts Merck, Electrolux, Hinge Health and Svea Solar among customers and crossed 1M+ users before the Workday deal.

Sanctuary AI publishes no price for anything: sanctuary.ai/pricing is a literal 404, and the site's most prominent button is a recruiting CTA ('Explore career opportunities') rather than a 'buy' or 'contact sales' path — unusually, talent acquisition outranks customer acquisition on the homepage.

Sanctuary's strategic investors double as its customers and channel: Magna invested in 2021 and now hosts a multi-unit Phoenix deployment in real automotive sub-assembly; Accenture routes Sanctuary into its Global 2000 clients via Project Spotlight; Microsoft collaborates on AI R&D.

Phoenix is teleoperation-first: human 'pilots' remotely operate the robots to harvest high-fidelity behavioural and tactile data, which trains the Carbon control system toward autonomy — so the thing being deployed is closer to remotely-operated labour than to a finished autonomous product.

CEO Geordie Rose has a serial deep-tech pedigree — he co-founded quantum-computing pioneer D-Wave and robotics company Kindred before Sanctuary — and the company has pulled over $140M in funding, including a $30M grant from Canada's Strategic Innovation Fund.

Despite eight hardware generations of Phoenix and over $140M raised, the only numbers attached to a Phoenix unit are third-party estimates (around USD 65k 'from'; USD 100k–250k ranges) on aggregator sites — Sanctuary itself has never published a unit price or robot-as-a-service rate.

Sarvam's price sheet is denominated entirely in Indian rupees (₹) with no USD card — a deliberately geo-native price for the India market, where Sarvam-30B input runs ₹2.5 per 1M tokens (~$0.03).

Sarvam was selected under India's IndiaAI Mission to build the country's sovereign foundation model, backed by a reported ~₹99 crore (~$11M) GPU subsidy and 4,096 Nvidia H100 GPUs via Yotta — a government-anchored sovereign-AI story.

Its first hosted model, Sarvam-M (May 2025), was a 24B fine-tune built on top of Mistral Small — drawing 'foreign model in a desi kurta' criticism — before the February 2026 Sarvam-30B/105B models were trained from scratch in Bengaluru.

Credits never expire and roll over indefinitely; the Business plan stacks a ₹7,500 bonus on a ₹50,000 prepay (₹57,500 total) plus a 1,000 requests/minute limit and a dedicated Slack engineer.

Founded August 2023 by Vivek Raghavan and Pratyush Kumar (legal entity Axonwise Private Limited), Sarvam reached an estimated ~$1.2B valuation on a ~$200M Series B led by Peak XV and Lightspeed.

In June 2025 Meta paid about 14.3 billion dollars for a roughly 49% non-voting stake in Scale (valuing it at 29B) and hired 28-year-old founder-CEO Alexandr Wang to lead its superintelligence team — without taking a board vote.

The deal backfired commercially: rival labs including Google (which had reportedly spent about 150M with Scale in 2024) and OpenAI pulled back, wary of feeding training-data signals to a now Meta-aligned vendor.

Scale's economics are a labor-arbitrage business — it marks up the work of 240,000+ contractors on its Outlier and Remotasks platforms for a reported 50%+ gross margin, which is why the rate card is private.

Despite being a 'data' company, Scale's fastest-growing line is applications (the GenAI Platform and public-sector Donovan), reportedly 200-300M in revenue — a quietly different pricing motion from raw annotation.

Scalenut's annual plans run a permanent-feeling '60% off + double your limits' promotion — annual Starter shows $24/mo against a struck-through $59/mo monthly rate, and content allotments literally double (e.g. 5→10 GEO articles/mo).

The platform meters by content output, not seats: GEO articles, optimizations, keyword clusters, and content-audit web pages are each capped per tier, while the Professional tier gives unlimited workspaces AND unlimited team members.

Only the top self-serve tier (Professional, $80–$199/mo) unlocks Perplexity tracking; Starter and Plus track AI visibility on ChatGPT and Google AI Overviews only.

Backlinks are sold pay-as-you-use through an in-app marketplace with no published unit price — buyers add vetted publisher listings to a cart and pay per link at checkout, priced by each site's DA/DR/traffic/turnaround.

Scalenut launched in 2021 as a managed content + design marketplace ('services, software & Talent') with human senior editors at $299–$549/mo, then pivoted to self-serve AI SaaS in late 2021 — its current GEO platform is its fourth distinct packaging in five years.

The value metric has been re-cut four times: document/word credits (2021) → AI Words + SEO Reports (2022) → SEO Articles + keyword clusters + audit pages (2023) → tracked AI-visibility prompts (2025-2026).

A discount banner has run continuously since 2022, escalating from '60% off' to '50%', '55%', '70% Black Friday lifetime', and back to '60% off + double your limits' — the struck-through monthly rate is effectively the list price buyers rarely pay.

Schematic charges by 'monetized subscriptions' — the customers you actually bill — not by seats. Seats are unlimited on every plan, so your own team size never affects the price; only how many of your end-customers you monetize through Schematic does.

The free tier has a hard conversion cliff baked into the meter: once you cross 25 monetized subscriptions, your customers literally cannot check out to a paid plan anymore — the product gates its own buyer at the exact point you start making real money, forcing the upgrade.

Schematic eats its own dog food — it's a tool for enforcing entitlements and pricing tiers, and its own Free/Growth/Enterprise tiers (with feature gates, overrides, and add-on bundles) are themselves built and enforced on the same primitives it sells.

ScraperAPI prices on a credit multiplier, not flat requests: a plain page costs 1 credit, but JS rendering or premium proxies cost 10, and ultra-premium + render costs 75 credits per request — so a 100,000-credit Hobby plan can be anywhere from 1,333 to 100,000 actual scrapes.

Hard-target domains carry fixed multipliers regardless of plan: Amazon is 5 credits, any Google/Bing SERP is 25 credits, and LinkedIn is 30 credits per request.

Only the four largest plans (Scaling and up) get pay-as-you-go overage; on Hobby, Startup, and Business, running out of credits forces an upgrade rather than metered overage.

ScraperAPI began life as a bootstrapped solo project: founder Daniel Ni (Yale '12, ex-Wall Street developer and author of the TLDR newsletter) grew it to roughly $3M revenue and 10,000 customers with about 7 employees before selling it to SaaS.group in August 2020.

ScraperAPI's whole pricing model changed in mid-2022: Hobby went from $29 for 250,000 'API calls' to $49 for 100,000 'API credits', and the per-request credit multiplier was introduced — the same headline tiers held those exact prices for years afterward.

ScraperAPI acquired Traject Data (Rainforest API, SerpWow — ten SERP and e-commerce data APIs) on 2026-04-30, folding structured SERP and marketplace data into the same credit economy.

Sequence prices itself by your revenue band, not by the usage it meters: a flat $799/mo for startups under 1M ARR, then a bespoke monthly platform fee that scales with your projected billed revenue — a billing company that does NOT bill itself on consumption.

Its growth story is a competitive jab: case studies lead with customers migrating off Stripe Billing — Arch reportedly captured an extra $200k in revenue and cut 0.7% of COGS in Stripe fees, and Obvious consolidated four tools into one and cut revenue slippage by 6%.

Revenue recognition (ASC 606 / IFRS 15) and the CPQ quote builder are paid add-ons, not core features — so a finance team that buys Sequence for billing pays more to make it a full quote-to-revenue system.

SerpApi only bills for fully successful searches — requests that are blocked, error out, or return a CAPTCHA cost nothing, a meter most SERP-scraping rivals don't offer.

Standard plans carry no per-search overage line at all: run out of searches and the plan auto early-renews (re-billing the full price and refreshing the bucket) instead of charging per extra call.

SerpApi bundles a 'U.S. Legal Shield' — assuming legal responsibility for scraping and parsing with up to $2M of coverage — across all current plans, framed on Fair Use and First Amendment grounds.

The public price ladder runs all the way to 'Cloud 54M' at $106,050/month for 54 million searches — one of the most transparent high-volume API price tables on the web.

Google sued SerpApi on 2025-12-19 over scraping Search results; the lawsuit drew a 66-point Hacker News thread and SerpApi filed a motion to dismiss in February 2026.

Shield AI's V-BAT was combat-validated in Ukraine, where the company says it flew 130+ sorties and helped identify 200+ Russian targets while operating through GPS- and communications-jamming — the kind of contested-environment proof point that sells in defense far better than a price.

Despite a $12.7B valuation and a product line spanning autonomy software, an ISR/strike drone and an AI-piloted combat jet, Shield AI publishes no price for any of it: shield.ai/pricing is a literal 404 and the only button is 'Contact Sales'.

The clearest public number on how Shield AI charges isn't a price at all — it's a $198,106,876 U.S. Coast Guard IDIQ contract that buys V-BAT ISR as a Contractor-Owned-Contractor-Operated service, not as aircraft on a SKU list.

Shield AI roughly doubled its valuation in a year — from $5.3B (March 2025) to $12.7B (March 2026) — and used its 2026 round partly to acquire Aechelon, a simulation company whose tech underpins the Pentagon's Joint Simulation Environment.

Co-founded in 2015 by former Navy SEAL Brandon Tseng (with his brother Ryan and Andrew Reiter), Shield AI frames its mission as protecting service members with intelligent systems — a posture that anchors selling on capability and trust rather than a published rate.

Shortwave was built by ex-Google/Firebase engineers — co-founders Andrew Lee, Jacob Wenger, and Jonny Dimond — and is widely described as the spiritual successor to Google Inbox, which Google killed in 2019.

The $9 Standard plan that Shortwave launched with in 2022 had nothing to do with AI: per the founders' TechCrunch interview, it was a 'Slack-like' model where you paid only to unlock more than 90 days of email history.

Shortwave's 2022 'Show HN: Shortwave: Enjoy Your Inbox' launch thread hit 224 points and 123 comments — one of the strongest HN debuts for an email client in recent years.

Between 2024 and mid-2026 the entry paid price climbed from a $7 'Personal' tier to an $18 'Pro' floor, and the lineup grew a $120 'Max' tier — a ~6.7x spread from cheapest to most expensive paid seat.

Shortwave converts AI cost into a fixed daily 'AI usage quota' (More / 2x / 6x) that you raise only by upgrading tiers — there is no per-token overage bill anywhere in the product.

Sierra's co-founder Bret Taylor — former Salesforce co-CEO and chair of the OpenAI board — has become the public face of outcome-based pricing, arguing it is 'the future of software business models.'

Sierra's tagline for its commercial model is literally 'Pay for a job well done' — you only pay when the AI delivers a resolved outcome.

Sierra crossed 100M USD ARR roughly seven quarters after launch and reached a 10B USD valuation — a ~100x revenue multiple riding the outcome-pricing story.

Skydio is the largest US drone manufacturer, yet it publishes no price for any of it — skydio.com/pricing is a literal 404 and every X10, X10D and Dock bundle is quoted via 'Request a demo' or bought through government schedules.

Over half of Skydio's business is defense/military: it serves every branch of the US DoD and around 25 allied militaries, and the X10D variant sits on the DoD's Blue UAS cleared list.

When China sanctioned its sole battery supplier in October 2024 for selling drones to Taiwan, Skydio rationed batteries to one per drone and compensated customers by extending software and warranties — not by changing a published price, because it has none.

Skydio walked away from consumers entirely in August 2023, discontinuing its Skydio 2 line; a legacy '$1,499 per drone per year' enterprise-features fee from that era is the closest thing to a public Skydio price that ever existed.

In April 2026 Skydio announced a $3.5B, five-year US manufacturing expansion ('SkyForge'), arriving months after the FCC's December 2025 ban on foreign-made drones effectively removed DJI from the US market.

Smartlead's two top tiers (Smart at $174/mo and Prime at $379/mo) include UNLIMITED contact storage — a deliberate inversion of the per-contact pricing that competitors like lemlist and Saleshandy charge on.

Smartlead's July 2026 price reset raised every tier at once (Base $32→$39, Pro $78→$94, Smart $144→$174, Prime $315→$379) while simultaneously slashing Prime's headline email-send cap from 5,694,000 to 500,000 per month and its free verified-email allotment from 2,040,000 to 170,000 — buyers paid more for a tighter top-tier envelope.

Smartlead is run by 521 Products Pty Ltd out of Sunny Sydney, Australia, and bills entirely in USD with a flat 17% annual discount applied at checkout rather than shown as a separate annual price.

Agencies bolt white-label client workspaces onto Smartlead at $29 per client per month and dedicated SmartServers at $39 per server — the platform is explicitly engineered as resold infrastructure.

Smartlead is bootstrapped to a reported $20M+ ARR with roughly 135 employees — founder Vaibhav Namburi started it in 2021 after 11 failed products, and took zero venture funding, which is why its pricing optimises for self-serve add-ons over investor-pleasing per-unit metering.

Smartlead's Pro tier carried a $94/month headline from at least 2022 through 2024, briefly dipped to $78 in mid-2026, then reverted to exactly $94 in July 2026 — the names and meters (Basic/Popular/Pro → Base/Pro/Smart/Prime; active leads → unlimited contacts) churned far more than the prices did.

Snorkel started as a research project in the Stanford AI Lab in 2015 and spun out as a company in 2019, backed by 60+ peer-reviewed publications on weak supervision and programmatic labeling.

The open-source Snorkel library is free on GitHub, but the commercial Snorkel Flow platform is enterprise sales-only with no public price — the classic open-core split.

Snorkel reports roughly $148M ARR in 2025, up from $36.8M in 2024 — a jump driven largely by Expert Data-as-a-Service contracts with frontier AI labs.

Contrary Research cites a biotech customer reportedly saving $10 million on unstructured data extraction, underpinning Snorkel's 'seven-to-eight figure ROI' enterprise sales pitch.

As of 2026, Cortex AI no longer inherits your edition's credit price — AI features bill in a separate 'AI Credit' that costs the same $2.00 on a Business Critical account as on Standard. The compute warehouse underneath still varies by edition, so only half the bill is edition-priced now.

The one lever that moves the AI Credit price is data-residency routing, not tier: let requests route globally and you pay $2.00; pin them to a home region and you pay $2.20 per AI Credit.

Capacity (pre-paid) discounts explicitly do NOT apply to AI Credits — the only automatic discount on the AI meter is tied to your annual contract value (ACV).

Every Cortex AI Function query is billed in two currencies at once: AI Credits for the model tokens and Platform Credits for the warehouse seconds that ran the SQL — a single careless AI_COMPLETE over a big table has produced reported five-figure surprise bills.

Socket counts a 'developer' as anyone who made a commit to a scanned repo in the past 90 days — not every named seat, so dormant contributors do not inflate the bill.

Socket's Team tier has been a price rollercoaster: $40/dev/mo at launch (2022), cut to $10 then to $8 after the a16z Series A, then climbed $8 → $16 → $25 across 2025 as the platform expanded.

The Free tier allows unlimited developers and repos but caps usage at 1,000 scans/month and 3 members — a generous on-ramp for individual maintainers.

Every Socket product (Open Source, Threat Intel, Firewall, ExtensionGuard, Basics SAST/Secrets/Container) can be purchased individually, but all products must sit on the same plan tier.

Socket's research blog is a recurring Hacker News front-page fixture — its Shai-Hulud npm-worm writeup hit 1,233 points in 2025, far outdrawing the company's own product threads.

Cody once cost $9/mo: it launched GA in December 2023 with self-serve Free and Pro ($9/mo) tiers and a $19/user/mo Enterprise plan — all of which were discontinued on July 23, 2025.

When Sourcegraph killed Cody Free and Pro, it handed departing users a parting gift of credits on a different product — $10 (Free) or $40 (Pro) to spend on Amp at ampcode.com.

Sourcegraph raised a $125M Series D led by Andreessen Horowitz at a $2.6B valuation in July 2021 — built on code search, years before Cody and the AI-coding wave.

The agentic successor Amp didn't just change domains: in December 2025 it spun out as a separate company, with co-founders Quinn Slack and Beyang Liu leaving to run Amp Inc.

Amp bills at zero markup on raw LLM provider API costs (with a $5 minimum top-up); the Sourcegraph platform it left behind wraps AI in a non-expiring, poolable credit allocation instead.

Speechmatics meters Pro speech-to-text by the second, but quotes prices per hour — billing is rounded to the second based on the per-hour rate.

Enabling 'Model Training' (letting Speechmatics use your anonymized data) earns a 33% usage discount — a data-for-credit trade rather than a cash discount.

The free tier hands every account 3,000 free minutes (50 hours) per month split across real-time (1,200 min) and batch (1,800 min) speech-to-text, plus 1 million free text-to-speech characters.

Spellbook launched what it called the first generative-AI contract-drafting tool in September 2022, running inside Microsoft Word rather than as a standalone web app.

Spellbook is built by Rally (Rally Inc.), a Canadian company headquartered in Saint John and Toronto; the legal AI product carried the spellbook.legal domain before migrating to spellbook.com.

Spellbook's pricing page has shown no public dollar figures in every Wayback snapshot from June 2025 onward — the only public price the company advertises is a '$99 for the first month' CLE-attendee promo on its /99 landing page.

Spellbook raised a $20M USD Series A (about C$27M) in January 2024 led by Inovia Capital with Thomson Reuters Ventures participating, after roughly 10x revenue growth and ~300% customer growth in the prior seven months.

Its public 'trusted by' counter climbed from 3,000+ legal teams in mid-2025 to 4,400+ by mid-2026 — a rare quantified growth signal on an otherwise price-opaque page.

Stability AI was founded in 2020 by Emad Mostaque and raised 101M at a 1 billion valuation in 2022 on the back of the Stable Diffusion open-source release.

Emad Mostaque resigned as CEO in March 2024; Stability AI went through leadership restructuring before stabilizing under new management.

Stable Diffusion (2022) is considered one of the most influential AI model releases of the decade — it democratized image generation and spawned thousands of downstream applications and fine-tunes.

Stability AI's Brand Studio (launched April 2026) integrates 'Curated Model Routing' — an AI layer that selects the best model from Stable Diffusion, Nano Banana, Seedream and others based on the use case.

Stripe Billing doesn't meter what you do — it meters what you bill. The 0.7% is taken on your billing volume, including transactions processed off Stripe, which makes it a revenue-share-style fee that rises with your own customers' subscription and usage revenue rather than with your usage of Stripe's product.

Usage-based (metered) billing comes with 100 million metered events per month included before you contact sales for more — so most SaaS and AI companies can run high-volume token/seat/event metering through Stripe Billing without a separate metering bill.

The 0.7% Billing fee stacks on top of payment processing, so a SaaS company collecting cards in the US effectively pays roughly 2.9% + 30¢ to take the payment AND 0.7% of the billed amount to manage the subscription — the billing layer is cheap relative to processing, which is exactly how Stripe wants the bundle to feel.

SugarCRM rebranded to SugarAI on 2026-04-13 — its first name change since 2004 — and sugarcrm.com/pricing now 301-redirects to sugarai.com/pricing, with the footer reading 'SugarCRM is now SugarAI.'

SugarCRM started life in 2004 as an open-source CRM; it discontinued new open-source Community Edition releases in February 2014, and the fork SuiteCRM became its open-source successor.

The AI now branded 'SugarAI' didn't start as generative — SugarPredict, launched 2021-01-27 as predictive lead scoring, was the seed; the sales-i revenue-intelligence engine (acquired 2024) added the ERP-data layer.

Only one of five product tabs (Sugar Sell) shows a public price; Market, Serve, Enterprise and the sales-i intelligence add-on are all contact-sales.

Every Sugar Sell plan carries a hard 15-user minimum and is billed annually — the effective entry ticket is ~$10,620/year (15 seats x $59 x 12), not $59.

AI (Sugar Intelligence / SugarPredict, plus sales-i) is bundled into the Advanced tier as an asterisked feature, not sold as separate credits or a metered add-on.

Suki's public /pricing URL 404s — there is no published price list. Every path on the site, for both clinicians and healthtech partners, ends at a 'Contact Us' or 'Request Access' form.

Suki does not confirm pricing, but third-party reviewers converge on roughly $299/provider/month for documentation-only and ~$399/provider/month for the full Suki Assistant, with volume discounts at 10+ and 50+ providers.

Suki raised a $70M Series D in October 2024 led by Hedosophia (with Venrock), reaching ~$165M total funding at a reported ~$500M valuation, alongside an expanded MedStar Health partnership.

Suki sells two ways: a first-party per-clinician subscription (Suki Assistant) and a separately-licensed Suki Platform SDK/API that healthtech partners like athenahealth, HealthEdge, Zoom, and WellSky embed into their own apps.

Suno gates commercial-use rights, not just capacity, behind any paid plan — its help center says paid-plan songs let creators collect 100% of royalties with Suno claiming no share.

The Free plan refreshes 50 credits every day rather than monthly, a deliberate retention nudge that brings casual users back daily while reserving monetization rights for subscribers.

Suno raised $250M at a $2.45B valuation in November 2025 (Menlo Ventures, Nvidia's NVentures) the same week it settled Warner Music's copyright lawsuit and acquired Songkick from Warner.

Premier ($30/mo) is the only tier that includes Suno Studio, a generative-AI digital audio workstation launched September 2025 — a feature gate, not a credit gate, separates it from Pro.

Despite model upgrades from v3.5 through v5.5, Suno's headline tier prices ($10 Pro, $30 Premier) have held since at least May 2024 — value rises via model quality, not price.

Superhuman picked its famous $30/mo flat price by surveying users with the Van Westendorp question 'at what price would it be expensive but you'd still buy it' — the median answer was $30, and they rounded up off a '9' on a pricing expert's advice.

Founder Rahul Vohra ran a 450,000+ person invite-only waitlist and built a now-canonical product-market-fit engine around the metric 'how disappointed would you be if you could no longer use Superhuman' — targeting 40%+ 'very disappointed'.

Superhuman is now 'formerly Grammarly': Grammarly acquired Superhuman in July 2025, then in October 2025 renamed the entire company to Superhuman, folding Grammarly, Coda, Mail, and Go into one Suite.

In August 2024 Superhuman quietly cut its flat $30/user/mo to a tiered model — Starter $25 and Business $33 — gating its newest AI (Auto Drafts, Ask AI) behind the higher Business tier rather than metering it as credits.

Superhuman acquired AI-spreadsheet maker Rows (already in this corpus) in February 2026 and is winding the Rows product down by May 31, 2026, folding its tech into Coda.

Surfer started in 2017 as a Chrome extension side project (Keyword Surfer) by Wrocław brothers Lucjan and Michał Suski, and bootstrapped to roughly $15M ARR with no venture funding and under $1M of marketing spend.

Surfer has renamed its tiers at least four times: Hobby/Basic/Pro/Business (2019) → Lite/Essential/Advanced/Max (2023) → Essential/Scale/Enterprise (2024) → Discovery/Standard/Pro/Peace of Mind (2026).

Surfer's value metric has churned almost as often as its names — from per-day/per-month query quotas (2019) to articles-per-year (2022) to Content Editor credits with per-credit overages (2023) to today's 'Documents' plus AI-prompt allotments (2026).

In October 2025 Surfer was acquired by Positive Group, a French/European marketing-software roll-up — and its 2026 pricing page reframes the entire product around winning visibility in AI search, not just Google rankings.

The Enterprise card on the public pricing grid shows a placeholder '$999/mo, Tailored packages' number, but the actual Enterprise plan is fully sales-led and gated behind a 'Talk to Surfer Expert' form.

Sweep started life as an autonomous GitHub issue-to-PR bot (YC Summer 2023) that hit ~7,600 GitHub stars before its founders concluded full autonomy was 'years out' and pivoted to a JetBrains autocomplete assistant.

Founded by ex-Roblox engineers William Zeng (senior MLE) and Kevin Lu (Waterloo CS), Sweep runs a custom inference stack tuned for sub-100ms completions to undercut Cursor-style latency.

Autocomplete is unlimited and free on every paid plan — Sweep only meters the expensive stuff (chat, code generation, advanced completions) against API credits, an unusual split for a coding assistant.

The seat price is a floor, not a ceiling: with automatic credit top-ups enabled, a heavy month can quietly run past the $10/$20/$60 headline.

Students, educators and open-source maintainers can get special pricing by emailing [email protected] with verification.

Synthesia decouples price from seats entirely — paid plans cap editors and guests rather than charging per seat, with the real value metric being generated video minutes.

Editing a video only bills the new seconds you change: a 3-second tweak to a 1-minute clip costs 3 seconds, not 60.

There is no per-minute overage — exceeding your plan caps usage until renewal, so the bill is bounded by design rather than risk of spend spikes.

Synthesia's enterprise page claims adoption by over 90% of the Fortune 100, leaning on SOC 2, GDPR, and ISO 42001 (an AI-management-system standard) as trust signals.

Annual billing front-loads a much larger credit pool (Starter jumps from 1,200 credits/mo to 14,500 credits/yr) on top of the headline 34% price cut.

Synthflow flipped its pricing inside out: it killed cheap flat tiers (Starter was $29/mo) and went to no-platform-fee pay-as-you-go, billing the Voice Engine, the LLM, and telephony as three separate per-minute meters.

The company raised a $20M Series A led by Accel in June 2025 (about $30M total funding) and says it powers 65M+ voice calls per month across 30+ countries.

Pricing is composable per minute: GPT-4.1 mini adds $0.02/min while full GPT-4.1 adds $0.05/min, and bringing your own Twilio drops telephony to $0.00/min — so the same agent can cost anywhere from ~$0.11 to ~$0.24/min.

Synthflow was founded in 2023 by brothers Albert and Hakob Astabatsyan with Sassun Mirzakhan-Saky, and reportedly reached ~$1.1M revenue with about a 10-person team in 2025.

Tabnine sells two per-seat platforms — Code Assistant at $39/user/mo and the Agentic Platform at $59/user/mo (annual) — with every tier checked out via 'Get a quote' rather than online self-serve.

LLM token usage is unlimited when you bring your own model on-prem or your own cloud endpoint; only Tabnine-provided LLM access carries a metered charge — the actual provider price plus a 5% handling fee.

Tabnine's Headless Agent add-on is priced by token-processing capacity, not seats: $1,200/mo buys up to 5B tokens/mo and $5,000/mo buys up to 50B tokens/mo for autonomous CI/CD agents.

The Enterprise Context Engine is sold separately and is deliberately agent-agnostic — it plugs into Cursor, GitHub Copilot, and Claude Code, not just Tabnine's own agents.

Tabnine launched on Hacker News in November 2018 to 607 points and 188 comments, then spent years as a $12/user/mo freemium tool before retiring its free tier in 2024 and tripling the entry price to $39 to chase enterprise privacy budgets.

Tabnine has raised roughly $102M across five rounds; its backers span Khosla Ventures (2017 seed), Qualcomm Ventures (2022 Series B), and Atlassian and Telstra Ventures (2023 $25M Series B).

Tavily began as GPT Researcher, an open-source project data scientist Rotem Weiss built in 2023 to give LLMs real-time web data before ChatGPT had internet access — the company productized it into a paid search API.

The single most expensive call on Tavily's price list is a Research request with model=pro, which can burn up to 250 credits (~$2.00 at pay-as-you-go) in one request — over 100× the cost of a basic 1-credit search.

In February 2026 AI-cloud company Nebius agreed to acquire Tavily for a reported $275 million, with the price rising to as much as $400 million if milestones are met — roughly 11× the $25M Tavily had raised across its seed and Series A.

Tavily never charges for failed work: a failed URL extraction costs 0 credits, and Extract/Map only bill per 5 or 10 successful results, so the credit meter tracks delivered data rather than attempts.

The enterprise contact form quietly doubles as attribution analytics — by late 2025 its 'How did you hear about us?' menu listed LangChain, LlamaIndex, AWS Bedrock, Cohere and GPT Researcher, mapping the open-source channels that drove its bottom-up growth.

Tavus's 2023 pricing page sold a flat $275/mo 'Intro' plan for 200 personalized marketing videos — by August 2024 the same domain advertised 'Transparent usage-based pricing' with a $0 Free tier and pay-as-you-go video minutes, a full repackaging from per-video to per-minute.

Tavus ships three of its own foundation models inside one billed minute: Raven (perception), Sparrow (turn-taking), and Phoenix (rendering) — so a single 'conversation minute' meters an entire multimodal pipeline, not one model call.

The cheapest paid developer plan rose from $39/mo to $59/mo between February and March 2025 while the page rebranded from 'usage-based pricing' to 'Pricing built to scale' and added a '$12k annual' Enterprise floor.

Tavus runs the same conversation-minute value metric two opposite ways: uncapped pay-as-you-go for developers (CVI) and flat consumer subscriptions for PALs ($0 / $20 / $50), where minutes are a hard allowance, not an overage.

Tavus raised a $40M Series B in November 2025 (led by CRV) to reposition as 'The Human Computing Company' — total funding ~$64M from Sequoia, Scale, Y Combinator, and HubSpot Ventures since its YC Summer 2021 batch.

Tempus has no price sheet because two of its three revenue lines aren't sold to a buyer who sees a price: genomic tests are billed to payers and Medicare (the xT CDx 648-gene assay carries a $4,500 initial Medicare ADLT rate), and de-identified data is licensed to pharma under custom multi-year contracts that pushed total contract value past $1.1B by end-2025.

Its two engines have very different margins: data & services runs at ~77% gross margin versus ~48% for genomics — so even though per-test sequencing drives volume, the high-margin profit pool is pharma data licensing, including a single $200M AstraZeneca/Pathos deal.

Tempus is rolling up its own data moat: after IPO'ing at $37/share in June 2024, it bought hereditary-testing firm Ambry Genetics for $600M (Feb 2025) and digital-pathology leader Paige AI for $81.25M (Aug 2025) — the Paige deal alone added roughly 7 million digitized pathology slides and the Virchow/PRISM foundation models.

CoCounsel was the first GPT-4-powered legal AI assistant — Casetext had pre-release access to GPT-4 and launched CoCounsel in March 2023, weeks after GPT-4 itself.

Thomson Reuters paid $650 million in cash for Casetext in 2023 — the largest legaltech acquisition on record — then retired the standalone product two years later, in March 2025.

Because CoCounsel pulls citations from the live Westlaw database rather than an LLM's memory, its case cites are real KeyCite-linked authorities — a direct answer to the 'hallucinated citation' sanctions that hit lawyers using raw ChatGPT.

Eligible legal-aid nonprofits can get CoCounsel for a subsidized $50 per seat per month — a fraction of the ~$104–$639/user/mo commercial range.

Don't confuse CoCounsel with Harvey: both are legal GenAI, but Harvey is a separate venture-backed startup, while CoCounsel is Thomson Reuters' in-house flagship built on the Casetext acquisition.

tl;dv's app-level pricing endpoint (gaia.tldv.io/v1/billing/prices) is geo-IP-bound: the same page renders ₹ in India, € in the EU, and $ in the US with no in-page currency selector to override it — the USD figures here were recovered from Wayback Machine renders archived from a US IP.

tl;dv cut its Business plan twice in under two years: $59/seat/mo (annual) in 2024, down to $35 by Q1 2025, then down to $29 by early 2026 — while Pro held flat at $18 the whole time.

The free 'Forever Free' tier gives unlimited recordings and transcription but meters AI features at '10x meetings with AI notes' and '10x Ask AI queries' — and third-party reviewers report the cap behaves as a lifetime allowance, not a monthly reset.

tl;dv was founded in 2020 in Aachen, Germany and raised a single €4.3M seed round in June 2022 (led by K Fund), then scaled to 1M+ teams largely on freemium product-led growth rather than further venture funding.

Business is the only paid seat tier that advertises 'No usage-based AI fees', while Enterprise explicitly re-introduces 'Optional usage-based pricing' — so usage billing appears, disappears, then reappears as you climb the ladder.

Togai is a billing company that publishes zero dollar amounts on its own pricing page — just a free Starter tier and a 'Get Custom Quote' Enterprise plan — even though its product exists to help other companies meter and price on usage.

Togai's own pricing scales on metered event volume and invoice value, not on seats: every plan advertises unlimited users, and the FAQ explicitly says pricing 'is not dependent on the number of users.'

Togai was acquired by NYSE-listed Zuora roughly two years after founding and about ten months after its $3.1M seed round — the pricing page logo now reads 'Togai by Zuora.'

The free Starter tier ships the entire feature set — metering suite, pricing orchestrator, entitlements, multi-currency, credits, discounts, commitments, flat fees, add-ons, invoicing, and dashboards — with no credit card required.

Togai's pricing page references a 'Standard' plan (in the FAQ and the Enterprise 'Everything in Standard +' badge) that has never had a tier card of its own in any archived snapshot since 2023.

Together AI's $3.59/hr H100 reserved rate (7–30 day reservation, dropping to $3.09/hr on a 91–180 day commit) is one of the lowest published rates for any managed Hopper-class GPU — and the $7.99/hr reserved B200 sets a similar floor for Blackwell, both undercutting Fireworks' on-demand rates.

Together was co-founded by Vipul Ved Prakash (ex-Cloudmark, Topsy founder), Ce Zhang (ETH Zurich systems professor), Chris Re (Stanford ML/Snorkel), and Percy Liang (Stanford CRFM director) — making it the rare commercial product where two top academic ML labs are co-architects of the platform.

Together's serverless rate card publishes per-model pricing inline on the pricing page (rare among competitors like Fireworks which route to docs), making per-model side-by-side comparison friction-free.

Code Sandbox ($0.0446/vCPU-hour, $0.0149/GiB-hour) and Code Interpreter ($0.03/session) launched in 2025 as separate metered SKUs for agentic and code-execution workloads — adding non-token billing dimensions to the rate card.

Together raised a $305M Series B in February 2025 led by General Catalyst at a $3.3B valuation, with NVIDIA and Salesforce Ventures participation — making Together the highest-valued specialized-inference cloud at that point.

Tome reached about 20 million users and a roughly 300-million-dollar valuation — yet revenue stayed under about 4 million dollars. The freemium AI deck app went viral but never monetized; most of its millions of users never paid.

Tome's Free tier gave 500 AI credits/person/month — roughly enough for about 5 AI-generated presentations. With one credit per generation, the cap was the upgrade trigger into Pro's 'unlimited AI credits'.

When Tome sunset Slides on 2025-04-30, the founders pivoted the tech into Lightfield (an AI-native CRM) and AngelList bought the Tome brand — one viral consumer app split into a B2B sales startup plus a brand acquisition.

Trigger.dev's monthly base fee isn't a license — it's a prepaid credit balance. The $50 Pro plan is $50 of compute credits, so light workloads effectively pay only the base.

Waiting is free: when a task waits more than 5 seconds (wait.for / wait.until) or a parent awaits a subtask, the process is checkpointed and stops accruing compute — so a multi-day email flow can cost cents.

A worked example on the pricing page: a 10-second task running 100 times a day on the default Small 1x machine costs about $1.09 a month, all-in.

Trigger.dev is open source (Apache 2.0) and fully self-hostable — you can run the exact engine behind the Cloud product and pay nothing in compute fees.

The legal entity is API Hero Ltd.; the company raised a $16M Series A led by Standard Capital with Y Combinator after a $3M seed.

turbopuffer's $1/PB base query rate is the price for scanning a full petabyte of data per query — the result of a February 2026 cut from $5/PB that lowered query costs for the largest namespaces by up to 94%.

turbopuffer has no free tier at all; unlike most vector databases its cheapest entry point is a $16/month usage minimum on the Launch plan (reduced from $64 in June 2026).

turbopuffer reached an estimated $100M annualized run-rate in March 2026 having raised less than $1M in total primary capital, per its CEO — an unusually capital-efficient infrastructure business.

The plan tier you pick (Launch, Scale, Enterprise) changes only your monthly minimum and compliance envelope — Launch and Scale charge identical usage rates; only Enterprise adds a 35% usage premium.

turbopuffer publishes a dated public pricing changelog at /docs/pricing-log, so every historical rate change (e.g. the Sept 2024 copy_from_namespace 50% discount) is recoverable from text.

Twelve Labs prices video indexing by the minute of source video, not by tokens or API calls — a metering unit almost unique in the AI-API corpus.

The pricing page lets you flip every rate between a per-minute and a per-hour display; $0.042/minute is shown as $2.50/hour, the identical underlying price.

The free tier grants a one-time, non-expiring 600 minutes (10 hours) of indexing — deleting videos does not refund the allowance back to your balance.

Until 2025 the page billed indexing per capability — Visual $0.033/min, Text-in-video $0.067/min, Logo $0.10/min — before collapsing all of it into one flat $0.042/min rate.

Segment calls multiply the meter: a 60-second window with 4 segment definitions bills 4 minutes, and omitting a time range bills the full video times the segment count.

Typeface's own website has no working pricing page — typeface.ai/pricing returns a 404, and the only path to a number is 'Get a demo.'

Founder Abhay Parasnis was Chief Technology Officer of Adobe before starting Typeface in 2022 — and Adobe's own Firefly later became a direct rival to his enterprise brand-content pitch.

Typeface's 2023 Series B was unusual: Salesforce, Microsoft and Google all invested in the same company — three platform giants funding one marketing-AI startup to a $1B valuation.

In March 2025 Typeface quietly rebranded its whole product line around 'Arc' (Arc Graph, Arc Agents, Arc Spaces, Arc Forge), shifting the pitch from content generation to agentic marketing orchestration.

Udio's October 2025 settlement with Universal Music Group flipped its core value proposition: songs that were once downloadable and commercially usable became stream-only inside a planned 'walled garden,' and Udio had to open a 48-hour emergency download window (Nov 3–5, 2025) so users could export work made under the old terms.

Udio's Free plan refreshes 10 credits every day on top of a 100-credit monthly ceiling — a dual daily-and-monthly cap that is stingier than rival Suno's 50 daily credits, nudging serious creators to paid tiers faster.

Udio was founded by former Google DeepMind researchers (contributors to Google's Lyria music model) and launched in April 2024 with a $10M seed led by a16z, backed by will.i.am, Common, and UnitedMasters CEO Steve Stoute.

UiPath's Basic tier publishes a 25 USD per month entry point self-serve, while Standard and Enterprise are both Contact Sales — a rare RPA vendor that shows any list price at all.

Users and Robots are licensed separately from the platform tier: Basic User, Plus User, and Pro User seats sit alongside Unattended Robot licenses, all purchasable across every tier.

UiPath is publicly traded on the NYSE under the ticker PATH; it pivoted its messaging from 'RPA' to 'agentic automation' as AI agents joined robots and humans in the orchestration model.

Unbabel's core enterprise translation platform has no public price page — the only buying surface is a sales-contact form, and that gate has held since at least 2021 (Wayback shows a 'Pricing' nav item in 2022–2023 that has since disappeared).

Its self-serve sibling Widn.ai (TowerLLM-powered) publishes prices openly: Free, $19/mo, $90/mo, and Custom — the transparent counterpart to the gated core.

Widn.ai carries a banner that the platform will be decommissioned on 27 August 2026 and replaced by GlobalLink Now (TransPerfect).

Unbabel (Y Combinator W14) raised a $60M Series C in 2019 led by Point72 Ventures, then sold to TransPerfect in August 2025 on undisclosed terms after pivoting hard into proprietary translation LLMs.

At Widn.ai's November 2024 launch, Unbabel CEO Vasco Pedro publicly predicted AI could replace human translators within three years — unusual candor from a company built on human-in-the-loop editing.

Uniphore is an enterprise-AI unicorn valued at about $2.5B — it raised a $400M Series E in 2022 (led by NEA) and a $260M Series F in 2025 with strategic backers including NVIDIA, AMD, Snowflake and Databricks.

Uniphore has grown largely by acquisition: Jacada (contact-center automation), Colabo (knowledge extraction), Red Box (recording), Emotion Research Lab, and in late 2024 ActionIQ (CDP) and Infoworks — pitched as the industry's first 'Zero Data AI Cloud'.

There is no Uniphore price list anywhere on the site — the /pricing URL returns a 404 'page not found', which is itself a signal of a fully sales-led, quote-only motion.

Founded in Chennai, India in 2008 and now headquartered in Palo Alto, Uniphore began in speech/voice analytics and repositioned around agentic enterprise AI.

Unstructured's open-source parsing library has been downloaded more than 6 million times and is used across 12,000+ codebases and 45,000+ organizations — including more than a third of the Fortune 500.

Its 2024 Serverless API launch cut the effective price of parsing 1,000 PDF pages from ~$12.93 (compute-hour billing) to as little as $1 (Fast strategy) — a ~13x drop that traded compute-time exposure for a predictable per-page meter.

The free tier is unusually generous: 15,000 pages every month that reset monthly, with full access to every connector and transform strategy — a recurring allowance, not a time-boxed trial.

Pay-As-You-Go bills stop at $3,000 a month: once you hit the cap, every additional page is free up to 1 million pages a month — an unusual all-you-can-eat ceiling bolted onto a per-page meter.

LangChain co-founder Harrison Chase is quoted on the pricing page saying Unstructured 'solved the most difficult part of building an LLM application: working with data.'

Upstash pioneered per-request serverless Redis pricing in 2021 — billing $0.2 per 100K commands instead of per provisioned instance, so databases scale to zero and cost nothing when idle.

Production guarantees (SLA, multi-zone HA, SOC-2, encryption at rest) are sold as an unbundled $200/mo 'Prod Pack' add-on on any paid plan, rather than gated behind an enterprise tier.

In March 2025 Upstash replaced its old Redis 'Pro' plans — which started at $280/mo — with new Fixed plans starting at $10/mo, a ~28× drop in the entry flat-rate price.

Upstash deprecated its Serverless Kafka product in September 2024 to concentrate on QStash and the durable Workflow engine built on top of it.

Upstash hit $1M ARR within two years of its $1.9M seed, then raised a $10M Series A led by a16z in February 2024 after an unsolicited approach, serving 85,000 developers.

Usage.ai's entire pitch is 'pay nothing until we save you something' — the platform fee, the contract, and the minimum are all $0, and the company only earns a cut of savings it actually delivers.

Its homepage renders your future bill as a literal paycheck: a check made out to 'Your AWS account' for $40,000 of 'Cloud savings (April).'

Usage.ai coined the Insured Commitment Rate (ICR) — a savings metric that adds cashback recovery so it can't go negative, unlike the industry-standard Effective Savings Rate (ESR), which has been recorded at -9% when usage dropped.

The fee shows up as a single line item on your existing AWS/Azure/GCP bill through cloud marketplace — there is literally no new vendor to onboard in procurement.

Founded in 2020 by Kaveh Khorram, Usage.ai claims 300+ teams and $300M+ saved, with customers including Blank Street, FabFitFun, and Secureframe.

v0's Free plan gives $5 of monthly credits but caps you at 7 messages per day — a usage gate on top of the credit balance.

Paid v0 seats get $2 of free credits just for logging in each day, on top of the $30/user monthly allowance.

v0 runs four in-house models — Mini, Pro, Max, and Max Fast — billed at per-1M-token rates from $1/$5 up to $10/$50 in/out.

Unused monthly credits roll over but expire after 65 days; separately purchased shared-pool credits expire one year after purchase.

v0's per-model token rates roughly doubled between January and February 2026 (v0 Pro went from $1.50/$7.50 to $3/$15 per 1M) even though the headline seat prices never moved.

v0 launched on v0.dev in 2023 with fixed monthly message counts; it switched to token-metered credits in May 2025 and rebranded to v0.app in January 2026.

Vantage's pricing gate is your monitored cloud spend, not a percentage of it: the free Starter tier tracks up to $2,500/mo, Pro up to $7,500, and Business up to $20,000 — so the cheaper your cloud bill, the cheaper the FinOps tool that watches it.

Vantage runs two of the most-trafficked free cost tools on the internet — EC2Instances.info and its Cloud Cost Reports — as a top-of-funnel wedge that seeds developers before they ever hit a paid tier.

Vantage now tracks AI spend the same way it tracks cloud: its integration list includes OpenAI, Anthropic and Cursor alongside AWS, Azure, GCP, Snowflake and Datadog, positioning FinOps as the meter for the AI-cost era.

Vapi started in 2023 as 'Superpowered' before pivoting to voice AI infrastructure; CEO Jordan Dearsley positions it as 'the Twilio for AI agents.'

In May 2026 Vapi raised a $50M Series B led by Peak XV Partners at a ~$500M valuation (total funding ~$72M) after enterprise ARR grew roughly 10x, and reported crossing 1 billion calls.

Amazon's Ring reportedly chose Vapi over 40 rival voice-AI platforms, a marquee enterprise win cited around the Series B.

Vapi's headline $0.05/min is only its hosting fee — model and telephony costs are passed through at cost, so real deployments often run roughly 13 to 33 cents per minute depending on the stack.

Vast.ai has no list price for GPUs at all — every $/hr rate is set by the individual host machine and floats with marketplace supply and demand, so the same RTX 4090 can cost $0.14 on one host and $0.35 on another at the same moment.

Interruptible instances are a true second-price auction: you set a bid, and your job runs while you are the highest bidder for that machine — get outbid and your instance is paused, not destroyed.

Vast Serverless carries zero pricing premium — it bills at the exact same per-second rate as renting the underlying GPU directly, with no separate serverless tier or surcharge, recruiting the best price-performance worker from the open marketplace.

Storage keeps billing on stopped instances — Vast charges $/GB/hr for disk for every second an instance exists (any state except offline), so a paused instance with a large disk still accrues cost until you delete it.

There are absolutely no refunds on spent credits; unspent credit-card credits can be refunded via chat, but crypto-purchased credits cannot be refunded at all.

Vectara started life as ZIR AI and was founded by Cloudera co-founder Amr Awadallah with ex-Google engineers Amin Ahmad and Tallat Shafaat; it emerged from stealth as Vectara in October 2022.

Vectara's pricing floor went from $0/month to $100,000/year in roughly three years: an early Growth free tier (15,000 queries/month) gave way to a $100/mo Standard plan in late 2024 and then to $100K/$250K/$500K annual deployment tiers by late 2025.

Its original 2022 free tier sized 50 MB of storage as 'enough to load the entire Harry Potter series 5x' — a consumer-grade framing it abandoned entirely for six-figure enterprise contracts.

Vectara now publishes hard annual-commitment floors — $100K/yr (SaaS), $250K/yr (VPC), $500K/yr (On-prem) — where most enterprise RAG vendors show only a contact-sales blank.

The deployment model, not a feature list, is the primary price axis: the same platform costs 2.5x more in a customer VPC and 5x more fully on-prem.

VEED publishes its credit allowance in two units at once — Creator's 6,000 credits is shown as '~1,200 AI videos', Pro's 30,000 as '~6,000 AI videos' and Studio's 180,000 as '~36,000 AI videos' — but each 'AI video' assumes the cheapest in-house model; a premium model like Google Veo 2 can burn ~25x more credits per second.

AI credits at VEED are an ANNUAL pool, not monthly — and they do not roll over: unused credits expire at the end of the subscription year, an unusual cadence versus the monthly-reset credit pools common to other generative-media tools.

VEED does not sell standalone top-up credit packs — if you exhaust your annual allowance mid-year, the only options are upgrading a tier (Creator → Pro → Studio) or waiting for renewal, which turns the credit ceiling into a forced-upgrade lever.

Vellum is one of the rare full pivots in the corpus: the same YC W23 company went from a $20M-Series-A enterprise LLM development platform (July 2025) to an open-source personal AI assistant (May 2026) on the same domain.

Vellum's credits are pass-through at cost: when you spend $1 of credits on LLM tokens, the full dollar goes to the model provider — Vellum's margin comes from machine tiers, storage, and the $10 platform fee instead.

The 2023 launch page had a $699/mo Pro tier for enterprise LLM teams; today's Pro anchor is $50/mo for individuals configuring a personal assistant.

The open-source assistant (MIT, 25K+ commits) keeps its personality in a SOUL.md file and runs across macOS, Telegram, and Slack with shared memory.

Vercel meters across eight distinct billing dimensions on a single Pro plan — more axes than any other PaaS competitor (Netlify uses 4, Cloudflare Workers uses 3).

Fluid Compute charges $0 for I/O wait time — a category-first 'Active CPU' pricing model that can cut function bills by up to 90% for I/O-heavy workloads.

v0 (Vercel's AI UI generator) is billed separately from the core platform, with Free, Plus, Business, and Enterprise tiers.

The Pro plan's $20 monthly usage credit absorbs overages in a fixed priority order: bandwidth first, then edge requests, then function invocations — useful trivia for budget tuning.

Viz LVO was the first AI software ever to receive a Medicare New Technology Add-on Payment (NTAP) — up to $1,040 per use in suspected-stroke patients — a reimbursement that helps hospitals offset the subscription cost.

Viz.ai publishes no prices: there is no /pricing page and every CTA is 'Request a demo' or 'Speak to an expert'; cost is quoted per facility, scaled by which of its 50+ FDA-cleared algorithms you license and the population you serve.

Viz.ai's stroke module cut time-to-specialist-notification from ~58.7 minutes (standard of care) to ~7.3 minutes — and at large stroke hubs reportedly lifted thrombectomy/surgery volume 50–60%, the downstream-revenue half of its ROI pitch.

Viz.ai became a unicorn with a $100M Series D in April 2022 (Tiger Global, Insight Partners) at a $1.2B valuation, after crossing 1,000 hospitals on the platform.

Voyage AI was founded in 2023 by Stanford CS professor Tengyu Ma with Hong Liu and Kaidi Cao, and raised a $20M Series A led by CRV (with Snowflake and Databricks participating) before MongoDB acquired it for ~$220M in February 2025.

Despite the MongoDB acquisition, Voyage kept its standalone usage-based API live with unchanged public per-token pricing — the deal was structured in three phases, with Phase 1 explicitly preserving voyageai.com, AWS Marketplace, and Azure Marketplace access.

Every Voyage account gets the first 200 million tokens free on current models (50M on the older voyage-*-2 domain models) — a free allowance roughly 100x OpenAI's, and it persists even after a card is added.

Multimodal models bill on two meters at once — $0.12 per 1M text tokens AND $0.60 per 1B pixels — with each image clamped between $0.00003 (50K-pixel floor) and $0.0012 (2M-pixel ceiling), and each video frame billed as an image.

Voyage has no plans or seats at all: throughput is unlocked by cumulative spend, with ≥$100 billed graduating an account to 2x rate limits and ≥$1,000 to 3x — tiers that never downgrade.

Waymo publishes no per-mile rate card at all — the only price a rider ever sees is the dynamic fare estimate the app quotes at the moment of booking, making one of the world's most-watched AI products effectively a gated-price service.

For its first ~16 years Waymo had no subscription of any kind; its very first recurring price point arrived 2026-06-11 with the $29.99/month invite-only Premier membership — which at launch cost three times Uber One or Lyft Pink ($9.99).

In Austin and Atlanta you don't book a Waymo in the Waymo app at all — rides are dispatched through Uber, and Uber sets the fare, so the same robotaxi can be priced by two different companies depending on the city.

Waymo's weekly paid rides roughly doubled in under a year — about 250,000/week in April 2025 to around 500,000/week by March 2026 — with a stated 2026 goal of 1,000,000 paid rides every week.

Alphabet's robotaxi unit was valued at about $126B in its February 2026 round — more than double its ~$45B valuation just over a year earlier — yet it still has never printed a public price for a single ride.

Weaviate's signature pricing metric is the vector dimension stored — not nodes, pods, or RAM. Founder Bob van Luijt argued on Hacker News in 2023 that a vector DB user only needs to know three things to predict cost: the embedding model's dimension size, objects stored per month, and queries per month — so that's exactly what Weaviate bills on.

Between the 2024 GA rate card and the 2026 restructure, the per-1M-dimension price on the entry paid tier fell roughly 95% — from $0.095/1M (Standard, Jan 2024) to $0.00465/1M (Flex, 2026) — a textbook example of vector-storage unit-cost deflation tracking the broader collapse in compute and embedding costs.

The Free tier is a real sandbox, not a trial: 1 cluster, 100,000 objects, 1 collection and up to 3 tenants, plus 2,000 embedding requests/day and 1,000 Query Agent requests/month — enough to build a working demo with no credit card, which is core to Weaviate's open-source-flywheel go-to-market.

Weaviate sells the same BSD-3 engine three ways at once: free self-hosted OSS, transparent self-serve PAYG SaaS (Flex), and negotiated Enterprise/Dedicated/BYOC contracts (HIPAA on AWS) — so a customer can start free on a laptop and end on a dedicated multi-cloud deployment without changing databases.

Weaviate raised a $50M Series B in April 2023 led by Index Ventures — announced in the same week Pinecone raised $100M — kicking off the 'vector database funding war' that an HN thread at the time argued was funding a problem many teams could solve with a Postgres extension.

Weights & Biases is metered on three different value units at once: model storage (GB), W&B Weave data ingestion (GB of logged traces, overage at $0.10/MB), and per-token Serverless Inference — a legacy of stitching together an MLOps tool, an LLM-observability tool, and an inference endpoint under one bill.

CoreWeave bought W&B for a reported ~$1.7 billion, closing May 5, 2025 — roughly 1.4x the company's last private valuation of $1.25B (2023). The GPU cloud bought the developer mind-share that sits one layer above its hardware.

The W&B Pro tier has an unusual eligibility gate: it's only for 'early-stage teams fewer than 50 employees.' Outgrow that and W&B requires you to transition to Enterprise — a built-in self-serve-to-sales tripwire baked into the pricing page.

W&B is free forever for academics with unlimited tracked hours, 200 GB storage, and up to 100 seats — the meter (tracked hours) that costs paying teams real money is simply switched off for research, seeding the next generation of ML practitioners.

The free tier still meters Weave data ingestion at 1 GB/mo — so an LLM app that logs verbose traces can blow through the free GenAI-observability allowance long before it hits the 5 GB model-storage cap.

WellSaid mid-2026 swapped its capacity meter from 'downloads/year' to 'minutes/year' of downloaded audio — Starter 240, Pro 2,160, Business 2,880/user, Enterprise custom — the fifth distinct capacity metric the product has used since 2020.

The June 2026 page introduced two brand-new low-end tiers, Starter $10/mo and Pro $33/mo (annual), replacing the single $50 Creative seat and rebuilding the ladder as Trial / Starter / Pro / Business / Enterprise.

Starter and Pro advertise their annual savings on the card itself — 'Save 47%' on Starter ($120/year) and 'Save 33%' on Pro ($396/year) — while Business ($1,920/year/user) and Enterprise are annual-only with no monthly option.

WellSaid spun out of the Allen Institute for AI (AI2) incubator in 2018 and raised a $10M Series A in July 2021 led by Fuse, with Voyager Capital, Qualcomm Ventures and GoodFriends participating.

Despite realistic-voice praise (4.7 on G2), WellSaid carries a 2.4/5 TrustScore on Trustpilot, driven largely by auto-renewal billing complaints (one reviewer reported a surprise $550 renewal after a cancellation 'didn't go through').

Windsurf's company split three ways in July 2025: OpenAI's reported $3B acquisition collapsed, Google paid ~$2.4B to hire the founders into DeepMind, and Cognition bought the remaining product, brand and ~250-person team — all within days.

Codeium's pricing started as literally 'one plan' in 2023 — free forever — and stayed free for individuals until the Cascade credit system arrived in December 2024.

Windsurf has changed its core metering model three times in ~16 months: flat seats → dual User-Prompt + Flow-Action credits (Dec 2024) → prompt-credits-only (Apr 2025) → daily/weekly quotas (2026).

The 2026 switch from credits to quotas raised Pro from $15 to $20 and removed credit rollover; Reddit users called it a '33% price hike' and documented effective-usage drops of roughly 4x.