MedDialBench - Reluctant: leaderboard

Metric: Diagnostic accuracy (%) over 85 OSCE cases (each cell counts whole cases out of 85) after a free-form consultation with a reluctant patient (disclosure, moderate), the final diagnosis judged correct or not by Qwen3-Max; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 5 models tracked.

Top models

#ModelScore
1Gemini 3.1 Pro (Preview)87.1
2Claude Opus 4.680
3GPT-5.4 (Non-reasoning)80
4DeepSeek V3.2 (Non-reasoning)68.2
5Qwen 3.5 Plus (Non-reasoning)64.7

Interactive version: theaggregate.ai/benchmark?slug=meddialbench-reluctant · How It Works · Data refreshed daily, snapshot 2026-10-07.