Wisedocs’ MLCR-AA leaderboard reveals top AI models for medical reasoning

If you’ve ever tried to read a 150-page medical file and piece together a coherent timeline of what happened to a patient, you already know it’s brutal. Now imagine asking an AI to do it. Turns out, most of them are pretty bad at it too. The MLCR-AA leaderboard, launched on August 21 by Artificial Analysis, ranks AI models on their ability to reason through lengthy, complex medical and insurance case files. Anthropic’s Claude Fable 5 claimed the top spot with a score of 64.4%. That might not sound like a gold-star performance, but when the median model on the leaderboard scores below 15%, it starts to look a lot more impressive. What the benchmark actually measures The MLCR-AA leaderboard draws from Wisedocs’ broader Medical Long Context Reasoning benchmark, which the company first introduced on June 18, 2026. The full benchmark includes 250 questions spread across six difficulty tiers, designed to simulate the kind of analytical grunt work that medical professionals and insurance claims adjusters do daily. The leaderboard specifically tests models on the two hardest tiers, Expert and Compound, using 60 synthetic medical and insurance case questions. The underlying case files avera...