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AI Atlas

LiveBench — cost vs performance

Best current row per canonical model in the group “global_average” (57 models) against cheapest current input 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 (5 models)

Frontier models 5

Pareto frontier
Modelglobal_average on LiveBenchRankcheapest current input price (USD / 1M tokens)ProviderTrust
Claude Fable 5.1Anthropic · Closed83.4%1$5Anthropic APIOfficial board
Muse Spark 1.3Meta AI · Closed81.6%4$1.25OpenRouterOfficial board
DeepSeek-V4.1-FlashDeepSeek · Open weights81.1%5$0.15OpenRouterOfficial board
DeepSeek V4 Flash Vision ExpDeepSeek · Open weights76.8%21$0.11OpenRouterOfficial board
DeepSeek V4 Flash (0731)DeepSeek · Open weights74.2%34$0.04OpenRouterOfficial board

Methodology. Points are the best current row per canonical model in comparability group 'global_average'. 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.