Kimi K3 (Together) vs gpt-oss-20b (Together)
Detailed pricing comparison and cost analysis.
Updated August 2026
Cost Simulator
| Feature | Kimi K3 (Together) | gpt-oss-20b (Together) |
|---|---|---|
| Provider | Together AI | Together AI |
| Input Price (1M) | $3.00 | $0.05 |
| Output Price (1M) | $15.00 | $0.20 |
| Context Window | 1,000,000 | 128,000 |
Verdict
Kimi K3 (Together) costs $3.00 per 1M input tokens and $15.00 per 1M output tokens. gpt-oss-20b (Together) costs $0.05 per 1M input tokens and $0.20 per 1M output tokens. gpt-oss-20b (Together) is 98% cheaper on input tokens than Kimi K3 (Together). For output tokens, gpt-oss-20b (Together) is the more affordable option at $0.20/1M vs $15.00.
On context window, Kimi K3 (Together) supports 1,000,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose Kimi K3 (Together)
- ✓ You need a larger context window (1,000,000 tokens)
- ✓ You are already integrated with Together AI
When to choose gpt-oss-20b (Together)
- ✓ You need the lowest input token cost ($ 0.05/1M)
- ✓ Your workload is output-heavy — gpt-oss-20b (Together) generates text cheaper
- ✓ You are already integrated with Together AI
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 Kimi K3 (Together) cheaper than gpt-oss-20b (Together)? ▼
gpt-oss-20b (Together) is cheaper on input tokens at $0.05/1M vs $3.00/1M for Kimi K3 (Together) — a 98% saving.
What is the context window of Kimi K3 (Together) vs gpt-oss-20b (Together)? ▼
Kimi K3 (Together) has a 1,000,000-token context window. gpt-oss-20b (Together) has a 128,000-token context window. Kimi K3 (Together) supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: Kimi K3 (Together) or gpt-oss-20b (Together)? ▼
The best choice depends on your use case. For cost efficiency on input tokens, gpt-oss-20b (Together) is the cheaper option. For maximum context length, Kimi K3 (Together) supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.