MedProbeBench - Claim Recall: leaderboard

Metric: Task success rate (x100): share of the expert guideline atomic claims that the generated guideline covers (semantic matching, deduplicated), for LLMs with search tools 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 2028. 10 models tracked.

Top models

#ModelScore
1GPT-5.235.3
2Claude Sonnet 434.2
3GPT-534
4Gemini 3 Flash (Preview)31.9
5Claude Sonnet 4 (Thinking)31.8
6GPT-4.130.1
7Grok 429.6

Interactive version: theaggregate.ai/benchmark?slug=medprobebench-claim-recall · How It Works · Data refreshed daily, snapshot 2026-10-07.