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LiveBench Language — cost vs performance

Best current row per canonical model in the group “average score · variant=Language” (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 (7 models)bubble = context window

Frontier models 7

Pareto frontier
Modelaverage score on LiveBench LanguageRankcheapest current output price (USD / 1M tokens)ProviderTrust
Claude Fable 5Anthropic · Closed90.7%1$25OpenRouterOfficial board
Claude Opus 5Anthropic · Closed88.7%4$12.5Anthropic APIOfficial board
Gemini 3.8 FlashGoogle · Closed87.8%5$1.88Google Gemini APIOfficial board
DeepSeek-V4-Pro-0813DeepSeek · Open weights82.1%20$1.73OpenRouterOfficial board
DeepSeek-V4.1-FlashDeepSeek · Open weights81.2%22$0.60DeepSeek APIOfficial board
DeepSeek V4 Flash Vision ExpDeepSeek · Open weights80.4%23$0.33DeepSeek APIOfficial board
DeepSeek V4 Flash (0731)DeepSeek · Open weights79.2%30$0.08DeepSeek APIOfficial board

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