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GPT-5 vs Llama 4 Maverick

Detailed pricing comparison and cost analysis.

Updated August 2026

Cost Simulator

GPT-5 Cost
$3.25
Llama 4 Maverick Cost
$0.36
Llama 4 Maverick is 89% cheaper
FeatureGPT-5Llama 4 Maverick
ProviderOpenAIMeta
Input Price (1M)$1.25$0.20
Output Price (1M)$10.00$0.80
Context Window400,0001,000,000

Verdict

GPT-5 costs $1.25 per 1M input tokens and $10.00 per 1M output tokens. Llama 4 Maverick costs $0.20 per 1M input tokens and $0.80 per 1M output tokens. Llama 4 Maverick is 84% cheaper on input tokens than GPT-5. For output tokens, Llama 4 Maverick is the more affordable option at $0.80/1M vs $10.00.

On context window, Llama 4 Maverick supports 1,000,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.

When to choose GPT-5

  • ✓ You are already integrated with OpenAI

When to choose Llama 4 Maverick

  • ✓ You need the lowest input token cost ($ 0.20/1M)
  • ✓ Your workload is output-heavy — Llama 4 Maverick generates text cheaper
  • ✓ You need a larger context window (1,000,000 tokens)
  • ✓ You are already integrated with Meta

Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.

Frequently Asked Questions

Is GPT-5 cheaper than Llama 4 Maverick?

Llama 4 Maverick is cheaper on input tokens at $0.20/1M vs $1.25/1M for GPT-5 — a 84% saving.

What is the context window of GPT-5 vs Llama 4 Maverick?

GPT-5 has a 400,000-token context window. Llama 4 Maverick has a 1,000,000-token context window. Llama 4 Maverick supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: GPT-5 or Llama 4 Maverick?

The best choice depends on your use case. For cost efficiency on input tokens, Llama 4 Maverick is the cheaper option. For maximum context length, Llama 4 Maverick supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.