Qwen
Qwen2.5-VL-32B is a multimodal vision-language model fine-tuned through reinforcement learning for enhanced mathematical reasoning, structured outputs, and visual problem-solving capabilities. It excels at visual analysis tasks, including object recognition, textual...
Running this yourself: likely needs a rented cloud gpu.
42.0
Quality Score
1121
Arena ELO
32B
Parameters
128K
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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Mar 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 sourceQwen2.5-VL-32B - Open VLM Leaderboard #32
MMMU_VAL: 68.9 | MathVista: 72.8 | OCRBench: 85.6 | MMBench_TEST_EN_V11: 84.7 | AI2D: 85.4 | MMStar: 70.3 | HallusionBench: 58.4
View sourceQwen2.5-VL-32B - Open VLM Leaderboard #32
MMMU_VAL: 68.9 | MathVista: 72.8 | OCRBench: 85.6 | MMBench_TEST_EN_V11: 84.7 | AI2D: 85.4 | MMStar: 70.3 | HallusionBench: 58.4
View sourceQwen2.5-VL-32B - Open VLM Leaderboard #32
MMMU_VAL: 68.9 | MathVista: 72.8 | OCRBench: 85.6 | MMBench_TEST_EN_V11: 84.7 | AI2D: 85.4 | MMStar: 70.3 | HallusionBench: 58.4
View sourceQwen2.5-VL-32B - Open VLM Leaderboard #32
MMMU_VAL: 68.9 | MathVista: 72.8 | OCRBench: 85.6 | MMBench_TEST_EN_V11: 84.7 | AI2D: 85.4 | MMStar: 70.3 | HallusionBench: 58.4
View source1121
ELO Score
1106 - 1136
95% Confidence
+/-15 points
1.5K
Battles
May 20, 2026
Last Updated