Kimi K2.6 (Together) vs gpt-oss-120b (Together)
Detailed pricing comparison and cost analysis.
Updated August 2026
Cost Simulator
| Feature | Kimi K2.6 (Together) | gpt-oss-120b (Together) |
|---|---|---|
| Provider | Together AI | Together AI |
| Input Price (1M) | $1.20 | $0.15 |
| Output Price (1M) | $4.50 | $0.60 |
| Context Window | 262,000 | 128,000 |
Verdict
Kimi K2.6 (Together) costs $1.20 per 1M input tokens and $4.50 per 1M output tokens. gpt-oss-120b (Together) costs $0.15 per 1M input tokens and $0.60 per 1M output tokens. gpt-oss-120b (Together) is 88% cheaper on input tokens than Kimi K2.6 (Together). For output tokens, gpt-oss-120b (Together) is the more affordable option at $0.60/1M vs $4.50.
On context window, Kimi K2.6 (Together) supports 262,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose Kimi K2.6 (Together)
- ✓ You need a larger context window (262,000 tokens)
- ✓ You are already integrated with Together AI
When to choose gpt-oss-120b (Together)
- ✓ You need the lowest input token cost ($ 0.15/1M)
- ✓ Your workload is output-heavy — gpt-oss-120b (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 K2.6 (Together) cheaper than gpt-oss-120b (Together)? ▼
gpt-oss-120b (Together) is cheaper on input tokens at $0.15/1M vs $1.20/1M for Kimi K2.6 (Together) — a 88% saving.
What is the context window of Kimi K2.6 (Together) vs gpt-oss-120b (Together)? ▼
Kimi K2.6 (Together) has a 262,000-token context window. gpt-oss-120b (Together) has a 128,000-token context window. Kimi K2.6 (Together) supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: Kimi K2.6 (Together) or gpt-oss-120b (Together)? ▼
The best choice depends on your use case. For cost efficiency on input tokens, gpt-oss-120b (Together) is the cheaper option. For maximum context length, Kimi K2.6 (Together) supports 262,000 tokens. Use the comparison table above to find the right fit for your workload.