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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 cheapest current output price (USD / 1M 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 = total parameters

Frontier models 6

Pareto frontier
Modelaverage score on LiveBench ReasoningRankcheapest current output price (USD / 1M tokens)ProviderTrust
gpt-6-astraOpenAI · Closed92.7%1$25OpenAI APIOfficial board
gpt-5.6-solOpenAI · Closed91.7%3$5OpenRouterOfficial board
Muse Spark 1.2Meta AI · Closed90.0%9$4.25OpenRouterOfficial board
Gemini 3.8 FlashGoogle · Closed89.3%13$1.88Google Gemini APIOfficial board
Qwen3.8 FlashQwen · Open weights87.4%21$0.47OpenRouterOfficial board
DeepSeek V4 Flash (0731)DeepSeek · Open weights86.6%25$0.08OpenRouterOfficial 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.