AutoMedBench - Report Generation: leaderboard

The report generation track of AutoMedBench (2026), which asks an LLM agent to complete end-to-end medical-AI research tasks built from public challenge datasets: five chest X-ray and pathology report-generation tasks. Each run is scored 0 to 100 as the mean of the held-out result (the mean of BLEU, METEOR, ROUGE-L, F1RadGraph and micro precision, recall and F1) and a five-stage workflow score (plan, setup, validate, inference, submit), averaged over the Lite and Standard tiers. Higher is better.

Metric: Overall run score (0-100) on the report generation track (5 chest X-ray and pathology report tasks): the mean of the held-out task score (mean of BLEU, METEOR, ROUGE-L, F1RadGraph and micro precision, recall and F1, scaled to 0-100) and the workflow agentic score (Plan, Setup, Validate, Inference and Submit stages weighted 25/15/35/15/10, LLM judge for the first three); each model is the single agent of the benchmark harness (shared code-execution interface, system prompt, tool schema and default decoding; no vendor agent framework), runs averaged over the Lite and Standard tiers; higher is better. Source: arxiv.org. Saturation forecast: Around February 2027. 6 models tracked.

Top models

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=automedbench-report-generation · How It Works · Data refreshed daily, snapshot 2026-11-13.