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AI Atlas

LiveBench Reasoning — cost vs performance

Best current row per canonical model in the group “average score · variant=Reasoning” (57 models) against context window (tokens). The dashed line is the Pareto frontier: no model is both better and cheaper than a point on it.

open / restricted weights closed Pareto frontier (6 models)bubble = context window

Frontier models 6

Pareto frontier
Modelaverage score on LiveBench ReasoningRankcontext window (tokens)ProviderTrust
gpt-6-astraOpenAI · Closed92.7%11.05MOfficial board
Claude Fable 5.1Anthropic · Closed91.7%21MOfficial board
Grok 4.6xAI · Closed90.5%7500KOfficial board
gpt-5.2OpenAI · Closed83.2%35400KOfficial board
Kimi K2.7 CodeMoonshot AI · Open weights82.8%36262.1KOfficial board
Claude Opus 4.5Anthropic · Closed80.1%41200KOfficial board

Methodology. Points are the best current row per canonical model in comparability group 'average score · variant=Reasoning'. Price = cheapest current offer across providers (the provider shown). Pareto frontier maximises the score and minimises x; exact ties are all kept. memory_estimate is an estimate (see /methodology). Only the selected comparability group is plotted; points under other configurations are not mixed in. Price = cheapest current offer across providers at the time of the last crawl. Nothing is estimated except where marked.