CureMed-Bench: leaderboard
Metric: Logical accuracy (%; share of final answers a GPT-4o judge matches to the reference answer, pooled over 1,431 held-out open-ended medical questions in 13 languages; zero-shot). Source: arxiv.org. Saturation forecast: Around December 2026. 49 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 Mini | 80.57 |
| 2 | Claude 3 Haiku | 73.31 |
| 3 | GPT-5 Nano | 73.24 |
| 4 | Llama 3.3 70B Instruct | 60.8 |
| 5 | Qwen 2.5 72B Instruct | 58.8 |
| 6 | Gemini 2.5 Flash | 54.79 |
| 7 | Llama 3.1 70B | 54.65 |
| 8 | Qwen 2.5 32B Instruct | 49.69 |
| 9 | Qwen 3 32B | 48.57 |
| 10 | Ministral 8B | 42.87 |
| 11 | Qwen 2.5 14B Instruct | 41.79 |
| 12 | DeepSeek R1 Distill Qwen 32B | 40.27 |
| 13 | Qwen 3 14B | 38.62 |
| 14 | Gemma 2 9B | 36.97 |
| 15 | DeepSeek R1 Distill Qwen 14B | 33.18 |
Interactive version: theaggregate.ai/benchmark?slug=curemed-bench · How It Works · Data refreshed daily, snapshot 2026-09-26.