- MMMU_VAL 80.6
- MMMU_Pro 69.3
- MathVista_mini 85.8
- MathVision 74.6
- MathVerse_mini 85
- Best of ZEROBench 4.0 / ZEROBench_Sub 27.7 27.7
- VisuLogic 34.4
- MMBench_EN_V1.1_dev 90.6
- RealWorldQA 81.3
- MMStar 78.7
- SimpleVQA 61.3
- HallusionBench 66.7
- MM_MT_Bench 8.5
- MIABench 92.7
- MMLongBench-Doc 56.2
- DocVQA_TEST 96.5
- InfoVQA_TEST 89.5
- AI2D_TEST 89.2
- OCRBench 875.0 (out of 1000) 87.5
- OCRBenchV2 (en/ch) 66.8 / 63.5 66.8
- CC_OCR 81.5
- CharXiv(RQ) 66.1
- RefCOCO-avg 92.4
- CountBench 93.7
- ODinW13 43.2
- ARKitScenes 53.7
- Hypersim 11
- SUNRGBD 34.9
- Objectron 71.2
- BLINK 67.1
- MUIRBENCH 80.1
- ERQA 52.5
- EmbSpatialBench 84.3
- RefSpatialBench 69.9
- RoboSpatialHome 73.9
- VideoMME(w/o sub) 79
- MLVU 83.8
- LVBench 63.6
- CharadesSTA 63.5
- VideoMMMU 80
- ScreenSpot 95.4
- ScreenSpot Pro 61.8
- OSWorldG 68.3
- OSWorld 38.1
- Design2Code 93.4
- MMLU 90.6
- MMLU-Pro 83.8
- MMLU-Redux 93.7
- SuperGPQA 64.3
- SimpleQA 44.4
- AIME25 89.7
- HMMT25 77.4
- LCB v6 70.1
- ZebraLogic 97.3
- LiveBench1125 79.6
- HLE 13.6
- SIFO (SIFO-multiturn 71.1) 77.3
- IFEval 88.2
- Creative Writing v3 85.7
- WritingBench 86.7
- BFCL 71.9
- MultiIF 79.1
- MMLU-ProX 80.6
- INCLUDE 80
Qwen3-VL-235B-A22B
Qwen3-VL-235B-A22B ranks first on 5 of the 96 benchmarks with five or more models scored.
Qwen3-VL-235B-A22B
Open weights Flagship
- MMMU-Pro 69.3% #52 /90
- SimpleVQA 61.3% #19 /30
- ERQA 52.5% #26 /36
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 | 90.6% | #8 of 131 | Lab model card | |
| WritingBench | 86.7 | #2 of 14 | Lab model card | |
| Creative Writing v3 | 85.7 | #2 of 12 | Lab model card | |
| MMBench-CN v1.1 | 88.6% | #1 of 5 | Lab model card | |
| MMLU-Redux | 93.7% | #10 of 45 | Lab model card | |
| Multi-IF | 79.1% | #7 of 28 | Lab model card | |
| Arena-Hard v2.0 | 74.8% | #6 of 24 | Lab model card | |
| MMLU-Pro | 83.8% | #43 of 167 | Lab model card | |
| SimpleQA | 44.4% | #16 of 60 | Lab model card | |
| HallusionBench | 66.7% | #10 of 31 | Lab model card | |
| IFEval | 88.2% | #52 of 135 | Lab model card | |
| INCLUDE | 80% | #12 of 31 | Lab model card | |
| LMArena (Elo) | 1,395 | #137 of 335 | Official leaderboard | |
| MMLU-ProX | 80.6% | #10 of 23 | Lab model card | |
| SuperGPQA | 64.3% | #16 of 35 | Lab model card | |
| SimpleVQA | 61.3% | #19 of 30 | Lab model card | |
| Humanity's Last Exam | 13.6% | #127 of 154 | Lab model card | |
| SIFo | 77.3% | #1 of 1 | Lab model card |
Math and science
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| ZebraLogic | 97.3% | #1 of 23 | Lab model card | |
| HiPhO | 62.8% | #8 of 36 | Official leaderboard | |
| AIME 2025 | 89.7% | #51 of 143 | Lab model card | |
| GPQA Diamond | 77.1% | #136 of 302 | Lab model card | |
| PolyMath | 57.8% | #11 of 24 | Lab model card | |
| HMMT 2025 | 77.4% | #40 of 54 | Lab model card | |
| SGI-Bench | 28.3% | #12 of 15 | Official leaderboard |
Coding
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Design2Code | 93.4 | #1 of 2 | Lab model card | |
| LiveCodeBench v6 | 70.1% | #55 of 90 | Lab model card | |
| Codeforces rating | 1,964 | #29 of 47 | Lab model card | |
| OJBench | 27.5% | #13 of 16 | Lab model card | |
| ChartMimic | 78.4 | #1 of 1 | Lab model card |
Agents and tools
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| ScreenSpot | 95.4% | #1 of 11 | Lab model card | |
| Berkeley Function Calling Leaderboard (BFCL) | 71.9% | #12 of 41 | Lab model card | |
| OSWorld-G | 68.3% | #2 of 5 | Lab model card | |
| SnakeBench | 25 | #85 of 188 | Official leaderboard | |
| OSWorld | 38.1% | #7 of 13 | Lab model card | |
| OSWorld-MCP | 39.5% | #5 of 9 | Official leaderboard | |
| GameHorizon | 65.2 | #22 of 37 | Official leaderboard | |
| ScreenSpot-Pro | 61.8% | #21 of 32 | Lab model card | |
| AndroidWorld | 62% | #17 of 23 | Lab model card | |
| Windows Agent Arena | 32.1% | #4 of 5 | Lab model card | |
| MobileWorld | 9.49% | #16 of 18 | Official leaderboard | |
| GameWorld | 31.4% | #20 of 22 | Official leaderboard |
Vision, audio and robotics
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Math-VR | 66.8% | #1 of 26 | Official leaderboard | |
| DocVQA | 96.5% | #2 of 36 | Lab model card | |
| MMMU | 78.7% | #10 of 136 | Official leaderboard | |
| ChartQA | 90.3% | #4 of 37 | Lab model card | |
| OVO-S-Bench | 53.6% | #2 of 15 | Official leaderboard | |
| InfographicVQA | 89.5% | #4 of 26 | Lab model card | |
| RefAdv-S | 67.1% | #3 of 19 | Official leaderboard | |
| MuirBench | 80.1% | #2 of 12 | Lab model card | |
| MM-MT-Bench | 8.50 | #1 of 6 | Lab model card | |
| RefCOCO / RefCOCO+ / RefCOCOg | 92.4% | #5 of 29 | Lab model card | |
| MathVista | 85.8% | #13 of 70 | Lab model card | |
| OCRBench v2 | 66.8% | #5 of 22 | Lab model card | |
| RefSpatial-Bench | 69.9% | #4 of 16 | Lab model card | |
| MathVerse | 85% | #3 of 12 | Lab model card | |
| EmbSpatialBench | 84.3% | #5 of 16 | Lab model card | |
| WorldVQA | 22.3% | #7 of 22 | Official leaderboard | |
| VideoMME v2 (with subtitles) | 28.1% | #10 of 31 | Official leaderboard | |
| MMStar | 78.7% | #12 of 36 | Lab model card | |
| RoboSpatial-Home | 73.9% | #1 of 3 | Lab model card | |
| BLINK | 67.1% | #10 of 29 | Lab model card | |
| MVBench | 75.2% | #8 of 23 | Lab model card | |
| LogicVista | 72.2% | #5 of 14 | Lab model card | |
| CiteVQA | 22.5% | #6 of 16 | Official leaderboard | |
| OCRBench | 87.5% | #13 of 34 | Lab model card | |
| MMBench-EN v1.1 | 90.6% | #9 of 23 | Lab model card | |
| AI2D | 89.2% | #21 of 52 | Lab model card | |
| MMLongBench-Doc | 56.2% | #7 of 17 | Official leaderboard | |
| RealWorldQA | 81.3% | #16 of 38 | Lab model card | |
| CC-OCR | 81.5% | #6 of 14 | Lab model card | |
| VSI-Bench | 60% | #3 of 7 | Lab model card | |
| DynaMath | 82.8% | #10 of 23 | Lab model card | |
| ZeroBench | 27.7% | #14 of 31 | Lab model card | |
| CountBench | 93.7% | #14 of 28 | Lab model card | |
| Charades-STA | 63.5% | #2 of 4 | Lab model card | |
| MIA-Bench | 92.7% | #1 of 2 | Lab model card | |
| MATH-Vision (MathVision) | 74.6% | #26 of 51 | Lab model card | |
| MMVU | 71.1% | #14 of 26 | Lab model card | |
| ODinW-13 | 43.2% | #7 of 13 | Lab model card | |
| We-Math | 74.8% | #7 of 13 | Lab model card | |
| MLVU | 83.8% | #12 of 22 | Lab model card | |
| MADQA | 60.3% | #10 of 18 | Official leaderboard | |
| SUNRGBD | 34.9 | #5 of 9 | Lab model card | |
| CharXiv (DQ) | 90.5% | #4 of 7 | Lab model card | |
| VisuLogic | 34.4% | #4 of 7 | Lab model card | |
| MMMU-Pro | 69.3% | #52 of 90 | Lab model card | |
| Video Reality Test | 61.9% | #3 of 5 | Official leaderboard | |
| Video-MME | 79% | #31 of 51 | Lab model card | |
| Vision Arena | 1,188 | #86 of 136 | Official leaderboard | |
| Video-MMMU | 80% | #23 of 36 | Lab model card | |
| VisualPuzzles | 57.2% | #2 of 3 | Lab model card | |
| BabyVision | 22.2% | #19 of 27 | Official leaderboard | |
| V* | 85.9% | #12 of 17 | Lab model card | |
| ERQA | 52.5% | #26 of 36 | Lab model card | |
| LVBench | 63.6% | #23 of 31 | Lab model card | |
| GeoBench | 59% | #37 of 48 | Official leaderboard | |
| DISBench | 8.20% | #7 of 9 | Official leaderboard | |
| VLMs Are Blind | 79.5% | #11 of 14 | Lab model card | |
| CharXiv | 66.1% | #59 of 75 | Lab model card | |
| VisFactor | 20.4% | #22 of 26 | Official leaderboard | |
| Hypersim | 11.0 | #9 of 9 | Lab model card | |
| ARKitScenes | 53.7% | #1 of 1 | Lab model card | |
| MathVision-Wildphoto | 63.8% | #1 of 1 | Lab model card |
Other
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| LiveBench | 79.6% | #2 of 27 | Lab model card |
Its lab's numbers put it at 140.6, number 173 of 404
The Self-Reported Index fits one score to the 60 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 139.6 to 141.7. How we compute it.
- ZebraLogic 97.3
- DocVQA 96.5
- ScreenSpot 95.4
- CountBench 93.7
- MMLU-Redux 93.7
- RefCOCO / RefCOCO+ / RefCOCOg 92.4
- MMBench-EN v1.1 90.6
- MMLU 90.6
- ChartQA 90.3
- AIME 2025 89.7
- InfographicVQA 89.5
- AI2D 89.2
- IFEval 88.2
- OCRBench 87.5
- V* 85.9
- MathVista 85.8
- MathVerse 85
- EmbSpatialBench 84.3
- MLVU 83.8
- MMLU-Pro 83.8
- DynaMath 82.8
- CC-OCR 81.5
- RealWorldQA 81.3
- MMMU 80.6
- MMLU-ProX 80.6
- MuirBench 80.1
- Video-MMMU 80
- INCLUDE 80
- VLMs Are Blind 79.5
- Multi-IF 79.1
- Video-MME 79
- MMStar 78.7
- HMMT 2025 77.4
- GPQA Diamond 77.1
- MVBench 75.2
- We-Math 74.8
- Arena-Hard v2.0 74.8
- MATH-Vision (MathVision) 74.6
- LogicVista 72.2
- Berkeley Function Calling Leaderboard (BFCL) 71.9
- MMVU 71.1
- LiveCodeBench v6 70.1
- MMMU-Pro 69.3
- BLINK 67.1
- OCRBench v2 66.8
- HallusionBench 66.7
- CharXiv 66.1
- SuperGPQA 64.3
- LVBench 63.6
- AndroidWorld 62
- ScreenSpot-Pro 61.8
- SimpleVQA 61.3
- PolyMath 57.8
- MMLongBench-Doc 56.2
- SimpleQA 44.4
- ODinW-13 43.2
- OSWorld 38.1
- ZeroBench 27.7
- OJBench 27.5
- Humanity's Last Exam 13.6
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 |
|---|---|---|---|
| MMMU | 80.6% MMMU_VAL | 78.7% Leaderboard | +1.9 pts |
| MMMU-Pro | 69.3% MMMU_Pro | 68.1% Leaderboard | +1.2 pts |
| MATH-Vision (MathVision) | 74.6% MathVision | 74.6% Leaderboard, thinking | Same |
| Math-VR | 66.8% Math-VR (Table 2) | 66.8% Leaderboard, thinking | Same |
| MMLongBench-Doc | 56.2% MMLongBench-Doc | 56.2% Leaderboard, VL; 22B activated (235B total) | Same |
| RoboSpatial-Home | 73.9% RoboSpatialHome | 73.9% Leaderboard, thinking | Same |
| VisuLogic | 34.4% VisuLogic | 34.4% Leaderboard, thinking | Same |
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. 25 of them aren't in the launch post.
Capabilities
- MMMU 80.6
- MMMU-Pro 69.3
- MathVista 85.8
- MATH-Vision (MathVision) 74.6
- MathVision-Wildphoto 63.8
- We-Math 74.8
- MathVerse 85
- DynaMath 82.8
- Math-VR 66.8
- ZeroBench 4
- VLMs Are Blind 79.5
- LogicVista 72.2
- VisuLogic 34.4
- VisualPuzzles 57.2
- MMBench-EN v1.1 88.8
- MMBench-CN v1.1 88.6
- RealWorldQA 81.3
- MMStar 78.7
- SimpleVQA 61.3
- HallusionBench 66.7
- MM-MT-Bench 8.5
- MIA-Bench 92.7
- DocVQA 96.5
- InfographicVQA 89.5
- AI2D 89.2
- ChartQA 90.3
- OCRBench 87.5
- OCRBench v2
- CC-OCR 81.5
- OmniDocBench
- CharXiv (DQ) 90.5
- CharXiv 66.1
- MMLongBench-Doc 56.2
- RefCOCO / RefCOCO+ / RefCOCOg 92.1
- CountBench 93.7
- ODinW-13 43.2
- ARKitScenes 53.7
- Hypersim 11
- SUNRGBD 34.9
- ERQA 52.5
- VSI-Bench 60
- EmbSpatialBench 84.3
- RefSpatial-Bench 69.9
- RoboSpatial-Home 73.9
- BLINK 67.1
- MuirBench 80.1
- MVBench 75.2
- Video-MME 79
- MLVU 83.8
- LVBench 63.6
- Charades-STA 63.5
- Video-MMMU 80
- MMVU 71.1
- V* 85.9
- HR-Bench
- Design2Code 93.4
- ChartMimic 78.4
- ScreenSpot-Pro 61.8
- OSWorld-G 68.3
- AndroidWorld 62
- OSWorld 38.1
- Windows Agent Arena 32.1
- MMLU-Pro 83.8
- MMLU-Redux 93.7
- GPQA Diamond 77.1
- SuperGPQA 64.3
- AIME 2025 89.7
- HMMT 2025 77.4
- LiveBench 79.6
- LiveCodeBench v6 70.1
- Codeforces rating 1964
- OJBench 27.5
- IFEval 88.2
- Arena-Hard v2.0 74.8
- Creative Writing v3 85.7
- WritingBench 86.7
- Berkeley Function Calling Leaderboard (BFCL) 71.8
- tau2-bench
- Multi-IF 79.1
- MMLU-ProX 80.6
- INCLUDE 80
- PolyMath 57.8