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Medical Visual Question Answering on VQA-Med 2019

62.2AccuracyGPT-5
35.99242.79649.656.404Mar 2, 2026

Evaluation results

MethodLinks
GPT-5Source Type=Proprietary2026.0362.2
CARE-Coord-BSource Type=Open-source2026.0360.8
HuatuoGPT-Vision-34BSource Type=Open-source, Parameters=34B2026.0360.6
CARE-Coord-SSource Type=Open-source2026.0360.6
GPT-4oSource Type=Proprietary2026.0359.6
InternVL3-38BSource Type=Open-source, Parameters=38B2026.0358.8
Lingshu-7BSource Type=Open-source, Parameters=7B2026.0358.8
Lingshu-32BSource Type=Open-source, Parameters=32B2026.0358.2
Llama-3.2-11B-VisionSource Type=Open-source, Parameters=11B2026.0357.4
InternVL3-8BSource Type=Open-source, Parameters=8B2026.0357.4
HuatuoGPT-Vision-7BSource Type=Open-source, Parameters=7B2026.0357.2
CARE-Flow-BSource Type=Open-source, Parameters=10B2026.0356.6
CARE-Flow-SSource Type=Open-source, Parameters=4B2026.0353.6
DeepEyes-7BSource Type=Open-source, Parameters=7B2026.0352.2
Qwen2.5-VL-32BSource Type=Open-source, Parameters=32B2026.0351.6
Qwen2.5-VL-7BSource Type=Open-source, Parameters=7B2026.0350.6
medgemma-27bSource Type=Open-source, Parameters=27B2026.0348.4
medgemma-4bSource Type=Open-source, Parameters=4B2026.0347.4
MedVLM-R1-2BSource Type=Open-source, Parameters=2B2026.0345.4
llava-med-v1.5-mistral-7bSource Type=Open-source, Parameters=7B2026.0337