ClinTraceBench - Attribution Detection: leaderboard
Metric: Accuracy (%; task T3, controlled attribution detection: whether the dialogue attributes a finding to a problem, balanced yes/no, 600 questions; full-context strategy: the whole multi-visit patient-clinician dialogue derived from MIMIC-IV records is given verbatim, models called through OpenRouter). Source: arxiv.org. Saturation forecast: Estimated already saturated. 4 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | DeepSeek V3.1 | 93.8 |
| 2 | GPT-4o Mini | 93.1 |
| 3 | Claude Sonnet 4.6 | 88.5 |
| 4 | Claude Haiku 4.5 | 86.9 |
Interactive version: theaggregate.ai/benchmark?slug=clintracebench-attribution-detection · How It Works · Data refreshed daily, snapshot 2026-09-26.