Qwen
Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.
Running this yourself: likely needs a high-memory cloud gpu.
40.3
Quality Score
1122
Arena ELO
72B
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 sourceQwen2.5-VL-72B - Open VLM Leaderboard #16
MMMU_VAL: 68.2 | MathVista: 74.2 | OCRBench: 88.2 | MMBench_TEST_EN_V11: 88.3 | MME: 87.0 | AI2D: 88.5 | MMStar: 70.5 | HallusionBench: 54.6
View sourceQwen2.5-VL-72B - Open VLM Leaderboard #16
MMMU_VAL: 68.2 | MathVista: 74.2 | OCRBench: 88.2 | MMBench_TEST_EN_V11: 88.3 | MME: 87.0 | AI2D: 88.5 | MMStar: 70.5 | HallusionBench: 54.6
View sourceQwen2.5-VL-72B - Open VLM Leaderboard #16
MMMU_VAL: 68.2 | MathVista: 74.2 | OCRBench: 88.2 | MMBench_TEST_EN_V11: 88.3 | MME: 87.0 | AI2D: 88.5 | MMStar: 70.5 | HallusionBench: 54.6
View sourceQwen2.5-VL-72B - Open VLM Leaderboard #16
MMMU_VAL: 68.2 | MathVista: 74.2 | OCRBench: 88.2 | MMBench_TEST_EN_V11: 88.3 | MME: 87.0 | AI2D: 88.5 | MMStar: 70.5 | HallusionBench: 54.6
View source1122
ELO Score
1111 - 1133
95% Confidence
+/-11 points
3.8K
Battles
May 20, 2026
Last Updated