- LiveCodeBench v6 (Aug 24 - May 25), Pass@1 53.7
- OJBench, Pass@1 27.1
- MultiPL-E, Pass@1 85.7
- SWE-bench Verified (Agentic Coding), Single Attempt (Acc) 65.8
- SWE-bench Multilingual (Agentic Coding), Single Attempt (Acc) 47.3
- TerminalBench, Inhouse Framework (Acc) 30
- Aider-Polyglot, Acc 60
- Mean of Tau2 retail, Avg@4 / Tau2 airline, Avg@4 / Tau2 telecom, Avg@4 64.3
- AceBench, Acc 76.5
- AIME 2024, Avg@64 69.6
- AIME 2025, Avg@64 49.5
- MATH-500, Acc 97.4
- HMMT 2025, Avg@32 38.8
- CNMO 2024, Avg@16 74.3
- PolyMath-en, Avg@4 65.1
- ZebraLogic, Acc 89
- AutoLogi, Acc 89.5
- GPQA-Diamond, Avg@8 75.1
- SuperGPQA, Acc 57.2
- Humanity's Last Exam (Text Only) 4.7
- MMLU, EM 89.5
- MMLU-Redux, EM 92.7
- MMLU-Pro, EM 81.1
- IFEval, Prompt Strict 89.8
- Multi-Challenge, Acc 54.1
- SimpleQA, Correct 31
- Livebench, Pass@1 76.4
Kimi K2 Jul 2025
Kimi K2 ranks first on 3 of the 78 benchmarks with five or more models scored.
Kimi K2
Jul 2025 snapshot Open weights Flagship
- SWE-Bench Pro 27.7% #17 /24
- LongBench v2 49.1% #25 /35
- SuperGPQA 57.2% #23 /35
Where it ranks
Its best score on each benchmark, and where that ranks among every model with a score there. We rank each model once, at its best setting.
Knowledge and language
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| DROP | 93.5% | #1 of 41 | Lab model card | |
| Vectara Hallucination Leaderboard (HHEM) | 1.10% | #5 of 148 | Official leaderboard | |
| WritingBench | 81.3 | #3 of 45 | Official leaderboard | |
| FACTS Grounding | 88.5% | #1 of 15 | Lab model card | |
| EQ-Bench 3 | 1,548 | #11 of 78 | Official leaderboard | |
| MMLU | 89.5% | #19 of 131 | Lab model card | |
| IFEval | 89.8% | #31 of 135 | Lab model card | |
| Creative Writing v3 | 75.0 | #30 of 120 | Official leaderboard | |
| LMArena (Elo) | 1,418 | #107 of 335 | Official leaderboard | |
| SimpleQA | 31% | #22 of 60 | Lab model card | |
| Longform Creative Writing (EQ-Bench) | 68.1 | #48 of 119 | Official leaderboard | |
| MMLU-Redux | 92.7% | #19 of 45 | Lab model card | |
| MMLU-Pro | 81.1% | #71 of 167 | Lab model card | |
| OpenAI MRCR | 55% | #5 of 10 | Lab model card | |
| Judgemark v2.1 | 73.1 | #22 of 42 | Official leaderboard | |
| Fiction.LiveBench | 61.1% | #34 of 57 | Fiction.live leaderboard, via Epoch AI | |
| SuperGPQA | 57.2% | #23 of 35 | Lab model card | |
| MultiChallenge | 54.1% | #28 of 42 | Lab model card | |
| WideSearch | 3.00% | #4 of 6 | Official leaderboard | |
| LLM Confabulation Leaderboard | 20.4% | #39 of 58 | Official leaderboard | |
| LongBench v2 | 49.1% | #25 of 35 | Lab model card | |
| MultiNRC | 18.5% | #29 of 38 | Official leaderboard | |
| FRAMES | 77.1% | #7 of 9 | Lab model card | |
| Arena-Hard v2.0 | 54.5% | #19 of 24 | Lab model card | |
| Humanity's Last Exam | 4.70% | #153 of 154 | Lab model card | |
| FaithJudge | 7.40% | #1 of 1 | Lab model card |
Math and science
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| AutoLogi | 89.5% | #1 of 8 | Lab model card | |
| MATH-500 | 97.4% | #14 of 70 | Lab model card | |
| GPQA Main | 65.3% | #18 of 60 | Official leaderboard | |
| PolyMath | 65.1% | #8 of 24 | Lab model card | |
| ZebraLogic | 89% | #8 of 23 | Lab model card | |
| GPQA Diamond | 75.1% | #149 of 302 | Lab model card | |
| HiPhO | 54.4% | #20 of 36 | Official leaderboard | |
| PHYBench | 21.3% | #16 of 28 | Official leaderboard | |
| ForecastBench | 0.14 | #56 of 82 | Official leaderboard | |
| AIME 2024 | 69.6% | #67 of 88 | Lab model card | |
| SimpleBench | 26.3% | #90 of 106 | Official leaderboard | |
| CNMO 2024 | 74.3% | #6 of 7 | Lab model card | |
| AIME 2025 | 49.5% | #132 of 143 | Lab model card | |
| HMMT 2025 | 38.8% | #53 of 54 | Lab model card |
Coding
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MultiPL-E | 85.7% | #2 of 18 | Lab model card | |
| AutoCodeBench | 47.8% | #10 of 34 | Official leaderboard | |
| SWE-bench Verified | 65.4% | #22 of 60 | Official leaderboard | |
| Aider Polyglot | 60% | #15 of 30 | Lab model card | |
| PaperBench | 27.8% | #9 of 15 | Lab model card | |
| ArtifactsBench | 47.6% | #13 of 20 | Official leaderboard | |
| SWE-Bench Pro | 27.7% | #17 of 24 | Official leaderboard | |
| WeirdML | 39.4% | #81 of 112 | Official leaderboard | |
| GSO-Bench | 4.90% | #22 of 30 | Official leaderboard | |
| Multi-SWE-bench flash | 18.3% | #3 of 4 | Official leaderboard | |
| LiveCodeBench v6 | 53.7% | #78 of 90 | Lab model card | |
| OJBench | 27.1% | #14 of 16 | Lab model card | |
| Multi-SWE-bench | 18.3% | #9 of 10 | Lab model card | |
| SWE-Lancer | 39.1% | #9 of 10 | Lab model card | |
| SWE-bench Multilingual | 47.3% | #68 of 73 | Lab model card | |
| IOI (Vals) | 1.25% | #52 of 55 | Official leaderboard |
Agents and tools
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| AceBench | 82.2% | #2 of 16 | Official leaderboard | |
| BFCL V4 | 59.1% | #9 of 65 | Official leaderboard | |
| Galileo Agent Leaderboard v2 | 53% | #5 of 21 | Official leaderboard | |
| Terminal-Bench | 27.8% | #9 of 18 | tbench.ai, via Epoch AI | |
| LisanBench | 347.3 | #77 of 133 | Official leaderboard | |
| MCPMark | 19.1% | #17 of 28 | Official leaderboard | |
| Elimination Game | 3 | #40 of 56 | Official leaderboard | |
| tau2-bench | 66.1% | #63 of 79 | Lab model card | |
| Step Race | 1 | #49 of 59 | Official leaderboard | |
| MCP-Universe | 19.1% | #27 of 30 | Official leaderboard | |
| LLM Chess | -689 | #119 of 123 | Official leaderboard | |
| lmgame-Bench | 6.28 | #23 of 23 | Official leaderboard |
Professional work
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| LegalBench | 81.5% | #78 of 138 | Official leaderboard | |
| TaxEval v2 | 70.2% | #86 of 129 | Official leaderboard | |
| CorpFin v2 | 50.4% | #97 of 119 | Official leaderboard | |
| PRBench | 36.4% | #45 of 48 | Official leaderboard |
Safety and security
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| HELM Safety | 98.0 | #7 of 75 | Official leaderboard | |
| SimpleSafetyTests | 100% | #16 of 75 | Official leaderboard | |
| AIR-Bench 2024 | 74.1% | #30 of 82 | Official leaderboard | |
| Anthropic Red Team | 99.3% | #30 of 75 | Official leaderboard | |
| LiveSecBench | 35.6 | #23 of 34 | Official leaderboard | |
| FORTRESS | 55.5% | #64 of 73 | Official leaderboard |
Other
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| HELM Capabilities | 76.8 | #10 of 60 | Official leaderboard | |
| LiveBench | 76.4% | #7 of 27 | Lab model card |
Its lab's numbers put it at 132.7, 8.5 points below its ECI
The Self-Reported Index fits one score to the 33 capability results Moonshot AI reported for this model, on the scale of the Epoch Capabilities Index. Labs choose which benchmarks to show and how to run them, so read it as the lab's claim, not an independent measurement. The 90% interval runs from 130.8 to 134.6. How we compute it.
- MATH-500 97.4
- DROP 93.5
- MMLU-Redux 92.7
- IFEval 89.8
- AutoLogi 89.5
- MMLU 89.5
- ZebraLogic 89
- FACTS Grounding 88.5
- MultiPL-E 85.7
- MMLU-Pro 81.1
- FRAMES 77.1
- GPQA Diamond 75.1
- AIME 2024 69.6
- tau2-bench 66.1
- SWE-bench Verified 65.8
- PolyMath 65.1
- Aider Polyglot 60
- SuperGPQA 57.2
- OpenAI MRCR 55
- Arena-Hard v2.0 54.5
- MultiChallenge 54.1
- LiveCodeBench v6 53.7
- AIME 2025 49.5
- LongBench v2 49.1
- SWE-bench Multilingual 47.3
- SWE-Lancer 39.1
- HMMT 2025 38.8
- SimpleQA 31
- Terminal-Bench 30
- PaperBench 27.8
- OJBench 27.1
- Multi-SWE-bench 18.3
- Humanity's Last Exam 4.7
Its lab's numbers next to 10 leaderboards
Where the benchmark's own leaderboard, or Epoch AI's run, also has this model. Gaps mostly come from different harnesses, effort levels and task subsets. Every pair.
| Benchmark | Lab says | Board says | Gap |
|---|---|---|---|
| AceBench | 76.5% AceBench, Acc | 82.2% Leaderboard | −5.7 pts |
| IFEval | 89.8% IFEval, Prompt Strict | 85% Leaderboard, strict, share of instructions followed | +4.8 pts |
| LongBench v2 | 49.1% LongBench v2 (Acc.), 128K window (Table 3) | 44.9% Leaderboard | +4.2 pts |
| MATH-500 | 97.4% MATH-500, Acc | 94.2% Leaderboard, Vals AI harness | +3.2 pts |
| tau2-bench | 66.1% τ2-Bench micro Pass@1 across domains (Appendix C text). Avg@4: retail 70.6, airline 56.5, telecom 65.8 (Table 3) | 64.3% Leaderboard | +1.8 pts |
| Aider Polyglot | 60% Aider-Polyglot, Acc | 59.1% Leaderboard, aider, diff edits | +0.9 pts |
| SuperGPQA | 57.2% SuperGPQA, Acc | 58.1% Leaderboard | −0.9 pts |
| SWE-bench Verified | 65.8% SWE-bench Verified (Agentic Coding), Single Attempt (Acc) | 65.4% Leaderboard, OpenHands | +0.4 pts |
| MMLU-Pro | 81.1% MMLU-Pro, EM | 81% Leaderboard | Same |
| Vectara Hallucination Leaderboard (HHEM) | 1.10% HHEM v2.1 (1-Hallu.), hallucination rate 1.1% (Table 3) | 1.10% Leaderboard | Same |
Moonshot AI's models over time
Moonshot AI's models in color, against every other model on the Epoch Capabilities Index, by release date.
Source: Epoch Capabilities Index, Epoch AI (CC BY 4.0)
Its launch post
The benchmarks the lab chose to headline, with the scores it gave.
Its system card
Every result in the longer documents the lab published with it. 14 of them aren't in the launch post.
Capabilities
- LiveCodeBench v6 53.7
- OJBench 27.1
- MultiPL-E 85.7
- SWE-bench Verified 65.8
- SWE-bench Multilingual 47.3
- Multi-SWE-bench 18.3
- SWE-Lancer 39.1
- Terminal-Bench 30
- Aider Polyglot 60
- tau2-bench 66.1
- AceBench 76.5
- AIME 2024 69.6
- AIME 2025 49.5
- MATH-500 97.4
- HMMT 2025 38.8
- CNMO 2024 74.3
- PolyMath 65.1
- ZebraLogic 89
- AutoLogi 89.5
- GPQA Diamond 75.1
- SuperGPQA 57.2
- Humanity's Last Exam 4.7
- MMLU 89.5
- MMLU-Redux 92.7
- MMLU-Pro 81.1
- IFEval 89.8
- MultiChallenge 54.1
- LiveBench 76.4
- Arena-Hard v2.0 54.5
- LongBench v2 49.1
- FRAMES 77.1
- OpenAI MRCR 55
- DROP 93.5
- Kimi Chinese in-house open-ended benchmark
- LMArena (Elo)
Hallucination
- SimpleQA 31
- FACTS Grounding 88.5
- Vectara Hallucination Leaderboard (HHEM) 1.1
- FaithJudge 7.4
AI R&D risk
- PaperBench 27.8