Anthropic sweeps medical benchmark completeness top 18, Sonnet 5.5 leads at 64.8%

ArtificialAnlys · x · 2026-10-21

On Artificial Analysis' MLCR-AA completeness dimension, Claude models hold the top 18 scores across every model and effort level. Claude Sonnet 5.5 (max with fallback) leads at 64.8%, followed by Claude Opus 5.5 (max with fallback) at 63.3% and Claude Fable 5.1 (max with fallback) at 61.1%; the best non-Anthropic model is GPT-6 Astra (max) at just 42.2%.

Completeness means covering every key point of the expert reference answer, including the conclusion and the gaps in the record the expert reasons from.

Related event: MLCR-AA Medical Long-Context Benchmark Update: Claude Sonnet 5.5 Ties GPT-6 Astra at the Top(7 posts)→

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