Moonshot AI model product
Kimi K2 0905 is the September update of Kimi K2 0711.
Updated Aug 12, 2026. Default version: Kimi K2-Instruct-0905
Technical details for the model's default version.
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Kimi K2-Instruct-0905.
| ACEBench | 76.5% | 02 | 2 | 0.0% | C | |
| AutoLogi | 89.5% | 02 | 2 | 0.0% | C | |
| CNMO 2024 | 74.3% | 02 | 3 | 50.0% | C | |
| PolyMath-en | 65.1% | 02 | 2 | 0.0% | C | |
| MultiPL-E | 85.7% | 05 | 13 | 66.7% | C | |
| ZebraLogic | 89.0% | 06 | 8 | 28.6% | C | |
| MATH-500 | 97.4% | 07 | 32 | 80.7% | C | |
| OJBench | 27.1% | 09 | 9 | 0.0% | C | |
| LiveBench | 76.4% | 10 | 38 | 75.7% | C | |
| Aider-Polyglot | 60.0% | 13 | 22 | 42.9% | C | |
| MMLU | 89.5% | 14 | 100 | 86.9% | C | |
| Multi-Challenge | 54.1% | 15 | 29 | 50.0% | C | |
| IFEval | 89.8% | 17 | 65 | 75.0% | C | |
| MMLU-Redux | 92.7% | 17 | 48 | 66.0% | C | |
| Tau2 Airline | 56.5% | 17 | 23 | 27.3% | C | |
| Tau2 Retail | 70.6% | 21 | 26 | 20.0% | C | |
| SuperGPQA | 57.2% | 22 | 34 | 36.4% | C | |
| Terminal-Bench | 25.0% | 23 | 25 | 8.3% | C | |
| SimpleQA | 31.0% | 25 | 46 | 46.7% | C | |
| Tau2 Telecom | 65.8% | 28 | 35 | 20.6% | C | |
| HMMT 2025 | 38.8% | 30 | 33 | 9.4% | C | |
| SWE-bench Multilingual | 47.3% | 31 | 34 | 9.1% | C | |
| LiveCodeBench | 53.7% | 40 | 73 | 45.8% | C | |
| AIME 2024 | 69.6% | 42 | 53 | 21.1% | C | |
| MMLU-Pro | 81.1% | 46 | 129 | 64.8% | C | |
| SWE-Bench Verified | 65.8% | 73 | 105 | 30.8% | C | |
| Humanity's Last Exam | 4.7% | 92 | 93 | 1.1% | C | |
| AIME 2025 | 49.5% | 103 | 114 | 9.7% | C | |
| GPQA | 75.1% | 106 | 234 | 54.9% | C |
Preference and agent-evaluation results for the default version.
The default version does not have a matching Arena result yet.
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.
Official vendor API pricing appears first, followed by individual provider offers.
| Hugging Face | moonshotai/Kimi-K2-Instruct-0905 | global | $1 | $3 | 262.1K |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Available versions of this model. The score column identifies the version used in the overall ranking.
| Kimi K2 0905 | N/A | 1T | 262.1K | 262.1K | No | Proprietary | |
| Kimi K2-Instruct-0905 | 37.2 | 1T | N/A | N/A | No | MIT | |
| Kimi K2 Base | N/A | 1T | N/A | N/A | No | MIT | |
| Kimi K2 Instruct | N/A | 1T | 200K | 200K | No | MIT |
Key information about Kimi K2 and its available data.
Kimi K2 0905 is the September update of Kimi K2 0711. It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It supports long-context inference up to 256k tokens, extended from the previous 128k.
This update improves agentic coding with higher accuracy and better generalization across scaffolds, and enhances frontend coding with more aesthetic and functional outputs for web, 3D, and related tasks. The model is trained with a novel stack incorporating the MuonClip optimizer for stable large-scale MoE training.
Data as of 2026-08-11.
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Common questions about Kimi K2.
Kimi K2's default version was released on Sep 5, 2025.
Kimi K2's official API price is $0.60 per million input tokens and $2.5 per million output tokens via Moonshot AI. 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.
No. The default version is not marked as having publicly available weights.
2 provider offerings are linked to the default version.
Nearby ranked alternatives include Gemma 4 12B, Gemini 2.5 Flash, North Mini Code 1.0.