MedRepBench - Explanation Acceptability: leaderboard

Patient-facing explanations of de-identified Chinese medical report images, written from the image alone; MedRepBench (Shang et al., 2025). Acceptability rate in percent: the share of explanations a DeepSeek-R1 judge scores 1 or 2 on a 0-2 scale for factual grounding, reasoning and clarity; higher is better.

Metric: Acceptability rate (%; share of patient-facing explanations a DeepSeek-R1 judge scores 1 or 2 on a 0-2 scale for factuality, reasoning and clarity; VLM on the report image only). Source: arxiv.org. Saturation forecast: Estimated already saturated. 9 models tracked.

Top models

#ModelScoreOverall rank
1Llama 4 Maverick60.78#1105
2InternVL3-38B51.15#905
3InternVL3-8B48.24#1695
4InternVL3-14B47#1184
5Llama 4 Scout46.84#1787
6Qwen 2.5 VL 7B26.21#1796

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=medrepbench-explanation-acceptability · How It Works · Data refreshed daily, snapshot 2026-11-12.