- MMMUval 70.2
- MMMU_Pro 51.1
- MathVista_MINI 74.8
- MathVision_FULL 38.1
- Hallusion Bench 55.2
- MMBench_DEV_EN_V11 88
- AI2D_TEST 88.4
- ChartQA_TEST 89.5
- DocVQA_VAL 96.4
- MMStar 70.8
- MMVet_turbo 76.2
- OCRBench 885 (out of 1000) 88.5
- OCRBench-V2(en/zh) 61.5/63.7 61.5
- CC-OCR 79.8
- Best of VideoMME w sub. 79.1 / VideoMME w/o sub. 73.3 79.1
- MVBench 70.4
- MMBench-Video 2.02
- LVBench 47.3
- EgoSchema 76.2
- PerceptionTest_test 73.2
- MLVU_M-Avg_dev 74.6
- TempCompass_overall 74.8
- ScreenSpot 87.1
- ScreenSpot Pro 43.6
- AITZ_EM 83.2
- Android Control High_EM (Low_EM 93.7) 67.4
- AndroidWorld_SR 35
- MobileMiniWob++_SR 68
- OSWorld 8.83
Qwen2.5-VL-72B
Qwen2.5-VL-72B ranks first on 7 of the 124 benchmarks with five or more models scored.
Qwen2.5-VL-72B
Open weights Flagship
- MMMU-Pro 51.1% #78 /90
- MMVU 62.9% #22 /26
- HallusionBench 55.2% #27 /31
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 | |
|---|---|---|---|---|
| MMBench-CN v1.1 | 87.4% | #5 of 178 | Official leaderboard | |
| Stick to Your Role! | 0.90 | #1 of 15 | Official leaderboard | |
| Kaleidoscope | 52.9% | #1 of 7 | Official leaderboard | |
| SimpleVQA | 49.4% | #2 of 13 | Official leaderboard | |
| Video SimpleQA | 39.5% | #5 of 27 | Official leaderboard | |
| Creation-MMBench | -5.82 | #4 of 19 | Official leaderboard | |
| IFEval | 86.3% | #68 of 135 | Lab model card | |
| MMLU-Pro | 71.2% | #119 of 167 | Lab model card | |
| MMLU-Redux | 85.9% | #35 of 45 | Lab model card | |
| HallusionBench | 55.2% | #27 of 31 | Lab model card |
Math and science
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| GSM8K | 95.3% | #11 of 92 | Lab model card | |
| MATH | 83% | #20 of 99 | Lab model card | |
| GPQA Diamond | 49% | #251 of 302 | Lab model card | |
| HiPhO | 29% | #30 of 36 | Official leaderboard |
Coding
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| HumanEval | 87.8% | #28 of 101 | Lab model card | |
| MultiPL-E | 79.5% | #5 of 18 | Lab model card | |
| SArena | 0.84 | #6 of 17 | Official leaderboard | |
| ArtifactsBench (Gemini 2.5 Pro 0506 judge) | 31.7% | #18 of 18 | Official leaderboard |
Agents and tools
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| BrowseComp-VL | 11.5% | #1 of 4 | Official leaderboard | |
| WARC-Bench | 37.3% | #3 of 8 | Official leaderboard | |
| ScienceBoard | 12.9% | #8 of 15 | Official leaderboard | |
| ScreenSpot | 87.1% | #7 of 11 | Lab model card | |
| SnakeBench | 20 | #136 of 188 | Official leaderboard | |
| AndroidWorld | 62.9% | #7 of 9 | Official leaderboard | |
| MM-BrowseComp | 1.75% | #9 of 11 | Official leaderboard | |
| ScreenSpot-Pro | 43.6% | #30 of 32 | Lab model card | |
| OSWorld-Verified | 5.00% | #32 of 33 | Official leaderboard | |
| OSWorld | 8.83% | #13 of 13 | Lab model card | |
| OSWorld-MCP | 15.6% | #9 of 9 | Official leaderboard | |
| AndroidControl | 67.4% | #2 of 2 | Lab model card | |
| Android in the Zoo (AitZ) | 83.2% | #1 of 1 | Lab model card | |
| MobileMiniWoB++ | 68% | #1 of 1 | Lab model card |
Professional work
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| BizFinBench | 67.5% | #4 of 13 | Official leaderboard | |
| MedXpertQA-MM | 29.9% | #7 of 9 | Official leaderboard | |
| MedXpertQA | 23.4% | #4 of 4 | Official leaderboard |
Vision, audio and robotics
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| SEED-Bench-2-Plus | 73.8% | #1 of 136 | Official leaderboard | |
| A-Bench | 81% | #1 of 116 | Official leaderboard | |
| MMBench-EN v1.1 | 88.3% | #2 of 178 | Official leaderboard | |
| CoreCognition | 68.3% | #2 of 119 | Official leaderboard | |
| MMBench | 88.3% | #3 of 155 | Official leaderboard | |
| All-Angles Bench | 55.7% | #1 of 18 | Official leaderboard | |
| MM-Vet | 76.9% | #10 of 164 | Official leaderboard | |
| VHELM | 78.0 | #3 of 41 | Official leaderboard | |
| DocVQA | 96.4% | #3 of 36 | Lab model card | |
| EgoSchema | 76.2% | #1 of 12 | Lab model card | |
| CharXiv (DQ) | 87.4% | #7 of 67 | Official leaderboard | |
| EmbodiedBench EB-ALFRED | 39.7% | #2 of 17 | Official leaderboard | |
| MMBench-Video | 1.84 | #4 of 28 | Official leaderboard | |
| VLADBench | 58% | #1 of 7 | Official leaderboard | |
| CCBench (MMBench Chinese Culture) | 73.9% | #22 of 152 | Official leaderboard | |
| We-Math | 49.1% | #4 of 21 | Official leaderboard | |
| OCR-Reasoning | 37.5% | #3 of 15 | Official leaderboard | |
| VRBench | 61.7% | #4 of 19 | Official leaderboard | |
| SpatialViz-Bench | 35% | #3 of 14 | Official leaderboard | |
| ChartQA | 89.5% | #8 of 37 | Lab model card | |
| VCR-Bench | 37.9% | #2 of 9 | Official leaderboard | |
| CrossVid | 34.4% | #3 of 13 | Official leaderboard | |
| MMSI-Bench | 30.7% | #7 of 28 | Official leaderboard | |
| LEGO-Puzzles | 46.6% | #4 of 16 | Official leaderboard | |
| CSVQA | 38.5% | #3 of 12 | Official leaderboard | |
| CRPE | 79.2% | #1 of 4 | Lab model card | |
| InfographicVQA | 87.3% | #7 of 26 | Lab model card | |
| EMMA | 38.6% | #2 of 7 | Official leaderboard | |
| TextVQA | 83.5% | #5 of 17 | Lab model card | |
| OCRBench | 88.5% | #11 of 34 | Lab model card | |
| MME | 2448.0 | #2 of 6 | Lab model card | |
| MMMU | 64.5% | #48 of 136 | Official leaderboard | |
| Point-Bench | 59% | #6 of 17 | Official leaderboard | |
| VideoReasonBench | 7.20% | #5 of 14 | Official leaderboard | |
| MORSE-500 | 17.8% | #4 of 11 | Official leaderboard | |
| EmoBench-M | 57.8% | #6 of 15 | Official leaderboard | |
| EmbodiedBench EB-Habitat | 37.7% | #7 of 17 | Official leaderboard | |
| EmbodiedBench EB-Navigation | 40% | #7 of 17 | Official leaderboard | |
| VisualPuzzles | 42.2% | #12 of 29 | Official leaderboard | |
| MathCanvas-Bench | 21.1% | #7 of 16 | Official leaderboard | |
| Progress-Bench | 32.9 | #4 of 9 | Official leaderboard | |
| EmbodiedBench EB-Manipulation | 16.2% | #8 of 17 | Official leaderboard | |
| MM-HELIX | 20.1% | #8 of 17 | Official leaderboard | |
| MeasureBench Real-world | 14.5% | #9 of 19 | Official leaderboard | |
| AI2D | 88.7% | #26 of 52 | Lab model card | |
| MME-CC | 23.6% | #6 of 12 | Official leaderboard | |
| MM-MT-Bench | 7.60 | #3 of 6 | Lab model card | |
| Perception Test MCVQA | 73.2% | #3 of 6 | Lab model card | |
| MME-RealWorld | 63.2% | #2 of 4 | Lab model card | |
| OmniAI OCR Benchmark | 75.2% | #2 of 4 | Official leaderboard | |
| VideoMME v2 (with subtitles) | 22.1% | #16 of 31 | Official leaderboard | |
| BLINK | 64.4% | #15 of 29 | Lab model card | |
| MathVista | 74.8% | #37 of 70 | Lab model card | |
| CountBench | 93.6% | #15 of 28 | Lab model card | |
| OCRBench v2 | 61.5% | #12 of 22 | Lab model card | |
| MME-Reasoning | 34.1% | #6 of 11 | Official leaderboard | |
| RealWorldQA | 75.7% | #21 of 38 | Lab model card | |
| MeasureBench Synthetic | 11.7% | #11 of 19 | Official leaderboard | |
| RefAdv-S | 54% | #11 of 19 | Official leaderboard | |
| Video-MME | 79.1% | #30 of 51 | Lab model card | |
| ODinW-13 | 43.1% | #8 of 13 | Lab model card | |
| VisuLogic | 26.2% | #11 of 17 | Official leaderboard | |
| MuirBench | 70.7% | #8 of 12 | Lab model card | |
| MTVQA-Test | 31.7% | #4 of 6 | Lab model card | |
| VCR (Visual Caption Restoration) | 79.8% | #2 of 3 | Lab model card | |
| RoboRewardBench | 0.99 | #15 of 22 | Official leaderboard | |
| SpaCE-10 | 38.7% | #25 of 36 | Official leaderboard | |
| GeoBench | 62% | #34 of 48 | Official leaderboard | |
| GSM8K-V | 21.9% | #17 of 24 | Official leaderboard | |
| CC-OCR | 79.8% | #10 of 14 | Lab model card | |
| OmniDocBench v1.5 | 87.0 | #8 of 11 | Official leaderboard | |
| Charades-STA | 50.9% | #3 of 4 | Lab model card | |
| Math-VR | 13.7% | #20 of 26 | Official leaderboard | |
| MMStar | 70.8% | #28 of 36 | Lab model card | |
| MVBench | 70.4% | #18 of 23 | Lab model card | |
| Video Reality Test | 58.9% | #4 of 5 | Official leaderboard | |
| Vision Arena | 1,121 | #110 of 136 | Official leaderboard | |
| MMLongBench-Doc | 35.2% | #14 of 17 | Official leaderboard | |
| MotionBench | 56.1% | #10 of 12 | Official leaderboard | |
| MMVU | 62.9% | #22 of 26 | Lab model card | |
| MLVU | 74.6% | #19 of 22 | Lab model card | |
| MMMU-Pro | 51.1% | #78 of 90 | Lab model card | |
| OmniVideoBench | 29.5% | #7 of 8 | Official leaderboard | |
| ViVerBench | 66.1% | #7 of 8 | Official leaderboard | |
| SpatialWorld Physical | 3.40% | #8 of 9 | Official leaderboard | |
| LongVideoBench | 60.7% | #10 of 11 | Lab model card | |
| MathVerse | 57.6% | #11 of 12 | Lab model card | |
| CharXiv | 49.7% | #70 of 75 | Lab model card | |
| LVBench | 47.3% | #29 of 31 | Lab model card | |
| MATH-Vision (MathVision) | 38.1% | #48 of 51 | Lab model card | |
| ClockBench | 6.10% | #35 of 37 | Official leaderboard | |
| Video-MMMU | 60.2% | #35 of 36 | Lab model card | |
| VisFactor | 10.9% | #26 of 26 | Official leaderboard | |
| SpatialWorld Digital | 7.60% | #9 of 9 | Official leaderboard | |
| TempCompass | 74.8% | #7 of 7 | Lab model card | |
| MEGA-Bench | 51.3% | #1 of 1 | Lab model card |
Safety and security
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| nocot-bench (NCRI) | 65.2 | #120 of 185 | Official leaderboard | |
| Video-SafetyBench | 2.40 | #11 of 15 | Official leaderboard |
Other
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| OpenVLM Leaderboard | 76.1 | #8 of 173 | Official leaderboard | |
| LiveBench | 57% | #17 of 27 | Lab model card |
Its lab's numbers put it at 128.2, number 288 of 404
The Self-Reported Index fits one score to the 42 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 126.4 to 129.9. How we compute it.
- DocVQA 96.4
- GSM8K 95.3
- CountBench 93.6
- ChartQA 89.5
- AI2D 88.7
- OCRBench 88.5
- MMBench-EN v1.1 88.4
- HumanEval 87.8
- InfographicVQA 87.3
- ScreenSpot 87.1
- IFEval 86.3
- MMLU-Redux 85.9
- TextVQA 83.5
- MATH 83
- CC-OCR 79.8
- MultiPL-E 79.5
- Video-MME 79.1
- EgoSchema 76.2
- RealWorldQA 75.7
- MathVista 74.8
- MLVU 74.6
- MMLU-Pro 71.2
- MMStar 70.8
- MuirBench 70.7
- MVBench 70.4
- MMMU 70.2
- BLINK 64.4
- MMVU 62.9
- OCRBench v2 61.5
- LongVideoBench 60.7
- Video-MMMU 60.2
- MathVerse 57.6
- HallusionBench 55.2
- MMMU-Pro 51.1
- CharXiv 49.7
- GPQA Diamond 49
- LVBench 47.3
- ScreenSpot-Pro 43.6
- ODinW-13 43.1
- MATH-Vision (MathVision) 38.1
- AndroidWorld 35
- OSWorld 8.83
Its lab's numbers next to 14 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 |
|---|---|---|---|---|
| AndroidWorld | 35% AndroidWorld_SR | 62.9% Leaderboard, MobileUse | −28 pts | The lab evaluates Qwen's visual agent, while the board pairs Qwen2.5-VL-72B with the MobileUse agent. |
| ScreenSpot-Pro | 43.6% ScreenSpot Pro | 53.3% Leaderboard | −9.7 pts | |
| MMBench-Video | 2.02 MMBench-Video | 1.84 Leaderboard, 64 frames | +0.18 | The lab allowed up to 768 video frames, while the board evaluated the model with 64 frames. |
| MMMU | 70.2% MMMUval | 64.5% Leaderboard | +5.7 pts | |
| MMMU-Pro | 51.1% MMMU_Pro | 46.2% Leaderboard | +4.9 pts | |
| SEED-Bench-2-Plus | 73% SEED-Bench-2-Plus (Table 5) | 73.8% Leaderboard | −0.8 pts | |
| MM-Vet | 76.2% MMVet turbo (Table 3) | 76.9% Leaderboard | −0.7 pts | |
| MMBench | 88.6% MMBench-EN test 88.6, MMBench-CN test 87.9 (Table 3) | 88.3% Leaderboard | +0.3 pts | |
| MMStar | 70.8% MMStar | 70.5% Leaderboard | +0.3 pts | |
| MMBench-EN v1.1 | 88.4% MMBench-V1.1-EN test (Table 3) | 88.3% Leaderboard | Same | |
| Video-MMMU | 60.2% Video-MMMU (Table 8) | 60.2% Leaderboard | Same | |
| CharXiv | 49.7% CharXiv RQ (Table 5) | 49.7% Leaderboard | Same | |
| CharXiv (DQ) | 87.4% CharXiv DQ (Table 5) | 87.4% Leaderboard, validation; descriptive questions | Same | |
| MATH-Vision (MathVision) | 38.1% MathVision_FULL | 38.1% Leaderboard | 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. 34 of them aren't in the launch post.
Capabilities
- MMMU 70.2
- MMMU-Pro 51.1
- MathVista 74.8
- MATH-Vision (MathVision) 38.1
- MathVerse 57.6
- MEGA-Bench 51.3
- MMBench 88.6
- MMBench-EN v1.1 88.4
- MMStar 70.8
- MME 2448
- MuirBench 70.7
- BLINK 64.4
- CRPE 79.2
- HallusionBench 55.2
- MTVQA-Test 31.7
- RealWorldQA 75.7
- MME-RealWorld 63.2
- MM-Vet 76.2
- MM-MT-Bench 7.6
- MMLU-Pro 71.2
- MMLU-Redux 85.9
- LiveBench 57
- GPQA Diamond 49
- MATH 83
- GSM8K 95.3
- HumanEval 87.8
- MultiPL-E 79.5
- IFEval 86.3
- CC-OCR 79.8
- OmniDocBench
- AI2D 88.7
- TextVQA 83.5
- DocVQA 96.4
- InfographicVQA 87.3
- ChartQA 89.5
- CharXiv 49.7
- CharXiv (DQ) 87.4
- SEED-Bench-2-Plus 73
- OCRBench 88.5
- VCR (Visual Caption Restoration) 79.8
- OCRBench v2
- RefCOCO / RefCOCO+ / RefCOCOg
- ODinW-13 43.1
- CountBench 93.6
- Video-MME 73.3
- Video-MMMU 60.2
- MMVU 62.9
- MVBench 70.4
- MMBench-Video 2.02
- LongVideoBench 60.7
- LVBench 47.3
- EgoSchema 76.2
- Perception Test MCVQA 73.2
- MLVU 74.6
- TempCompass 74.8
- Charades-STA 50.9
- ScreenSpot 87.1
- ScreenSpot-Pro 43.6
- AndroidControl 67.4
- AndroidWorld 35
- MobileMiniWoB++ 68
- OSWorld 8.83