Qwen
Qwen's Enhanced Large Visual Language Model. Significantly upgraded for detailed recognition capabilities and text recognition abilities, supporting ultra-high pixel resolutions up to millions of pixels and extreme aspect ratios for...
Running this yourself: can likely run on your own machine.
22.0
Quality Score
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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 sourceQwen-VL-Plus - Open VLM Leaderboard #192
MMMU_VAL: 39.8 | MathVista: 38.2 | OCRBench: 72.6 | MMBench_TEST_EN_V11: 64.3 | MME: 79.6 | AI2D: 65.7 | MMStar: 39.7 | HallusionBench: 40.6
View sourceQwen-VL-Plus - Open VLM Leaderboard #192
MMMU_VAL: 39.8 | MathVista: 38.2 | OCRBench: 72.6 | MMBench_TEST_EN_V11: 64.3 | MME: 79.6 | AI2D: 65.7 | MMStar: 39.7 | HallusionBench: 40.6
View sourceQwen-VL-Plus - Open VLM Leaderboard #192
MMMU_VAL: 39.8 | MathVista: 38.2 | OCRBench: 72.6 | MMBench_TEST_EN_V11: 64.3 | MME: 79.6 | AI2D: 65.7 | MMStar: 39.7 | HallusionBench: 40.6
View sourceQwen-VL-Plus - Open VLM Leaderboard #192
MMMU_VAL: 39.8 | MathVista: 38.2 | OCRBench: 72.6 | MMBench_TEST_EN_V11: 64.3 | MME: 79.6 | AI2D: 65.7 | MMStar: 39.7 | HallusionBench: 40.6
View sourceQwen-VL-Plus - Open VLM Leaderboard #192
MMMU_VAL: 39.8 | MathVista: 38.2 | OCRBench: 72.6 | MMBench_TEST_EN_V11: 64.3 | MME: 79.6 | AI2D: 65.7 | MMStar: 39.7 | HallusionBench: 40.6
View source