Claude Sonnet 5.5 and GPT-6 Astra tie for top spot on MLCR-AA medical reasoning leaderboard

The two best AI models at reading long medical records now share first place. Their winning score is 41.7%. Artificial Analysis released an update to the MLCR-AA leaderboard on October 21, 2026. The update left Anthropic’s Claude Sonnet 5.5 and OpenAI’s GPT-6 Astra tied at the top, each with a 41.7% pass rate. The benchmark comes from Wisedocs, an insurtech platform focused on AI-assisted review of medical and insurance records. It is designed to measure something insurers care about: whether AI can do the record synthesis work claims professionals handle today. What the leaderboard actually shows The median score across models on MLCR-AA remains below 15%. The leaders are clearing a bar most of the field cannot reach at all. No model on the board breaks past 42%. The scoring also splits into more specific measures, and the leaders differ depending on which one you check. Claude Sonnet 5.5 tops the completeness metric at 64.8%. OpenAI’s GPT-6.1 Sol leads on accuracy at 96.7%. Those two figures tell different stories. Accuracy asks whether what the model says is right, while completeness asks whether it caught everything it should have. The leaderboard data points to Anthropic model...