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Kimi K2 Thinking
About Kimi K2 Thinking
Kimi K2 Thinking is an AI model developed by Moonshot, in the language category, released in 2025, made available as an open-weights model with 1000B params.
On this page you'll find Kimi K2 Thinking's full specifications, including 47 benchmark results. Review provider pricing and benchmark scores below, or compare Kimi K2 Thinking head-to-head with other language models.
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Run Kimi K2 Thinking locally — what it takes
Kimi K2 Thinking (1,000B) is too large to run on a single consumer or Apple machine. At Q4 its weights alone are about 560 GB — it needs a multi-GPU / datacenter setup:
- ≈ 3× AMD Instinct MI325X
- ≈ 4× NVIDIA B200
Lower quantization (Q3/Q2) or CPU + system-RAM offload (e.g. ktransformers) reduces the requirement at the cost of speed.
Software support
✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.
Community
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Kimi K2 Thinking benchmark scores▶
| Benchmark | Category | Score | Variant |
|---|---|---|---|
| BrowseComp | agentic | 60.2% | thinking-w-tools |
| BrowseComp-Zh | agentic | 62.3 | thinking-w-tools |
| BrowseComp-Zh | agentic | 62.3 | thinking-cited-deepseek-v3-2 |
| FinSearchComp-T3 | agentic | 47.4 | thinking-w-tools |
| MCP-Mark | agentic | 20.4 | thinking-cited-deepseek-v3-2 |
| MCP-Universe | agentic | 35.6 | thinking-cited-deepseek-v3-2 |
| Seal-0 | agentic | 56.3 | thinking-w-tools |
| Terminal-Bench 2.0 | agentic | 47.1% | thinking-w-simulated-tools |
| Terminal-Bench 2.0 | agentic | 35.7% | thinking-cited-deepseek-v3-2 |
| Terminal-Bench 2.0 | agentic | 35.7% | cited-devstral-readme |
| Tool-Decathlon | agentic | 17.6 | thinking-cited-deepseek-v3-2 |
| τ²-Bench (TAU2) | agentic | 74.3 | thinking-cited-deepseek-v3-2 |
| LiveCodeBench | code | 82.6% | thinking-cited-deepseek-v3-2 |
| LiveCodeBench v6 | code | 83.1% | thinking-no-tools |
| SWE-bench Verified | code | 71.3% | thinking-cited-deepseek-v3-2 |
| SWE-bench Verified | code | 71.3% | cited-devstral-readme |
| SWE-bench Verified | code | 71.3% | thinking-w-tools |
| SciCode | code | 44.8% | thinking-no-tools |
| Multi-SWE-bench | coding | 41.9 | thinking-w-tools |
| OJ-Bench (cpp) | coding | 48.7 | thinking-cpp-no-tools |
| SWE-Bench Multilingual | coding | 61.1 | thinking-w-tools |
| SWE-Bench Multilingual | coding | 61.1 | thinking-cited-deepseek-v3-2 |
| SWE-Bench Multilingual | coding | 61.1 | cited-devstral-readme |
| Longform Writing | general | 73.8 | thinking-no-tools |
| MMLU-Pro | general | 84.6% | thinking-cited-deepseek-v3-2 |
| MMLU-Pro | general | 84.6% | thinking-no-tools |
| MMLU-Redux | general | 94.4% | thinking-no-tools |
| Frames | long-context | 87 | thinking-w-tools |
| AIME 2025 | math | 100% | thinking-heavy |
| AIME 2025 | math | 99.1% | thinking-w-python |
| AIME 2025 | math | 94.5% | thinking-cited-deepseek-v3-2 |
| AIME 2025 | math | 94.5% | thinking-no-tools |
| HMMT February 2025 | math | 97.5% | thinking-heavy |
| HMMT February 2025 | math | 95.1% | thinking-w-python |
| HMMT February 2025 | math | 89.4% | thinking-no-tools |
| HMMT February 2025 | math | 89.4% | thinking-cited-deepseek-v3-2 |
| HMMT November 2025 | math | 89.2 | thinking-cited-deepseek-v3-2 |
| IMOAnswerBench | math | 78.6 | thinking-no-tools |
| IMOAnswerBench | math | 78.6 | thinking-cited-deepseek-v3-2 |
| GPQA Diamond | reasoning | 84.5% | thinking-cited-deepseek-v3-2 |
| GPQA Diamond | reasoning | 84.5% | thinking-no-tools |
| Humanity's Last Exam | reasoning | 51% | thinking-heavy |
| Humanity's Last Exam | reasoning | 44.9% | thinking-w-tools |
| Humanity's Last Exam | reasoning | 44.9% | thinking-search-agent-cited-deepseek-v3-2 |
| Humanity's Last Exam | reasoning | 23.9% | thinking-text-only-cited-deepseek-v3-2 |
| Humanity's Last Exam | reasoning | 23.9% | thinking-no-tools |
| HealthBench | safety | 58% | thinking-no-tools |
More models like Kimi K2 Thinking
Frequently asked questions
What is Kimi K2 Thinking? ▶
Kimi K2 Thinking is an AI model developed by Moonshot, in the language category, released in 2025. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created Kimi K2 Thinking? ▶
Kimi K2 Thinking was developed by Moonshot and released in 2025.
Is Kimi K2 Thinking open source or proprietary? ▶
Kimi K2 Thinking ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.
How much does Kimi K2 Thinking cost? ▶
Pricing for Kimi K2 Thinking depends on the provider. See the providers table on this page for the latest API rates.
How does Kimi K2 Thinking perform on benchmarks? ▶
Kimi K2 Thinking is benchmarked across 47 evaluations on GenAIList, including BrowseComp (60.2%). See the full benchmark table below and compare it with other models.
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