MedPIC-Bench - Rule Activation: leaderboard
Metric: Accuracy (%). Source: arxiv.org. 28 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) | 74.6 |
| 2 | GPT-5 | 70.4 |
| 3 | Qwen 3.5 35B A3B | 70.4 |
| 4 | DeepSeek V4 Pro | 67.6 |
| 5 | Qwen 3.5 27B | 67.6 |
| 6 | Qwen 3.5 Plus | 66.2 |
| 7 | Gemini 2.5 Pro | 63.4 |
| 8 | GPT-5.2 | 63.4 |
| 9 | Llama 3.1 70B | 63.4 |
| 10 | Claude Sonnet 4.6 | 62 |
| 11 | GPT-OSS-120B | 62 |
| 12 | Lingshu-32B | 60.6 |
| 13 | Gemma 3 12B | 57.7 |
| 14 | Qwen 3.5 9B | 54.9 |
| 15 | Llama 3.1 8B | 54.9 |
Interactive version: theaggregate.ai/benchmark?slug=medpic-bench-rule-activation · How It Works · Data refreshed daily, snapshot 2026-09-19.