Small 7B Medical Model Beats Big LLMs with Structured Agentic Workflow
Researchers built the DeepLens Diagnosis Agent, a five‑stage pipeline that pairs a 7 B medical reasoning model with retrieval‑augmented generation. On the 915‑case DiagnosisArena benchmark it hits 60.1 % top‑1 accuracy—outperforming Claude Sonnet 4.5 and Gemini 3.1 Pro while costing far less. The result shows workflow design can rival model size for high‑stakes medical diagnosis.