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Clinical Visual Question Answering on GMAI-MMBench standard MCQA

47AccuracyQwen2.5-VL-72B
33.37636.91340.4543.987Jun 15, 2026

Evaluation results

MethodLinks
Qwen2.5-VL-72BModel Scale=Large (>35B)2026.06477266.367.565.765.866.661.261.220.531.230.228.126.419.726.123.1
Qwen2.5-VL-32BModel Scale=Medium (8B–35B)2026.0644.16759.358.861.561.859.86059.522.619.920.332.830.317.62316.9
GPT-4.1-MiniModel Scale=Large (>35B)2026.064364.262.863.357.157.262.95756.839.843.239.442.639.641.541.839.7
LLaVA-OV-8BModel Scale=Small (≤8B)2026.0642.863.660.461.461.76260.458.458.320.343.732.427.925152019.8
Qwen2-VL-7BModel Scale=Small (≤8B)2026.0642.465.664.665.263.963.765.763.263.612.613.512.926.928.712.526.826.6
Qwen2.5-VL-7BModel Scale=Small (≤8B)2026.0642.263.66061.960.960.959.959.158.921.12519.234.132.816.924.323.2
MedGemma-27BModel Scale=Medium (8B–35B)2026.0639.355.154.254.656.156.253.953.453.653.118.727.33935.31932.329.8
LLaVA-v1.6-34BModel Scale=Medium (8B–35B)2026.06396762.364.662.863.262.459.158.821.248.835.930.828.118.624.323.1
MedGemma-4BModel Scale=Small (≤8B)2026.0637.257.853.953.350.850.853.951.651.655.946.743.959.459.244.952.252.1
LLaVA-v1.6-7BModel Scale=Small (≤8B)2026.0635.562.160.26159.559.660.259.459.322.227.520.532.930.920.930.926.7
Molmo-72BModel Scale=Large (>35B)2026.0635.259.851.349.755.755.851.354.95534.611.915.844.441.914.424.110.8
Molmo-7BModel Scale=Small (≤8B)2026.0633.949.148.64954.955.148.155.154.933.324.726.945.144.122.821.415