Kimi K2.5
Moonshot AIOpen weightsNon-reasoningVerifiedReleased Jan 27, 2026Input: text, image
Overall score
53.0
Rank 86 of 222 · 44.4–61.7
Context window
256K
256,000 tokens
Price per 1M tokens
$0.60 in · $3.00 out
Source: BenchLM
Blended price
$1.20
3:1 input:output tokens
Output speed
—
Not measured yet
Category scores
Scores per capability area with the model's rank among ranked models in that category.
- 1Multilingual#887.3
- 2Instruction following#4885.8
- 3Math83.3
- 4Reasoning71.3
- 5Multimodal#3370.4
- 6Knowledge#7862.0
- 7Coding#6947.8
- 8Agentic & tool use#6733.9
Benchmark results (67)
As reported in system cards, papers and public evaluations. Position compares this model with every other model reporting the same benchmark.
Multimodal
| Design Arena Website | 1249 | #43 of 91 |
| MMMU-Pro | 78.5 | #18 of 48 |
| CharXiv | 77.5 | #33 of 42 |
| MMMU | 84.3 | #5 of 21 |
| MathVision | 84.2 | #15 of 20 |
| SimpleVQA | 71.2 | #9 of 17 |
| RealWorldQA | 81.0 | #11 of 16 |
| VideoMMMU | 86.6 | #4 of 12 |
| OmniDocBench 1.5 | 88.8 | #7 of 11 |
| Video-MME (with subtitle) | 87.4 | #7 of 11 |
| MLVU (M-Avg) | 85.0 | #7 of 9 |
| CountBench | 94.1 | #4 of 8 |
| RefCOCO (avg) | 87.8 | #6 of 8 |
| Video-MME (w/o subtitle) | 83.2 | #4 of 7 |
| CC-OCR | 79.7 | #4 of 7 |
| AI2D_TEST | 90.8 | #5 of 7 |
| MMVU | 80.4 | #3 of 7 |
| DynaMath | 84.4 | #5 of 6 |
| We-Math | 84.7 | #3 of 5 |
| MMLongBench-Doc | 58.5 | #4 of 5 |
| Video-MME | 87.4 | #2 of 2 |
Agentic & tool use
| Gert Labs | 45.88 | #29 of 52 |
| BrowseComp | 60.6 | #41 of 50 |
| MCP Atlas | 29.5 | #42 of 42 |
| Terminal-Bench 2.0 | 50.8 | #28 of 39 |
| Claw-Eval | 52.3 | #31 of 36 |
| OSWorld-Verified | 63.3 | #27 of 35 |
| JobBench | 8.7 | #33 of 34 |
| τ³-bench results | 65.7 | #12 of 23 |
| Toolathlon | 27.8 | #21 of 22 |
| DeepSearchQA | 77.1 | #12 of 20 |
| BFCL v4 | 68.3 | #7 of 19 |
| ResearchClawBench | 14.0 | #16 of 19 |
| WideResearch | 72.7 | #12 of 16 |
| QwenClawBench | 54.3 | #5 of 10 |
| DeepPlanning | 14.4 | #7 of 7 |
| MCP-Tasks | 59.1 | #5 of 5 |
Coding
| SWE-bench Verified | 76.8 | #35 of 98 |
| SWE-bench Pro | 50.7 | #61 of 69 |
| LiveCodeBench v6 | 85.0 | #15 of 46 |
| NL2Repo | 32.0 | #30 of 31 |
| SciCode | 48.7 | #7 of 23 |
| React Native Evals | 77.2 | #8 of 15 |
| SWE-Rebench | 58.5 | #8 of 13 |
| SWE-bench Verified* | 70.8 | #4 of 5 |
Knowledge
| GPQA | 87.6 | #37 of 117 |
| HLE | 30.1 | #44 of 69 |
| MMLU-Pro | 87.1 | #7 of 67 |
| SuperGPQA | 69.2 | #10 of 20 |
| MMLU-Redux | 94.5 | #4 of 15 |
| C-Eval | 94.0 | #1 of 10 |
| MMLU-Pro (Arcee) | 87.1 | #2 of 5 |
Math
| AIME 2025 | 96.1 | #4 of 38 |
| AIME26 | 95.8 | #7 of 29 |
| HMMT Feb 2026 | 87.1 | #11 of 24 |
| HMMT Feb 2025 | 95.4 | #4 of 13 |
| HMMT Nov 2025 | 91.1 | #7 of 12 |
| MMAnswerBench | 81.8 | #7 of 10 |
| AIME25 (Arcee) | 96.3 | #2 of 5 |
Multilingual
| SWE Multilingual | 73.0 | #30 of 46 |
| MMLU-ProX | 82.3 | #8 of 16 |
| INCLUDE | 83.3 | #6 of 10 |
| NOVA-63 | 56.0 | #6 of 7 |
| PolyMath | 43.1 | #6 of 6 |
| MAXIFE | 72.8 | #5 of 5 |
Reasoning
| LongBench v2 | 61.0 | #8 of 17 |
Instruction following
| IFEval | 93.9 | #7 of 53 |
Pricing by source
USD per 1M tokens.
| Source | Input | Output | Cached in |
|---|---|---|---|
| List price (BenchLM) | $0.60 | $3.00 | — |
| OpenRouter moonshotai/kimi-k2.5 | $0.50 | $2.50 | $0.15 |
Last published rate. Moonshot's Kimi API platform listed K2.5 at $0.60 input / $3.00 output per million tokens and said the same model supports both thinking and non-thinking modes. Moonshot's chat and Batch pricing pages, read September 25, 2026, no longer list it.
Arena ratings
Human-preference ratings from LMArena. Best-rated variant shown.
| Text(thinking) | 1445 | #62 · 74.8K votes |
| WebDev (coding)(Thinking) | 1437 | #82 · 20.1K votes |
| Vision(Thinking) | 1269 | #46 · 28.2K votes |
| Documents(thinking) | 1430 | #34 · 21.6K votes |
Open weights
From the Hugging Face repository.
- Parameters
- 1.03T
- Licence
- other
- Downloads (30 days)
- 317.2K
- Repository
- moonshotai/Kimi-K2.5 ↗
Speed
Measured by us through OpenRouter (median of trials).
Not measured yet.
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