Med-R2 - Image Quality: leaderboard
Metric: Accuracy (%) on the Med-R2 Image Quality task (judging the quality and acquisition of the medical image), 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) | 63.7 |
| 2 | Qwen 3 VL 235B A22B | 54.2 |
| 3 | GPT-4o | 53 |
| 4 | Qwen 2.5 VL 7B Instruct | 49.3 |
| 5 | MedGemma-4B | 24.2 |
Interactive version: theaggregate.ai/benchmark?slug=med-r2-image-quality · How It Works · Data refreshed daily, snapshot 2026-10-07.