MedSNIP-Bench: leaderboard
Metric: False-class F1 (%; F1 on false snippets among the 2,524 human-annotated snippets of 276 consumer-health and clinical-vignette answers, 13.6% false; each snippet verified on its own from parametric knowledge (claim-only mode); same prompt for every verifier). Source: arxiv.org. Saturation forecast: Around 2032. 6 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.4 (High) | 43.1 |
| 2 | GPT-4o | 40.1 |
| 3 | GPT-OSS-20B | 40.1 |
| 4 | Gemma 4 31B (IT) | 38.9 |
| 5 | Llama 3.3 70B Instruct | 33.1 |
| 6 | Llama 3.1 8B Instruct | 27.8 |
Interactive version: theaggregate.ai/benchmark?slug=medsnip-bench · How It Works · Data refreshed daily, snapshot 2026-09-26.