The best inclusionAI model for reasoning over long inputs is Ring-2.6-1T, scoring 64.3% on long-context reasoning — a different question from how large a window it accepts. Ling-2.6-1T (34.7%) and Ling-2.6-flash (25.0%) 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 inclusionAI model for reasoning over long inputs is Ring-2.6-1T, scoring 64.3% on long-context reasoning — a different question from how large a window it accepts. Ling-2.6-1T (34.7%) and Ling-2.6-flash (25.0%) round out the top three.
Ling-2.6-1T (34.7%) is the closest alternative on this metric, followed by Ling-2.6-flash (25.0%). See the full ranking above for the tradeoffs.
modelgrep tracks 4 inclusionAI models with live benchmarks, speed, latency and per-provider pricing, led on intelligence by Ring-2.6-1T. 3 of them qualify for this ranking.