- SWE-bench Verified 78.8
- SWE-bench Multilingual 73.8
- SWE-bench Pro 56.6
- Terminal-Bench 2.0 61.6
- Claw-Eval Avg 74.8
- Claw-Eval Pass^3 58.7
- SkillsBench Avg5 45.7
- QwenClawBench 57.2
- NL2Repo 37.9
- QwenWebBench 1501.7
- TAU3-Bench 70.7
- VITA-Bench 44.3
- DeepPlanning 41.5
- Tool Decathlon 39.8
- MCPMark 48.2
- MCP-Atlas 74.1
- Best of HLE w/ tool / HLE 50.6
- WideSearch 74.3
- MMLU-Pro 88.5
- MMLU-Redux 94.5
- SuperGPQA 71.6
- C-Eval 93.3
- IFEvalstrict prompt 94.3
- IFBench 74.2
- AA-LCR 68.3
- LongBench v2 62
- GPQA 90.4
- LiveCodeBench v6 87.1
- HMMT Feb 25 96.7
- HMMT Nov 25 94.6
- HMMT Feb 26 87.8
- IMOAnswerBench 83.8
- AIME26 95.3
- MMMLU 89.5
- MMLU-ProX 84.7
- NOVA-63 57.9
- INCLUDE 85.1
- Global PIQA 89.8
- PolyMATH 77.4
- WMT24++ 84.3
- MAXIFE 88.2
- MMMU 86
- MMMU-Pro 78.8
- MathVision 88
- We-Math 89
- DynaMath 88
- RealWorldQA 85.4
- MMStar 83.3
- SimpleVQA 67.3
- OmniDocBench1.5 91.2
- CharXiv(RQ) 81.5
- MMLongBench-Doc 62
- CC-OCR 83.4
- AI2D_TEST 94.4
- CountBench 97.6
- ODinW13 51.8
- ERQA 65.7
- V* (96.9 / 90.5) 96.9
- Best of VideoMME(w sub.) / VideoMME(w/o sub.) 87.8
- VideoMMMU 84
- MLVU (M-Avg) 86.7
- ScreenSpot Pro 68.2
- TIR-Bench (61.6 / 43.7) 61.6
- OSWorld-Verified 62.5
Qwen 3.6 Plus
Qwen 3.6 Plus ranks first on 6 of the 158 benchmarks with five or more models scored.
Qwen 3.6 Plus
Closed weights Flagship
- SWE-bench Verified 57.9% #29 /32
- MMMU-Pro 78.8% #22 /90
- IFBench 74.2% #26 /80
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 | 88.5% | #3 of 167 | Lab model card | |
| C-Eval | 93.3% | #2 of 46 | Lab model card | |
| MMLU-Redux | 94.5% | #3 of 45 | Lab model card | |
| IFEval | 94.3% | #10 of 135 | Lab model card | |
| SuperGPQA | 71.6% | #3 of 35 | Lab model card | |
| BullshitBench V2 | 72% | #18 of 129 | Official leaderboard | |
| MMMLU | 89.5% | #11 of 71 | Lab model card | |
| MMLU-ProX | 84.7% | #4 of 23 | Lab model card | |
| LMArena (Elo) | 1,443 | #72 of 335 | Official leaderboard | |
| INCLUDE | 85.1% | #7 of 31 | Lab model card | |
| LongBench v2 | 62% | #8 of 35 | Lab model card | |
| Humanity's Last Exam | 50.6% | #38 of 154 | Lab model card | |
| AA-LCR (Artificial Analysis Long Context Reasoning) | 68.3% | #12 of 38 | Lab model card | |
| IFBench | 74.2% | #26 of 80 | Lab model card | |
| CL-bench | 20.3% | #8 of 24 | Official leaderboard | |
| MAXIFE | 88.2% | #4 of 11 | Lab model card | |
| SimpleVQA | 67.3% | #12 of 30 | Lab model card | |
| WideSearch | 74.3% | #8 of 19 | Lab model card | |
| SimpleQA Verified | 44.1% | #46 of 94 | Epoch AI run | |
| Global PIQA | 89.8% | #7 of 14 | Lab model card | |
| WMT24++ | 84.3% | #8 of 15 | Lab model card | |
| NOVA-63 | 57.9% | #6 of 11 | Lab model card | |
| OpenAI MRCR v2 | 41% | #26 of 47 | Official leaderboard | |
| Extended NYT Connections | 60.3% | #66 of 103 | Official leaderboard | |
| DesignArena ASCII Art | 1,110 | #63 of 77 | Official leaderboard | |
| Lech Mazur Creative Writing | -2.33 | #42 of 50 | Official leaderboard |
Math and science
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| PolyMath | 77.4% | #3 of 24 | Lab model card | |
| HMMT Nov 2025 | 94.6% | #4 of 28 | Lab model card | |
| HMMT 2025 | 96.7% | #11 of 54 | Lab model card | |
| GPQA Diamond | 88.4% | #60 of 229 | Epoch AI run | |
| AIME 2026 | 95.3% | #10 of 38 | Lab model card | |
| OTIS Mock AIME 2024-2025 | 93.3% | #57 of 212 | Epoch AI run | |
| FrontierMath | 26.2% | #19 of 55 | Official leaderboard | |
| FrontierMath Tier 4 | 8.33% | #21 of 55 | Epoch AI run | |
| IMO-AnswerBench | 83.8% | #17 of 37 | Lab model card | |
| DTBench | 81.9% | #83 of 180 | Official leaderboard | |
| ResearchClawBench | 18.0 | #13 of 23 | Official leaderboard | |
| HMMT 2026 | 87.8% | #12 of 19 | Lab model card | |
| FrontierMath Tiers 1-3 v2 | 38.3% | #59 of 86 | Official leaderboard |
Coding
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| LiveCodeBench v6 | 87.1% | #15 of 90 | Lab model card | |
| DesignArena Website | 1,235 | #65 of 151 | Official leaderboard | |
| DesignArena Code | 1,227 | #63 of 143 | Official leaderboard | |
| DesignArena Game Dev | 1,202 | #63 of 143 | Official leaderboard | |
| DesignArena Data Visualization | 1,224 | #53 of 118 | Official leaderboard | |
| SWE-bench Multilingual | 73.8% | #33 of 73 | Lab model card | |
| DesignArena UI Component | 1,223 | #65 of 139 | Official leaderboard | |
| OpenHands Index | 52.9% | #16 of 33 | Official leaderboard | |
| DesignArena 3D Design | 1,186 | #66 of 136 | Official leaderboard | |
| QwenWebBench | 1,502 | #2 of 4 | Lab model card | |
| WebDev Arena | 1,461 | #53 of 105 | arena.ai, via Epoch AI | |
| SWE-Bench Pro | 56.6% | #42 of 81 | Lab model card | |
| Code Arena | 1,461 | #68 of 128 | Official leaderboard | |
| EvoCode-Bench | 29.4% | #7 of 13 | Official leaderboard | |
| DesignArena SVG | 1,152 | #56 of 103 | Official leaderboard | |
| ALE-Bench | 1,273 | #77 of 126 | Official leaderboard | |
| Vibe Code Bench | 25.6% | #81 of 120 | Official leaderboard | |
| EvoCode-Bench v2 | 9.70% | #9 of 13 | Official leaderboard | |
| DesignArena Video to Website | 1,170 | #14 of 19 | Official leaderboard | |
| Image-to-WebDev Arena | 1,473 | #41 of 55 | Official leaderboard | |
| QwenVision2Code | 1,522 | #4 of 5 | Official leaderboard | |
| RoadmapBench | 12.2% | #9 of 11 | Official leaderboard | |
| Code Migration | 11.1% | #64 of 78 | Official leaderboard | |
| NL2Repo-Bench | 37.9% | #25 of 30 | Lab model card | |
| QwenSVG | 1,432 | #6 of 7 | Official leaderboard | |
| SWE-bench Verified | 57.9% | #29 of 32 | Epoch AI run | |
| FrogsGame post-training task | 0% | #17 of 17 | Official leaderboard | |
| FrontierSWE v1 | 19.9% | #17 of 17 | Official leaderboard | |
| AutoLab | 0.27 | #10 of 10 | Official leaderboard | |
| QwenWebDev | 1,500 | #6 of 6 | Official leaderboard |
Agents and tools
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| DeepPlanning | 41.5% | #2 of 10 | Lab model card | |
| DeepTerminalBench | 32% | #2 of 9 | Official leaderboard | |
| SnakeBench | 28 | #53 of 188 | Official leaderboard | |
| Terminal-Bench 2.0 | 61.6% | #18 of 63 | Lab model card | |
| VITA-Bench | 44.3% | #5 of 16 | Lab model card | |
| Pencil Puzzle Bench | 10% | #17 of 53 | Official leaderboard | |
| QwenClawBench | 57.4% | #4 of 12 | Official leaderboard | |
| LiveClawBench | 70.6% | #6 of 17 | Official leaderboard | |
| tau3-bench | 70.7% | #5 of 14 | Lab model card | |
| Toolathlon | 39.8% | #19 of 50 | Official leaderboard | |
| ClawProBench | 60.2% | #22 of 49 | Official leaderboard | |
| PinchBench 2.0 | 72.5% | #29 of 57 | Official leaderboard | |
| ScreenSpot-Pro | 68.2% | #17 of 32 | Lab model card | |
| MCP Atlas | 74.1% | #26 of 46 | Lab model card | |
| Claw-Eval | 75% | #14 of 24 | Official leaderboard | |
| ToolcallFormatIFBench | 83.3% | #3 of 5 | Official leaderboard | |
| Long-Horizon-Terminal-Bench (LHTB) | 31.3% | #16 of 25 | Official leaderboard | |
| Claw-Eval Pass^3 | 58.7% | #9 of 13 | Lab model card | |
| MCPMark | 48.2% | #7 of 10 | Lab model card | |
| OSWorld-Verified | 62.5% | #29 of 41 | Lab model card | |
| TERMS-Bench | 0.60 | #8 of 11 | Official leaderboard | |
| PinchBench | 63.3% | #35 of 48 | Official leaderboard | |
| MobileGym | 45.7% | #3 of 4 | Official leaderboard | |
| SkillsBench | 45.7% | #11 of 14 | Lab model card | |
| Mystery Game Puzzles | 12% | #68 of 84 | Epoch AI run | |
| AutomationBench | 4.30% | #34 of 42 | Official leaderboard | |
| Chess Puzzles | 16% | #77 of 93 | Epoch AI run | |
| Claw-Eval-Live | 50.5% | #11 of 12 | Official leaderboard |
Professional work
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MortgageTax | 68% | #20 of 87 | Official leaderboard | |
| TaxEval v2 | 74.7% | #31 of 129 | Official leaderboard | |
| LegalBench | 84.2% | #37 of 138 | Official leaderboard | |
| Vals Finance Agent | 54.6% | #15 of 49 | Official leaderboard | |
| Workspace-Bench-Lite | 55.6% | #3 of 9 | Official leaderboard | |
| CorpFin v2 | 61.9% | #51 of 119 | Official leaderboard | |
| Vals Index v1 | 53.3% | #16 of 34 | Official leaderboard | |
| Vending-Bench 2 | $5,115 | #34 of 67 | Official leaderboard | |
| Clipping Bench | $458 | #12 of 19 | Official leaderboard | |
| FoodTruck Bench | $7,668 | #40 of 59 | Official leaderboard | |
| YC-Bench | $787,999 | #40 of 59 | Official leaderboard | |
| MedScribe | 77% | #66 of 97 | Official leaderboard | |
| Harvey LAB (Legal Agent Benchmark) | 1.25% | #55 of 80 | Official leaderboard | |
| FORTE | 62.5% | #15 of 21 | Official leaderboard | |
| MedCode | 36.9% | #71 of 96 | Official leaderboard | |
| PhysicianBench | 13.7% | #10 of 13 | Official leaderboard | |
| Vals Finance Agent v2 | 40.9% | #63 of 80 | Official leaderboard | |
| Vals Index v2 | 32% | #52 of 65 | Official leaderboard | |
| Excel Modeling Benchmark | 32.9% | #63 of 76 | Official leaderboard | |
| MBABench | 14.7 | #5 of 6 | Official leaderboard | |
| Legal Research Bench | 14.9% | #78 of 93 | Official leaderboard | |
| Agents' Last Exam | 8.55% | #27 of 31 | Official leaderboard | |
| Tax Agent Bench | 7.68% | #74 of 84 | Official leaderboard | |
| CaseLaw v2 | 51.5% | #49 of 53 | Official leaderboard | |
| E-Commerce Bench | 0.47 | #18 of 19 | Official leaderboard | |
| TRLawBench | 6.97 | #33 of 34 | Official leaderboard |
Vision, audio and robotics
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MMMU | 86% | #1 of 103 | Lab model card | |
| DynaMath | 88% | #1 of 23 | Lab model card | |
| V* | 96.9% | #1 of 17 | Lab model card | |
| ODinW-13 | 51.8% | #1 of 13 | Lab model card | |
| We-Math | 89% | #1 of 13 | Lab model card | |
| MMStar | 83.3% | #3 of 36 | Lab model card | |
| MMLongBench-Doc | 62% | #2 of 19 | Lab model card | |
| AI2D | 94.4% | #6 of 52 | Lab model card | |
| CC-OCR-Bench-V2 | 76.5% | #2 of 15 | Official leaderboard | |
| CountBench | 97.6% | #4 of 28 | Lab model card | |
| CC-OCR | 83.4% | #2 of 14 | Lab model card | |
| Video-MME | 87.8% | #8 of 51 | Lab model card | |
| TIR-Bench | 61.6% | #1 of 6 | Lab model card | |
| RealWorldQA | 85.4% | #8 of 38 | Lab model card | |
| VisFactor | 38.2% | #6 of 26 | Official leaderboard | |
| MMMU-Pro | 78.8% | #22 of 90 | Lab model card | |
| MATH-Vision (MathVision) | 88% | #13 of 51 | Lab model card | |
| MLVU | 86.7% | #6 of 22 | Lab model card | |
| ERQA | 65.7% | #12 of 36 | Lab model card | |
| CharXiv | 81.5% | #26 of 75 | Lab model card | |
| Video-MMMU | 84% | #13 of 36 | Lab model card | |
| CiteVQA | 17.5% | #10 of 16 | Official leaderboard | |
| AgentWorldBench | 50.8 | #11 of 13 | Official leaderboard | |
| BVB | 53.9 | #42 of 45 | Official leaderboard | |
| VoxelBench | 1,263 | #54 of 56 | Official leaderboard | |
| QwenWorldBench | 47.6% | #5 of 5 | Official leaderboard |
Safety and security
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| nocot-bench (NCRI) | 82.2 | #53 of 185 | Official leaderboard | |
| HelpBench | 83% | #4 of 9 | Official leaderboard | |
| Human Pathogen Capabilities Test | 50.2% | #46 of 86 | Official leaderboard | |
| Molecular Biology Capabilities Test | 47.2% | #52 of 90 | Official leaderboard | |
| World-Class Bio | 43.6% | #43 of 74 | Official leaderboard | |
| Dictatorship Eval | 38.8% | #15 of 20 | Official leaderboard |
Other
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| SAGE (Vals) | 44.9% | #42 of 81 | Official leaderboard | |
| Conceptual Reasoning Index | 45.7 | #86 of 151 | Official leaderboard | |
| LMCA | 33.1% | #85 of 147 | Official leaderboard | |
| ACCoRD | 59.3 | #92 of 152 | Official leaderboard | |
| Vals Multimodal Index | 51.5% | #25 of 33 | Official leaderboard |
Its lab's numbers put it at 151.1, 2.3 points above its ECI
The Self-Reported Index fits one score to the 59 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 150.1 to 152.1. How we compute it.
- CountBench 97.6
- V* 96.9
- HMMT 2025 96.7
- AIME 2026 95.3
- HMMT Nov 2025 94.6
- MMLU-Redux 94.5
- AI2D 94.4
- IFEval 94.3
- C-Eval 93.3
- GPQA Diamond 90.4
- Global PIQA 89.8
- MMMLU 89.5
- We-Math 89
- MMLU-Pro 88.5
- MAXIFE 88.2
- MATH-Vision (MathVision) 88
- DynaMath 88
- HMMT 2026 87.8
- Video-MME 87.8
- LiveCodeBench v6 87.1
- MLVU 86.7
- MMMU 86
- RealWorldQA 85.4
- INCLUDE 85.1
- MMLU-ProX 84.7
- WMT24++ 84.3
- Video-MMMU 84
- IMO-AnswerBench 83.8
- CC-OCR 83.4
- MMStar 83.3
- CharXiv 81.5
- SWE-bench Verified 78.8
- MMMU-Pro 78.8
- PolyMath 77.4
- Claw-Eval 74.8
- WideSearch 74.3
- IFBench 74.2
- MCP Atlas 74.1
- SWE-bench Multilingual 73.8
- SuperGPQA 71.6
- tau3-bench 70.7
- AA-LCR (Artificial Analysis Long Context Reasoning) 68.3
- ScreenSpot-Pro 68.2
- SimpleVQA 67.3
- OSWorld-Verified 62.5
- LongBench v2 62
- MMLongBench-Doc 62
- Terminal-Bench 2.0 61.6
- Claw-Eval Pass^3 58.7
- NOVA-63 57.9
- SWE-Bench Pro 56.6
- ODinW-13 51.8
- Humanity's Last Exam 50.6
- MCPMark 48.2
- SkillsBench 45.7
- VITA-Bench 44.3
- DeepPlanning 41.5
- Toolathlon 39.8
- NL2Repo-Bench 37.9
Its lab's numbers next to 6 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 | What differs |
|---|---|---|---|---|
| SWE-bench Verified | 78.8% SWE-bench Verified | 57.9% Epoch AI run, 2026-04-02 | +21 pts | Qwen uses its internal coding scaffold, while Epoch uses its own tool loop and a validated 484-task subset. |
| GPQA Diamond | 90.4% GPQA | 88.4% Epoch AI run, 2026-04-02 | +2.0 pts | |
| QwenClawBench | 57.2% QwenClawBench | 57.4% Leaderboard, v1.1 | −0.2 pts | |
| Claw-Eval | 74.8% Claw-Eval Avg | 75% Leaderboard | −0.2 pts | |
| Claw-Eval Pass^3 | 58.7% Claw-Eval Pass^3 | 58.8% Leaderboard | Same | |
| Toolathlon | 39.8% Tool Decathlon | 39.8% 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.