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AI Atlas

LiveBench Data Analysis — cost vs performance

Best current row per canonical model in the group “average score · variant=Data Analysis” (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
Modelaverage score on LiveBench Data AnalysisRankcheapest current input price (USD / 1M tokens)ProviderTrust
gpt-6-astraOpenAI · Closed83.0%1$5OpenAI APIOfficial board
gpt-5.5OpenAI · Closed81.6%2$2.5OpenAI APIOfficial board
gpt-5.6-solOpenAI · Closed79.8%6$1OpenRouterOfficial board
DeepSeek V4 Flash Vision ExpDeepSeek · Open weights79.5%8$0.11OpenRouterOfficial board
DeepSeek V4 Flash (0731)DeepSeek · Open weights79.3%9$0.04OpenRouterOfficial board

Methodology. Points are the best current row per canonical model in comparability group 'average score · variant=Data Analysis'. 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.