- MMLU-Pro 87.8
- MMLU-Redux 94.9
- SuperGPQA 70.4
- C-Eval 93
- IFEval 92.6
- IFBench 76.5
- MultiChallenge 67.6
- AA-LCR 68.7
- LongBench v2 63.2
- GPQA 88.4
- Best of HLE / HLE-Verified / HLE w/ tool 48.3
- LiveCodeBench v6 83.6
- HMMT Feb 25 94.8
- HMMT Nov 25 92.7
- IMOAnswerBench 80.9
- AIME26 91.3
- BFCL-V4 72.9
- TAU2-Bench 86.7
- VITA-Bench 49.7
- DeepPlanning 34.3
- Tool Decathlon 38.3
- MCP-Mark 46.1
- BrowseComp (69.0/78.6) 78.6
- BrowseComp-zh 70.3
- WideSearch 74
- Seal-0 46.9
- MMMLU 88.5
- MMLU-ProX 84.7
- NOVA-63 59.1
- INCLUDE 85.6
- Global PIQA 89.8
- PolyMATH 73.3
- WMT24++ 78.9
- MAXIFE 88.2
- SWE-bench Verified 76.4
- SWE-bench Multilingual 69.3
- SecCodeBench 68.3
- Terminal Bench 2 52.5
- MMMU 85
- MMMU-Pro 79
- MathVision 88.6
- Mathvista(mini) 90.3
- We-Math 87.9
- DynaMath 86.3
- Best of ZEROBench / ZEROBench_sub 12
- BabyVision (52.3/43.3) 52.3
- RealWorldQA 83.9
- MMStar 83.8
- HallusionBench 71.4
- MMBenchEN-DEV-v1.1 93.7
- SimpleVQA 67.1
- OmniDocBench1.5 90.8
- CharXiv(RQ) 80.8
- MMLongBench-Doc 61.5
- CC-OCR 82
- AI2D_TEST 93.9
- OCRBench 93.1
- ERQA 67.5
- CountBench 97.2
- ODInW13 47
- EmbSpatialBench 84.5
- RefSpatialBench 73.6
- LingoQA 81.6
- V* (95.8/91.1) 95.8
- Hypersim 12.5
- SUNRGBD 38.3
- Nuscene 16
- Best of VideoMME(w sub.) / VideoMME(w/o sub.) 87.5
- VideoMMMU 84.7
- MLVU (M-Avg) 86.7
- MVBench 77.6
- LVBench 75.5
- MMVU 75.4
- ScreenSpot Pro 65.6
- OSWorld-Verified 62.2
- AndroidWorld 66.8
- SLAKE 79.9
- PMC-VQA 64.2
- MedXpertQA-MM 70
- RefCOCO(avg) 92.3
Qwen3.5 397B-A17B
Qwen3.5 397B-A17B ranks first on 7 of the 161 benchmarks with five or more models scored.
Qwen3.5 397B-A17B
Open weights Flagship
- MMMU-Pro 79% #20 /90
- IFBench 76.5% #18 /80
- AA-LCR (Artificial Analysis Long Context Reasoning) 68.7% #11 /38
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 | |
|---|---|---|---|---|
| MMLU-Pro | 87.8% | #6 of 167 | Lab model card | |
| MMLU-Redux | 94.9% | #2 of 45 | Lab model card | |
| C-Eval | 93% | #4 of 46 | Lab model card | |
| NOVA-63 | 59.1% | #1 of 11 | Lab model card | |
| HallusionBench | 71.4% | #3 of 31 | Lab model card | |
| BullshitBench V2 | 78% | #14 of 129 | Official leaderboard | |
| BullshitBench | 65.5% | #12 of 107 | Official leaderboard | |
| SEA-HELM | 76.2 | #8 of 71 | Official leaderboard | |
| Judgemark v2.1 | 85.5 | #5 of 42 | Official leaderboard | |
| IFEval | 92.6% | #17 of 135 | Lab model card | |
| MMLU-ProX | 84.7% | #3 of 23 | Lab model card | |
| SuperGPQA | 70.4% | #6 of 35 | Lab model card | |
| KINA | 43% | #7 of 37 | Official leaderboard | |
| MultiChallenge | 67.6% | #8 of 42 | Lab model card | |
| INCLUDE | 85.6% | #6 of 31 | Lab model card | |
| LongBench v2 | 63.2% | #7 of 35 | Lab model card | |
| IFBench | 76.5% | #18 of 80 | Lab model card | |
| LMArena (Elo) | 1,441 | #76 of 335 | Official leaderboard | |
| MMMLU | 88.5% | #18 of 71 | Lab model card | |
| MAXIFE | 88.2% | #3 of 11 | Lab model card | |
| HELM Arabic | 80.2 | #8 of 28 | Official leaderboard | |
| AA-LCR (Artificial Analysis Long Context Reasoning) | 68.7% | #11 of 38 | Lab model card | |
| Humanity's Last Exam | 48.3% | #47 of 154 | Lab model card | |
| EQ-Bench 3 | 1,451 | #28 of 78 | Official leaderboard | |
| Longform Creative Writing (EQ-Bench) | 68.3 | #46 of 119 | Official leaderboard | |
| Global PIQA | 89.8% | #6 of 14 | Lab model card | |
| SimpleVQA | 67.1% | #13 of 30 | Lab model card | |
| WideSearch | 74% | #9 of 19 | Lab model card | |
| HELM Arabic Enterprise | 65.3 | #12 of 23 | Official leaderboard | |
| Creative Writing v3 | 66.3 | #64 of 120 | Official leaderboard | |
| Judgemark v4 | 54.2 | #23 of 40 | Official leaderboard | |
| Extended NYT Connections | 58.9% | #67 of 103 | Official leaderboard | |
| Seal-0 | 46.9% | #5 of 7 | Lab model card | |
| WMT24++ | 78.9% | #15 of 15 | Lab model card |
Math and science
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| PolyMath | 73.3% | #4 of 24 | Lab model card | |
| HMMT 2025 | 94.8% | #13 of 54 | Lab model card | |
| General365 | 57.7% | #6 of 23 | Official leaderboard | |
| GPQA Diamond | 86.4% | #74 of 229 | Epoch AI run | |
| OTIS Mock AIME 2024-2025 | 88.9% | #72 of 212 | Epoch AI run | |
| DTBench | 87.5% | #64 of 180 | Official leaderboard | |
| HMMT Nov 2025 | 92.7% | #11 of 28 | Lab model card | |
| HMMT 2026 | 87.9% | #17 of 31 | Official leaderboard | |
| MathArena Apex Shortlist | 60.1% | #22 of 38 | Official leaderboard | |
| IMO-AnswerBench | 80.9% | #23 of 37 | Lab model card | |
| Echo General AI Prediction Leaderboard | 986 | #12 of 17 | Official leaderboard | |
| AIME 2026 | 94.2% | #22 of 31 | Official leaderboard | |
| FrontierMath Tiers 1-3 v2 | 31.2% | #67 of 86 | Official leaderboard | |
| ResearchClawBench | 14.2 | #18 of 23 | Official leaderboard | |
| USAMO 2026 | 36.3% | #8 of 9 | Official leaderboard | |
| FrontierChallenge | 4.10% | #10 of 11 | Official leaderboard |
Coding
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| SWE-bench Verified | 76.4% | #39 of 155 | Lab model card | |
| LiveCodeBench v6 | 83.6% | #23 of 90 | Lab model card | |
| DesignArena Website | 1,184 | #84 of 151 | Official leaderboard | |
| DesignArena 3D Design | 1,144 | #77 of 136 | Official leaderboard | |
| DesignArena Code | 1,170 | #82 of 143 | Official leaderboard | |
| SWE-bench Multilingual | 69.3% | #45 of 73 | Lab model card | |
| DesignArena SVG | 1,130 | #65 of 103 | Official leaderboard | |
| DesignArena UI Component | 1,154 | #88 of 139 | Official leaderboard | |
| DesignArena Game Dev | 1,130 | #91 of 143 | Official leaderboard | |
| DesignArena Data Visualization | 1,173 | #76 of 118 | Official leaderboard | |
| Code Arena | 1,400 | #85 of 128 | Official leaderboard | |
| AgenticDataBench | 47.1% | #2 of 3 | Official leaderboard | |
| EvoCode-Bench | 4.60% | #11 of 13 | Official leaderboard | |
| ALE-Bench | 1,007 | #108 of 126 | Official leaderboard | |
| Vision2Web S2-2026 | 19.2% | #9 of 9 | Official leaderboard |
Agents and tools
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| VITA-Bench | 49.7% | #1 of 16 | Lab model card | |
| BFCL V4 | 72.9% | #3 of 30 | Lab model card | |
| EnvSimBench | 42.3% | #1 of 7 | Official leaderboard | |
| tau3-bench | 87.9% | #1 of 7 | Official leaderboard | |
| ClawProBench | 64.2% | #12 of 49 | Official leaderboard | |
| DeepPlanning | 34.3% | #3 of 10 | Lab model card | |
| tau2-bench | 86.7% | #24 of 79 | Lab model card | |
| AutoResearchBench | 6.97% | #4 of 13 | Official leaderboard | |
| BrowseComp-ZH | 70.3% | #6 of 19 | Lab model card | |
| LisanBench | 1293.3 | #51 of 133 | Official leaderboard | |
| BrowseComp | 78.6% | #32 of 81 | Lab model card | |
| Toolathlon | 38.3% | #23 of 50 | Official leaderboard | |
| AndroidWorld | 66.8% | #12 of 23 | Lab model card | |
| Terminal-Bench 2.0 | 52.5% | #34 of 63 | Lab model card | |
| SnakeBench | 23 | #110 of 188 | Official leaderboard | |
| ScreenSpot-Pro | 65.6% | #19 of 32 | Lab model card | |
| Mystery Game Puzzles | 18% | #55 of 84 | Epoch AI run | |
| Claw-Eval Pass^3 | 56.8% | #16 of 24 | Official leaderboard | |
| Clocktower Radio | 1,478 | #16 of 23 | Official leaderboard | |
| Claw-Eval | 74.2% | #17 of 24 | Official leaderboard | |
| MobileWorld | 36.8% | #13 of 18 | Official leaderboard | |
| OSWorld-Verified | 62.2% | #30 of 41 | Lab model card | |
| DeepTerminalBench | 24% | #7 of 9 | Official leaderboard | |
| GameHorizon | 62.3 | #29 of 37 | Official leaderboard | |
| MCPMark | 46.1% | #8 of 10 | Lab model card | |
| LiveClawBench | 57% | #14 of 17 | Official leaderboard | |
| Pencil Puzzle Bench | 0% | #47 of 53 | Official leaderboard | |
| Toolathlon-Verified | 40.7% | #23 of 25 | Official leaderboard | |
| τ³-bench Banking | 9.79% | #25 of 25 | Official leaderboard | |
| Claw-Eval-Live | 49.5% | #12 of 12 | Official leaderboard | |
| WeaveBench | 0.90% | #9 of 9 | Official leaderboard |
Professional work
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| PMC-VQA | 64.2% | #2 of 10 | Lab model card | |
| MedXpertQA-MM | 70% | #5 of 21 | Lab model card | |
| SLAKE | 79.9% | #5 of 10 | Lab model card | |
| ProfBench | 45.1% | #44 of 72 | Official leaderboard | |
| SpreadsheetBench 2 | 11.2% | #7 of 8 | Official leaderboard | |
| APEX-Agents | 24.9% | #58 of 61 | Collected by Epoch AI, source not named | |
| BankerToolBench v1.1 | 2.70% | #10 of 10 | Official leaderboard |
Vision, audio and robotics
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MathVista | 90.3% | #2 of 70 | Lab model card | |
| MMMU | 85% | #4 of 103 | Lab model card | |
| MMBench-EN v1.1 | 93.7% | #1 of 23 | Lab model card | |
| MMStar | 83.8% | #2 of 36 | Lab model card | |
| OCRBench | 93.1% | #2 of 34 | Lab model card | |
| RefSpatial-Bench | 73.6% | #1 of 16 | Lab model card | |
| Nuscene | 16.0 | #1 of 8 | Lab model card | |
| DynaMath | 86.3% | #3 of 23 | Lab model card | |
| MVBench | 77.6% | #3 of 23 | Lab model card | |
| We-Math | 87.9% | #2 of 13 | Lab model card | |
| VideoMME v2 (with subtitles) | 39.1% | #5 of 31 | Official leaderboard | |
| MDPBench | 83.6 | #2 of 12 | Official leaderboard | |
| AI2D | 93.9% | #9 of 52 | Lab model card | |
| MMLongBench-Doc | 61.5% | #3 of 17 | Official leaderboard | |
| V* | 95.8% | #3 of 17 | Lab model card | |
| CountBench | 97.2% | #5 of 28 | Lab model card | |
| EmbSpatialBench | 84.5% | #3 of 16 | Lab model card | |
| OVO-S-Bench | 52.1% | #3 of 15 | Official leaderboard | |
| RefCOCO / RefCOCO+ / RefCOCOg | 92.3% | #6 of 29 | Lab model card | |
| CC-OCR | 82% | #3 of 14 | Lab model card | |
| Video-MME | 87.5% | #11 of 51 | Lab model card | |
| MMMU-Pro | 79% | #20 of 90 | Lab model card | |
| SpatialWorld Physical | 12.2% | #2 of 9 | Official leaderboard | |
| SUNRGBD | 38.3 | #2 of 9 | Lab model card | |
| MLVU | 86.7% | #5 of 22 | Lab model card | |
| MATH-Vision (MathVision) | 88.6% | #12 of 51 | Lab model card | |
| Video-MMMU | 84.7% | #9 of 36 | Lab model card | |
| MMVU | 75.4% | #7 of 26 | Lab model card | |
| ERQA | 67.5% | #10 of 36 | Lab model card | |
| GeoGuesser environment (FineEnvs) | 0.34 | #5 of 14 | Official leaderboard | |
| Vision Arena | 1,246 | #49 of 136 | Official leaderboard | |
| RealWorldQA | 83.9% | #14 of 38 | Lab model card | |
| ODinW-13 | 47% | #5 of 13 | Lab model card | |
| LingoQA | 81.6% | #4 of 10 | Lab model card | |
| LVBench | 75.5% | #13 of 31 | Lab model card | |
| CharXiv | 80.8% | #32 of 75 | Lab model card | |
| AgentWorldBench | 54.7 | #6 of 13 | Official leaderboard | |
| BabyVision | 43.3% | #15 of 27 | Official leaderboard | |
| Hypersim | 12.5 | #5 of 9 | Lab model card | |
| SpatialWorld Digital | 26% | #5 of 9 | Official leaderboard | |
| CiteVQA | 18.3% | #9 of 16 | Official leaderboard | |
| PerceptionBench (Moonshot) | 47.5% | #9 of 16 | Official leaderboard | |
| Claw-Eval-MM | 50.2% | #7 of 11 | Official leaderboard | |
| MineBench | 1,275 | #51 of 75 | Official leaderboard |
Safety and security
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| LiveSecBench | 81.5 | #5 of 34 | Official leaderboard | |
| BioTIER Permit | 99.8% | #14 of 69 | Official leaderboard | |
| Molecular Biology Capabilities Test | 52.5% | #29 of 90 | Official leaderboard | |
| nocot-bench (NCRI) | 80.0 | #60 of 185 | Official leaderboard | |
| BioTIER Refuse | 35.7% | #39 of 69 | Official leaderboard | |
| ABC Bench Screening Evasion | 56.7% | #10 of 17 | Official leaderboard | |
| Human Pathogen Capabilities Test | 48.3% | #52 of 86 | Official leaderboard | |
| SMDD-Bench | 27.5% | #5 of 7 | Official leaderboard | |
| World-Class Bio | 34.2% | #54 of 74 | Official leaderboard | |
| ABC Bench Liquid-Handling Robot | 57.3% | #26 of 34 | Official leaderboard | |
| ABC Bench Fragment Design | 76.3% | #22 of 27 | Official leaderboard | |
| SecCodeBench | 68.3% | #1 of 1 | Lab model card |
Other
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| LMCA | 37.9% | #65 of 147 | Official leaderboard | |
| Conceptual Reasoning Index | 49.7 | #70 of 151 | Official leaderboard | |
| SAGE v1.1 (Vals) | 85.5% | #15 of 29 | Official leaderboard | |
| ACCoRD | 55.6 | #104 of 152 | Official leaderboard |
Its lab's numbers put it at 149.8, 1.9 points above its ECI
The Self-Reported Index fits one score to the 71 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 148.9 to 150.7. How we compute it.
- CountBench 97.2
- V* 95.8
- MMLU-Redux 94.9
- HMMT 2025 94.8
- AI2D 93.9
- MMBench-EN v1.1 93.7
- OCRBench 93.1
- C-Eval 93
- HMMT Nov 2025 92.7
- IFEval 92.6
- RefCOCO / RefCOCO+ / RefCOCOg 92.3
- AIME 2026 91.3
- MathVista 90.3
- Global PIQA 89.8
- MATH-Vision (MathVision) 88.6
- MMMLU 88.5
- GPQA Diamond 88.4
- MAXIFE 88.2
- We-Math 87.9
- MMLU-Pro 87.8
- Video-MME 87.5
- tau2-bench 86.7
- MLVU 86.7
- DynaMath 86.3
- INCLUDE 85.6
- MMMU 85
- MMLU-ProX 84.7
- Video-MMMU 84.7
- EmbSpatialBench 84.5
- RealWorldQA 83.9
- MMStar 83.8
- LiveCodeBench v6 83.6
- CC-OCR 82
- LingoQA 81.6
- IMO-AnswerBench 80.9
- CharXiv 80.8
- SLAKE 79.9
- MMMU-Pro 79
- WMT24++ 78.9
- BrowseComp 78.6
- MVBench 77.6
- IFBench 76.5
- SWE-bench Verified 76.4
- LVBench 75.5
- MMVU 75.4
- WideSearch 74
- PolyMath 73.3
- BFCL V4 72.9
- HallusionBench 71.4
- SuperGPQA 70.4
- BrowseComp-ZH 70.3
- MedXpertQA-MM 70
- SWE-bench Multilingual 69.3
- AA-LCR (Artificial Analysis Long Context Reasoning) 68.7
- MultiChallenge 67.6
- SimpleVQA 67.1
- AndroidWorld 66.8
- ScreenSpot-Pro 65.6
- PMC-VQA 64.2
- LongBench v2 63.2
- OSWorld-Verified 62.2
- MMLongBench-Doc 61.5
- NOVA-63 59.1
- Terminal-Bench 2.0 52.5
- BabyVision 52.3
- VITA-Bench 49.7
- Humanity's Last Exam 48.3
- ODinW-13 47
- MCPMark 46.1
- Toolathlon 38.3
- DeepPlanning 34.3
Its lab's numbers next to 7 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 |
|---|---|---|---|
| BabyVision | 52.3% BabyVision (52.3/43.3) | 43.3% Leaderboard | +9.0 pts |
| AIME 2026 | 91.3% AIME26 | 94.2% Leaderboard | −2.9 pts |
| GPQA Diamond | 88.4% GPQA | 86.4% Epoch AI run, none | +2.0 pts |
| MATH-Vision (MathVision) | 88.6% MathVision | 88.6% Leaderboard | Same |
| MMLongBench-Doc | 61.5% MMLongBench-Doc | 61.5% Leaderboard, VL; 17B activated (397B total) | Same |
| MMLU-Pro | 87.8% MMLU-Pro | 87.8% Leaderboard | Same |
| Toolathlon | 38.3% Tool Decathlon | 38.3% Leaderboard | Same |
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.