Moonshot AI model product
Kimi K2 is a Mixture-of-Experts large language model from Moonshot AI with 32 billion activated parameters, 1 trillion total parameters, and a 256K-token context length.
Updated Sep 8, 2026. Default version: Kimi K2-Instruct-0905
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Kimi K2-Instruct-0905.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkACEBench | Score76.50% | Rank02 | Participants2 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkAutoLogi | Score89.50% | Rank02 | Participants2 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkCNMO 2024 | Score74.30% | Rank02 | Participants3 | Percentile50.00% | EvidenceC | Evaluated |
| BenchmarkPolyMath-en | Score65.10% | Rank02 | Participants2 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkMultiPL-E | Score85.70% | Rank05 | Participants13 | Percentile66.67% | EvidenceC | Evaluated |
| BenchmarkZebraLogic | Score89.00% | Rank06 | Participants8 | Percentile28.57% | EvidenceC | Evaluated |
| BenchmarkMATH-500 | Score97.40% | Rank07 | Participants32 | Percentile80.65% | EvidenceC | Evaluated |
| BenchmarkOJBench | Score27.10% | Rank09 | Participants9 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkLiveBench | Score76.40% | Rank10 | Participants38 | Percentile75.68% | EvidenceC | Evaluated |
| BenchmarkAider-Polyglot | Score60.00% | Rank13 | Participants22 | Percentile42.86% | EvidenceC | Evaluated |
| BenchmarkMMLU | Score89.50% | Rank14 | Participants101 | Percentile87.00% | EvidenceC | Evaluated |
| BenchmarkMulti-Challenge | Score54.10% | Rank15 | Participants29 | Percentile50.00% | EvidenceC | Evaluated |
| BenchmarkIFEval | Score89.80% | Rank17 | Participants68 | Percentile76.12% | EvidenceC | Evaluated |
| BenchmarkMMLU-Redux | Score92.70% | Rank17 | Participants48 | Percentile65.96% | EvidenceC | Evaluated |
| BenchmarkTau2 Airline | Score56.50% | Rank18 | Participants24 | Percentile26.09% | EvidenceC | Evaluated |
| BenchmarkSuperGPQA | Score57.20% | Rank22 | Participants34 | Percentile36.36% | EvidenceC | Evaluated |
| BenchmarkTau2 Retail | Score70.60% | Rank22 | Participants27 | Percentile19.23% | EvidenceC | Evaluated |
| BenchmarkTerminal-Bench | Score25.00% | Rank23 | Participants25 | Percentile8.33% | EvidenceC | Evaluated |
| BenchmarkSimpleQA | Score31.00% | Rank25 | Participants47 | Percentile47.83% | EvidenceC | Evaluated |
| BenchmarkTau2 Telecom | Score65.80% | Rank29 | Participants36 | Percentile20.00% | EvidenceC | Evaluated |
| BenchmarkHMMT 2025 | Score38.80% | Rank30 | Participants33 | Percentile9.38% | EvidenceC | Evaluated |
| BenchmarkSWE-bench Multilingual | Score47.30% | Rank37 | Participants43 | Percentile14.29% | EvidenceC | Evaluated |
| BenchmarkAIME 2024 | Score69.60% | Rank42 | Participants53 | Percentile21.15% | EvidenceC | Evaluated |
| BenchmarkLiveCodeBench | Score53.70% | Rank42 | Participants75 | Percentile44.59% | EvidenceC | Evaluated |
| BenchmarkMMLU-Pro | Score81.10% | Rank51 | Participants138 | Percentile63.50% | EvidenceC | Evaluated |
| BenchmarkSWE-Bench Verified | Score65.80% | Rank78 | Participants113 | Percentile31.25% | EvidenceC | Evaluated |
| BenchmarkHumanity's Last Exam | Score4.70% | Rank102 | Participants103 | Percentile0.98% | EvidenceC | Evaluated |
| BenchmarkAIME 2025 | Score49.50% | Rank108 | Participants119 | Percentile9.32% | EvidenceC | Evaluated |
| BenchmarkGPQA | Score75.10% | Rank116 | Participants247 | Percentile53.25% | EvidenceC | Evaluated |
Preference and agent-evaluation results for the default version.
The default version does not have a matching Arena result yet.
Official vendor API pricing appears first, followed by individual provider offers.
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderHugging Face | Provider model IDmoonshotai/Kimi-K2-Instruct-0905 | Regionglobal | Input / 1M$1 | Output / 1M$3 | Context262.1K | Updated |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Provider-specific output speed and catalog latency for Kimi K2-Instruct-0905. Runtime does not affect the capability score.
No provider-specific speed or latency record is linked to the default version yet.
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Technical details for the model's default version.
Available versions of this model. The score column identifies the version used in the overall ranking.
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionKimi K2 0905 | Released | LLMBoardN/A | Parameters1T | Context262.1K | Max output262.1K | Open weightsNo | LicenseProprietary |
| VersionKimi K2-Instruct-0905 | Released | LLMBoard36.25 | Parameters1T | ContextN/A | Max outputN/A | Open weightsYes | LicenseMIT |
| VersionKimi K2 Base | Released | LLMBoardN/A | Parameters1T | ContextN/A | Max outputN/A | Open weightsYes | LicenseMIT |
| VersionKimi K2 Instruct | Released | LLMBoardN/A | Parameters1T | Context200K | Max output200K | Open weightsYes | LicenseMIT |
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about Kimi K2 and its available data.
5T tokens for agentic tasks, coding, mathematics, knowledge, and tool use. It uses the MuonClip optimizer and a hybrid architecture without long thinking.
Data as of 2026-09-08.
Common questions about Kimi K2.
Kimi K2's default version was released on Sep 5, 2025.
No official standard PAYG price is currently available for Kimi K2. The lowest tracked third-party offer starts at $1 input and $3 output via Hugging Face.
Kimi K2 was created by Moonshot AI.
A context window is not available for the default version.
Yes. The default version is marked as open weight under MIT.
1 provider offerings are linked to the default version.