The best Anthropic model for reasoning over long inputs is Claude Sonnet 5, scoring 70.7% on long-context reasoning — a different question from how large a window it accepts. Claude Opus 4.7 (70.3%) and Claude Opus 5 (70.0%) round out the top three.
AI models ranked by LCR — reasoning accuracy over long inputs, not just the size of the window they accept. A large context window is a capacity claim; this is the measurement of whether the model can still reason over information buried deep inside it. Pair it with the longest-context ranking, which sorts on raw window size.
The best Anthropic model for reasoning over long inputs is Claude Sonnet 5, scoring 70.7% on long-context reasoning — a different question from how large a window it accepts. Claude Opus 4.7 (70.3%) and Claude Opus 5 (70.0%) round out the top three.
Claude Opus 4.7 (70.3%) is the closest alternative on this metric, followed by Claude Opus 5 (70.0%). See the full ranking above for the tradeoffs.
modelgrep tracks 17 Anthropic models with live benchmarks, speed, latency and per-provider pricing, led on intelligence by Claude Opus 5. 13 of them qualify for this ranking.