Kimi K3.1 scores 55 on Artificial Analysis, placed on the Pareto line
24 October 2026 · filed under fe92d46aed82
Moonlight Labs’ Kimi K3.1 has registered a score of 55 on Artificial Analysis’s composite intelligence index, according to the benchmarking site’s published model page. The placement sets the model on the Pareto frontier, the curve tracing systems that offer the best capability available for their cost or speed, as calculated by Artificial Analysis’s methodology.
The result was surfaced and discussed on Hacker News, where the model’s benchmark page circulated among readers tracking comparative standings across the current field of large language models.
Artificial Analysis aggregates performance across a battery of standardized tasks into a single index number, which it uses to rank models against one another and against measures of price and throughput. A Pareto placement indicates that no other model in the comparison set beats K3.1 on both capability and efficiency simultaneously, though models elsewhere on the frontier may trade one advantage for the other.
No additional detail on the specific tasks comprising the score, the testing conditions, or comparative figures for rival models was available in the cited material. The Specola notes the figure as reported, without independent verification of Artificial Analysis’s underlying methodology or of Moonlight Labs’ deployment claims.
The bulletin records the benchmark as published. Further context awaits fuller disclosure from either the benchmarking site or the model’s developers.