Benchmarks
independent evaluations · source: ARC Prize, Artificial Analysis and Hugging Face leaderboards| Benchmark | Best score | Effort | Cost / task | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AIME 2026 | 96% | default | — | |||||||||||||||||
| APEX Agents | 12% | default | — | |||||||||||||||||
| ARC-AGI-2 | 12% | default | $0.28 | |||||||||||||||||
| CritPt | 3% | default | — | |||||||||||||||||
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| EvalComputeProxyFrozen Aug 18, 2026 | 648.1 | default | — | |||||||||||||||||
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| GDPval v2Frozen Aug 18, 2026 | 1006.1 | default | — | |||||||||||||||||
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| GPQA Diamond | 88% | default | — | |||||||||||||||||
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| Humanity's Last Exam | 31% | default | — | |||||||||||||||||
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| IFBench | 70% | default | — | |||||||||||||||||
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| Long-Context Reasoning | 78% | default | — | |||||||||||||||||
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| MMMU-Pro | 75% | default | — | |||||||||||||||||
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| Omniscience | -7.3 | default | — | |||||||||||||||||
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| Omniscience Accuracy | 0.4 | default | — | |||||||||||||||||
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| Omniscience Non Hallucination | 0.5 | reasoning: false | — | |||||||||||||||||
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| SciCodeArtificial Analysis did not report this score in its latest run on Oct 14, 2026 | 49% | — | — | |||||||||||||||||
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| SWE-bench Pro | 51% | default | — | |||||||||||||||||
| SWE-bench Verified | 71% | default | — | |||||||||||||||||
| TerminalBench Hard | 35% | default | — | |||||||||||||||||
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| TerminalBench v2.1 | 46% | default | — | |||||||||||||||||
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| τ-bench Banking | 14% | default | — | |||||||||||||||||
| τ²-bench | 96% | default | — | |||||||||||||||||
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Pricing by serving provider
standard tier · per 1M tokens · click a provider to expandInput pricing runs from $0.45 to $0.60 per 1M tokens across 11 providers, so the dearest route costs 33% more than the cheapest for the same model.
| Serving provider | Input /1M | Output /1M | Endpoints | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DeepInfraCheapest | $0.45 | $2.25 | 1 | |||||||||||||
Standarddeepinfra/moonshotai/Kimi-K2.5
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| OpenRouter | $0.50 | $2.50 | 1 | |||||||||||||
Standardmoonshotai/kimi-k2.5
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| Together AI | $0.50 | $2.80 | 1 | |||||||||||||
Standardtogether_ai/moonshotai/Kimi-K2.5
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| Azure | $0.60 | $3.00 | 1 | |||||||||||||
Standardazure_ai/kimi-k2.5
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| Baseten | $0.60 | $3.00 | 1 | |||||||||||||
Standardbaseten/moonshotai/Kimi-K2.5
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| Amazon Bedrock | $0.60 | $3.00 | 1 | |||||||||||||
Standardbedrock/moonshotai.kimi-k2.5
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| Fireworks AI | $0.60 | $3.00 | 1 | |||||||||||||
Standardfireworks_ai/accounts/fireworks/models/kimi-k2p5
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| Moonshot | $0.60 | $3.00 | 1 | |||||||||||||
Standardmoonshot/kimi-k2.5
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| Azure is dearest at $0.60 / $3.00 | ||||||||||||||||
Price history
listed seller prices, input and output per 1M tokensCost calculator
estimate your monthly spend on this modelModel IDs
copy the exact identifier for your platformFrequently asked questions
Kimi K2.5 pricing, context and availabilityIs Kimi K2.5 still available?
Yes. Kimi K2.5 is scheduled for retirement on 2027-01-26.
How much does Kimi K2.5 cost?
Kimi K2.5 costs $0.45 per 1M input tokens from DeepInfra, and $2.25 per 1M output tokens from DeepInfra. Across 11 serving providers, input prices range from $0.45 to $0.60 per 1M tokens.
What is the context window of Kimi K2.5?
Kimi K2.5 accepts up to 262K tokens of context and can return up to 262K output tokens.
Which providers serve Kimi K2.5?
Kimi K2.5 is available from 11 serving providers, each with its own pricing and model ID. DeepInfra is currently the cheapest.
What can Kimi K2.5 do?
Kimi K2.5 supports image input (vision), tool use, reasoning, prompt caching and structured output.
Other Moonshot models
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