Checkup2Action: leaderboard
Clinical check-up reports are multimodal documents that combine page layouts, tables, numerical biomarkers, abnormality flags, imaging findings, and domain-specific terminology. Such heterogeneous evidence is difficult for laypersons to interpret and translate into concrete follow-up actions. Although large language models show promise in medical summarisation and triage support, their ability to
Metric: Prob. rec. (problem recall) (self-reported). Source: benchmarklist.com. Saturation forecast: Around February 2027. 8 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 3 Pro (Preview) | 60.2 | #66 |
| 2 | GPT-5.1 | 52.7 | #135 |
| 3 | GPT-5 Nano | 44.9 | #425 |
| 4 | Claude Sonnet 4.5 | 42 | #142 |
| 5 | Gemini 2.5 Flash | 41.3 | #245 |
| 6 | Grok 4.1 Fast | 40.8 | #217 |
| 7 | Qwen 3 VL 8B Instruct | 33.1 | #420 |
| 8 | Claude Haiku 4.5 | 24.6 | #280 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=checkup2action · How It Works · Data refreshed daily, snapshot 2026-10-20.