- MMLU-Pro 71.1
- MMLU-redux 86.8
- GPQA 49
- MATH 83.1
- GSM8K 95.8
- Best of HumanEval / HumanEval+ 86.6
- Best of MBPP / MBPP+ 88.2
- MultiPL-E 75.1
- LiveCodeBench 2305-2409 55.5
- LiveBench 0831 52.3
- IFeval strict-prompt 84.1
- Arena-Hard 81.2
- AlignBench v1.1 8.16
- MTbench 9.35
- IFEval (multilingual) 87
- AMMLU (Arabic) 72.4
- JMMLU (Japanese) 80.6
- KMMLU (Korean) 62
- IndoMMLU (Indonesian) 69.3
- TurkishMMLU (Turkish) 76.1
- okapi MMLU (translated) 80
- MGSM8K (extended) 88.2
- BLEnD 32.5
- MMLU 86.1
- BBH 86.3
- ARC-C 72.4
- TruthfulQA 60.4
- WindoGrande 83.9
- HellaSwag 87.6
- Theoremqa 42.4
- MMLU-stem 82.7
- Multi-Exam 78.7
- Multi-Understanding 89.6
- Multi-Translation 39
Qwen2.5-72B
Qwen2.5-72B ranks first on 10 of the 128 benchmarks with five or more models scored.
Qwen2.5-72B
Open weights Flagship
- GPQA Diamond 49.1% #157 /229
- OSWorld 5.00% #8 /8
- KoBALT 37% #2 /12
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 | |
|---|---|---|---|---|
| Open Arabic LLM Leaderboard v1 | 69.1% | #1 of 55 | Official leaderboard | |
| ArabicMMLU | 71.4% | #1 of 39 | Official leaderboard | |
| ArbMMLU-HT | 72.2% | #1 of 39 | Official leaderboard | |
| Open Arabic LLM Leaderboard v2 | 72.4% | #1 of 39 | Official leaderboard | |
| QIMMA | 68.5% | #1 of 25 | Official leaderboard | |
| MT-Bench | 9.35 | #1 of 23 | Lab model card | |
| AlGhafa | 78.2% | #2 of 39 | Official leaderboard | |
| MadinahQA | 65% | #2 of 39 | Official leaderboard | |
| MMLU-CF | 71.6% | #2 of 37 | Official leaderboard | |
| MuSR | 47.7% | #6 of 98 | Official leaderboard | |
| MLogiQA | 58.4% | #2 of 17 | Official leaderboard | |
| RULER | 95.1% | #5 of 42 | Lab model card | |
| Okapi MMLU | 80% | #1 of 8 | Lab model card | |
| KoBALT | 37% | #2 of 12 | Official leaderboard | |
| Alyah | 74.6% | #2 of 10 | Official leaderboard | |
| LLM-AggreFact | 75.6% | #2 of 10 | Official leaderboard | |
| WinoGrande | 83.9% | #10 of 47 | Lab model card | |
| Global PIQA | 78.3% | #11 of 44 | Official leaderboard | |
| AMMLU | 72.4% | #1 of 4 | Lab model card | |
| IndoMMLU | 69.3% | #1 of 4 | Lab model card | |
| JMMLU | 80.6% | #1 of 4 | Lab model card | |
| Multilingual IFEval | 87% | #1 of 4 | Lab model card | |
| TurkishMMLU | 76.1% | #1 of 4 | Lab model card | |
| Chinese SimpleQA | 50.2% | #7 of 27 | Official leaderboard | |
| CMMLU | 85.7% | #3 of 11 | Official leaderboard | |
| BIG-Bench Hard | 86.3% | #20 of 73 | Lab model card | |
| MGSM | 88.2% | #16 of 57 | Lab model card | |
| ALRAGE | 78.8% | #11 of 39 | Official leaderboard | |
| PIQA | 82.6% | #18 of 58 | Claim in DeepSeek-V3 Technical Report, via Epoch AI | |
| EQ-Bench v2 | 79.0 | #27 of 85 | Official leaderboard | |
| HellaSwag | 87.6% | #17 of 53 | Lab model card | |
| LongBench-Chat | 8.72 | #2 of 6 | Lab model card | |
| Multilingual Exams | 78.7% | #1 of 3 | Lab model card | |
| Multilingual Understanding | 89.6% | #1 of 3 | Lab model card | |
| MMLU | 86.1% | #48 of 131 | Lab model card | |
| BLEnD | 32.5% | #2 of 5 | Lab model card | |
| SwitzerlandQA | 70% | #3 of 7 | Official leaderboard | |
| Arena-Hard-Auto | 81.2% | #18 of 39 | Lab model card | |
| Vectara Hallucination Leaderboard (HHEM) | 4.30% | #73 of 148 | Official leaderboard | |
| TruthfulQA | 60.4% | #15 of 30 | Lab model card | |
| Flores | 39.0 | #4 of 8 | Lab model card | |
| KMMLU | 62% | #3 of 6 | Lab model card | |
| PenguinScrolls | 81.8% | #1 of 2 | Official leaderboard | |
| AraGen | 48.9% | #22 of 42 | Official leaderboard | |
| ARC-Challenge | 72.4% | #29 of 49 | Lab model card | |
| SuperGPQA | 40.8% | #35 of 59 | Official leaderboard | |
| BuzzBench | 45.9 | #12 of 20 | Official leaderboard | |
| AlignBench | 8.16 | #9 of 15 | Lab model card | |
| TableBench | 48.8% | #6 of 10 | Official leaderboard | |
| LLM Confabulation Leaderboard | 19.1% | #36 of 58 | Official leaderboard | |
| FaithJudge | 20.7% | #23 of 37 | Official leaderboard | |
| LongBench v2 | 43.5% | #21 of 33 | Official leaderboard | |
| HELM Arabic | 76.9 | #18 of 28 | Official leaderboard | |
| IFEval | 84.1% | #89 of 135 | Lab model card | |
| LMArena (Elo) | 1,303 | #230 of 335 | Official leaderboard | |
| Encyclo-K | 25% | #16 of 23 | Official leaderboard | |
| TriviaQA | 71.9% | #27 of 38 | Claim in DeepSeek-V3 Technical Report, via Epoch AI | |
| MMLU-Redux | 86.8% | #32 of 45 | Lab model card | |
| MMLU-Pro | 71.1% | #120 of 167 | Lab model card | |
| WritingBench | 57.8 | #33 of 45 | Official leaderboard | |
| KINA | 23% | #31 of 37 | Official leaderboard | |
| EQ-Bench 3 | 896 | #68 of 78 | Official leaderboard | |
| Arena-Hard v2.0 | 10.1% | #23 of 23 | Official leaderboard | |
| MARS-Bench | 29.2% | #15 of 15 | Official leaderboard | |
| MultiLoKo | 16.4% | #7 of 7 | Official leaderboard | |
| MMLU-stem | 82.7% | #2 of 2 | Lab model card |
Math and science
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| GSM8K | 95.8% | #9 of 92 | Lab model card | |
| MATH | 83.1% | #17 of 99 | Lab model card | |
| PHYSICS | 28.7% | #5 of 20 | Official leaderboard | |
| KOR-Bench | 52.2% | #9 of 33 | Official leaderboard | |
| CNMO 2024 | 15.9% | #2 of 7 | Official leaderboard | |
| ZebraLogic | 26.6% | #16 of 46 | Official leaderboard | |
| MATH Level 5 | 63.2% | #41 of 94 | Epoch AI run | |
| U-MATH | 51.2% | #15 of 30 | Official leaderboard | |
| IneqMath | 2.50% | #21 of 34 | Official leaderboard | |
| GPQA Diamond | 49.1% | #157 of 229 | Epoch AI run | |
| GPQA Main | 42.6% | #43 of 60 | Official leaderboard | |
| DTBench | 62.9% | #130 of 180 | Official leaderboard | |
| ForecastBench | 0.15 | #62 of 82 | Official leaderboard | |
| OTIS Mock AIME 2024-2025 | 8.06% | #165 of 212 | Epoch AI run | |
| GSM8K Platinum Initial 268 | 97.4% | #16 of 19 | Official leaderboard | |
| PolyMath | 16.9% | #36 of 38 | Official leaderboard | |
| AutoLogi | 66% | #2 of 2 | Official leaderboard | |
| TheoremQA | 42.4% | #2 of 2 | Lab model card |
Coding
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MBPP | 88.2% | #4 of 71 | Lab model card | |
| BigCodeBench | 50.8% | #18 of 69 | Official leaderboard | |
| HumanEval | 86.6% | #34 of 101 | Lab model card | |
| LiveCodeBench | 55.5% | #25 of 54 | Lab model card | |
| BigCodeBench-Hard | 25.4% | #45 of 96 | Official leaderboard | |
| FullStackBench | 56.9% | #5 of 10 | Official leaderboard | |
| MultiPL-E | 75.1% | #10 of 18 | Lab model card | |
| AutoCodeBench | 34.3% | #26 of 34 | Official leaderboard | |
| Multi-SWE-bench mini | 6.00% | #4 of 5 | Official leaderboard | |
| METR Time Horizon | 5.8 min | #27 of 31 | Official leaderboard | |
| ArtifactsBench (Gemini 2.5 Pro 0506 judge) | 34.5% | #16 of 18 | Official leaderboard | |
| OIBench | 1.80% | #8 of 9 | Official leaderboard | |
| Multi-SWE-bench | 2.57% | #10 of 11 | Official leaderboard | |
| WeirdML | 16% | #105 of 112 | Official leaderboard |
Agents and tools
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| WebWalkerQA | 33.3% | #1 of 5 | Official leaderboard | |
| Galileo Agent Leaderboard v2 | 51% | #7 of 21 | Official leaderboard | |
| AceBench | 74.7% | #6 of 16 | Official leaderboard | |
| ComplexFuncBench | 40.1% | #5 of 11 | Official leaderboard | |
| AgentBench FC | 40.8% | #7 of 12 | Official leaderboard | |
| C3-Bench | 6.25% | #18 of 30 | Official leaderboard | |
| When2Call | 32.8% | #6 of 10 | Official leaderboard | |
| Galileo Agent Leaderboard | 0.82 | #20 of 29 | Official leaderboard | |
| Step Race | 1 | #45 of 59 | Official leaderboard | |
| BALROG | 16.2% | #26 of 33 | Official leaderboard | |
| SnakeBench | 18 | #155 of 188 | Official leaderboard | |
| LLM Chess | -672 | #117 of 123 | Official leaderboard | |
| BrowseComp-ZH | 6.60% | #9 of 9 | Official leaderboard | |
| OSWorld | 5.00% | #8 of 8 | OS World Website, via Epoch AI |
Professional work
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| BRIDGE | 51.0 | #4 of 39 | Official leaderboard | |
| FinEval | 69.4% | #1 of 7 | Official leaderboard | |
| BizFinBench | 67.7% | #3 of 13 | Official leaderboard | |
| MedQA | 75.3% | #18 of 71 | Official leaderboard | |
| LegalBench | 79.4% | #91 of 138 | Official leaderboard | |
| TheAgentCompany | 5.70% | #5 of 7 | Official leaderboard | |
| BizFinBench v2 | 35.9% | #7 of 9 | Official leaderboard |
Vision, audio and robotics
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Ego3D-Bench | 7.50 | #3 of 11 | Official leaderboard | |
| VRBench | 53.5% | #10 of 19 | Official leaderboard | |
| SpatialViz-Bench | 33.3% | #6 of 8 | Claim in arxiv.org, via Epoch AI |
Safety and security
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| AraTrust | 89.2% | #2 of 39 | Official leaderboard | |
| SimpleSafetyTests | 100% | #6 of 75 | Official leaderboard | |
| Anthropic Red Team | 99.6% | #16 of 75 | Official leaderboard | |
| HELM Safety | 93.1 | #31 of 75 | Official leaderboard | |
| AIR-Bench 2024 | 59% | #53 of 82 | Official leaderboard | |
| nocot-bench (NCRI) | 63.5 | #126 of 185 | Official leaderboard | |
| BaxBench | 10.4% | #27 of 34 | Official leaderboard | |
| AutoBaxBench | 6.67% | #9 of 11 | Official leaderboard | |
| FORTRESS | 56.4% | #66 of 73 | Official leaderboard |
Other
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Open LLM Leaderboard v2 | 48.0 | #1 of 99 | Official leaderboard | |
| HELM Lite | 74.5 | #18 of 71 | Official leaderboard | |
| LiveBench | 52.3% | #18 of 27 | Lab model card | |
| HELM Capabilities | 59.9 | #42 of 60 | Official leaderboard | |
| Political Science LLM Benchmark | 64.8% | #32 of 42 | Official leaderboard | |
| ACCoRD | 42.5 | #128 of 152 | Official leaderboard | |
| Conceptual Reasoning Index | 24.2 | #129 of 151 | Official leaderboard | |
| LMCA | 13.4% | #127 of 147 | Official leaderboard |
Its lab's numbers put it at 127.7, in line with its ECI
The Self-Reported Index fits one score to the 20 capability results Qwen 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 125.1 to 130.2. How we compute it.
- GSM8K 95.8
- RULER 95.1
- MBPP 88.2
- MGSM 88.2
- HellaSwag 87.6
- MMLU-Redux 86.8
- HumanEval 86.6
- BIG-Bench Hard 86.3
- MMLU 86.1
- IFEval 84.1
- WinoGrande 83.9
- MATH 83.1
- Arena-Hard-Auto 81.2
- Okapi MMLU 80
- MultiPL-E 75.1
- ARC-Challenge 72.4
- MMLU-Pro 71.1
- TruthfulQA 60.4
- LiveCodeBench 55.5
- GPQA Diamond 49
Its lab's numbers next to 4 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.
Qwen's models over time
Qwen'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. 5 of them aren't in the launch post.
Capabilities
- MMLU-Pro 71.1
- MMLU-Redux 86.8
- LiveBench 52.3
- GPQA Diamond 49
- MATH 83.1
- GSM8K 95.8
- HumanEval 86.6
- MBPP 88.2
- MultiPL-E 75.1
- LiveCodeBench 55.5
- IFEval 84.1
- Arena-Hard-Auto 81.2
- MT-Bench 9.35
- Multilingual IFEval 87
- AMMLU 72.4
- JMMLU 80.6
- KMMLU 62
- IndoMMLU 69.3
- TurkishMMLU 76.1
- Okapi MMLU 80
- MGSM 88.2
- BLEnD 32.5
- Qwen in-house English automatic evaluation
- Qwen in-house Chinese automatic evaluation
- RULER 95.1
- LV-Eval
- LongBench-Chat 8.72