Kimi K2.6
VisionTool useReasoningPrompt cachingStructured output
Context
262K
Max output
262K
Serving providers
0
Cheapest input
n/a /1M
Benchmarks
independent evaluations · source: Artificial Analysis and Hugging Face leaderboardsSpeed & latency
Output speed
46 t/s
tokens / second
Time to first token
2.79s
latency
Headline indices
Individual benchmarks · click a row for effort variants
| Benchmark | Best score | Effort | Cost / task | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AA-Briefcase | 16% | — | — | |||||||||||||
| AIME 2026 | 96% | default | — | |||||||||||||
| APEX Agents | 28% | default | — | |||||||||||||
| CritPt | 8% | default | — | |||||||||||||
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| EvalComputeProxy | 8749.6 | default | — | |||||||||||||
| ||||||||||||||||
| GDPval | 1190.4 | default | — | |||||||||||||
| GPQA Diamond | 91% | default | — | |||||||||||||
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| Humanity's Last Exam | 36% | default | — | |||||||||||||
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| IFBench | 76% | default | — | |||||||||||||
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| IT-Bench SRE | 31% | default | — | |||||||||||||
| Long-Context Reasoning | 70% | default | — | |||||||||||||
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| MMMU-Pro | 79% | default | — | |||||||||||||
| Omniscience | 6.4 | default | — | |||||||||||||
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| SciCode | 53% | default | — | |||||||||||||
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| SWE-bench Pro | 59% | default | — | |||||||||||||
| SWE-bench Verified | 80% | default | — | |||||||||||||
| TerminalBench Hard | 44% | default | — | |||||||||||||
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| TerminalBench v2.1 | 66% | default | — | |||||||||||||
| τ-bench Banking | 21% | default | — | |||||||||||||
| τ²-bench | 96% | default | — | |||||||||||||
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Pricing by serving provider
availabilityNo public price yet. Not offered on-demand at any tracked provider.
Price history
input + output $/1M since we started tracking Input Output
Frequently asked questions
Kimi K2.6 pricing, context and availabilityWhat is the context window of Kimi K2.6?
Kimi K2.6 accepts up to 262K tokens of context and can return up to 262K output tokens.
What can Kimi K2.6 do?
Kimi K2.6 supports image input (vision), tool use, reasoning, prompt caching and structured output.
Other Moonshot models
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