Qwen
Qwen VL Max is a visual understanding model with 7500 tokens context length. It excels in delivering optimal performance for a broader spectrum of complex tasks.
Running this yourself: can likely run on your own machine.
33.3
Quality Score
1086
Arena ELO
Unknown
Parameters
131K
Context
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has normalized benchmark rows, so scores here are directly comparable across benchmark sources.
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Feb 2025
Released
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct - SWE-Bench Verified
SWE-Bench Verified resolved rate 69.6
View sourcehttps://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct - SWE-Bench Verified
SWE-Bench Verified resolved rate 69.6
View sourceQwen-VL-Max - Open VLM Leaderboard #152
MMMU_VAL: 52.0 | MathVista: 43.6 | OCRBench: 68.4 | MMBench_TEST_EN_V11: 75.4 | MME: 81.5 | AI2D: 75.7 | MMStar: 49.5 | HallusionBench: 41.2
View sourceQwen-VL-Max - Open VLM Leaderboard #152
MMMU_VAL: 52.0 | MathVista: 43.6 | OCRBench: 68.4 | MMBench_TEST_EN_V11: 75.4 | MME: 81.5 | AI2D: 75.7 | MMStar: 49.5 | HallusionBench: 41.2
View sourceQwen-VL-Max - Open VLM Leaderboard #152
MMMU_VAL: 52.0 | MathVista: 43.6 | OCRBench: 68.4 | MMBench_TEST_EN_V11: 75.4 | MME: 81.5 | AI2D: 75.7 | MMStar: 49.5 | HallusionBench: 41.2
View sourceQwen-VL-Max - Open VLM Leaderboard #152
MMMU_VAL: 52.0 | MathVista: 43.6 | OCRBench: 68.4 | MMBench_TEST_EN_V11: 75.4 | MME: 81.5 | AI2D: 75.7 | MMStar: 49.5 | HallusionBench: 41.2
View source1086
ELO Score
1070 - 1102
95% Confidence
+/-16 points
1.4K
Battles
May 20, 2026
Last Updated