MedProbeBench (Deep Research Agents) - Claim Recall: leaderboard
Metric: Task success rate (x100): share of the expert guideline atomic claims that the generated guideline covers (semantic matching, deduplicated), for deep research agents on MedProbeBench: each system writes a complete clinical guideline for 50 WHO-classification tumor entities (one run per task), compared with the expert guideline; higher is better. Source: arxiv.org. Saturation forecast: Around July 2027. 7 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Sonar Deep Research | 44.7 |
| 2 | O4 Mini Deep Research | 44.4 |
| 3 | Tongyi DeepResearch 30B A3B | 18.9 |
Interactive version: theaggregate.ai/benchmark?slug=medprobebench-deep-research-agents-claim-recall · How It Works · Data refreshed daily, snapshot 2026-10-07.