MedPIC-Bench - Overall: leaderboard
Metric: Accuracy (%). Source: arxiv.org. 28 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) | 80.7 |
| 2 | GPT-5 | 75.6 |
| 3 | Qwen 3.5 Plus | 72.4 |
| 4 | DeepSeek V4 Pro | 71.7 |
| 5 | GPT-OSS-120B | 70.7 |
| 6 | Qwen 3.5 27B | 69.4 |
| 7 | Qwen 3.5 35B A3B | 68.5 |
| 8 | GPT-5.2 | 68.1 |
| 9 | Claude Sonnet 4.6 | 64.2 |
| 10 | Qwen 3.5 9B | 63.8 |
| 11 | Lingshu-32B | 59.5 |
| 12 | GPT-OSS-20B | 59.1 |
| 13 | Llama 3.1 70B | 55.7 |
| 14 | Gemini 2.5 Pro | 54.4 |
| 15 | Lingshu-7B | 43.3 |
Interactive version: theaggregate.ai/benchmark?slug=medpic-bench-overall · How It Works · Data refreshed daily, snapshot 2026-09-19.