HealthAgentBench - CT Abnormality Classification: leaderboard
Metric: 3D chest CT abnormality classification (10 tasks; success when every abnormality label is correct): task success rate (%) over three attempts per task, a trial succeeding only when it meets the category success criterion; terminal environments in the Harbor framework, xhigh reasoning effort, web browsing disabled. Source: arxiv.org. Saturation forecast: Around 2030. 10 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.5 (xHigh) | 33 |
| 2 | GPT-5.4 (xHigh) | 30 |
| 3 | GPT-5.4 Mini (xHigh) | 23 |
| 4 | Claude Opus 4.8 (xHigh) | 17 |
| 5 | Claude Opus 4.7 (xHigh) | 13 |
| 6 | GPT-5.3 Codex (xHigh) | 10 |
Interactive version: theaggregate.ai/benchmark?slug=healthagentbench-ct-abnormality-classification · How It Works · Data refreshed daily, snapshot 2026-09-29.