Med-R2: leaderboard
Metric: Overall average accuracy (%) over the Image Quality, Anatomy, Lesion and Joint QA tasks of Med-R2, zero-shot with system prompts; each task mixes equal numbers of positive, negative and neutral adversarial question forms; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 14 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.2 (Thinking) | 67.4 |
| 2 | Qwen 3 VL 235B A22B | 60.6 |
| 3 | GPT-4o | 55.4 |
| 4 | Qwen 2.5 VL 7B Instruct | 53.3 |
| 5 | MedGemma-4B | 34.6 |
Interactive version: theaggregate.ai/benchmark?slug=med-r2 · How It Works · Data refreshed daily, snapshot 2026-10-07.