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LiveBench Agentic Coding — cost vs performance

Best current row per canonical model in the group “average score · variant=Agentic Coding” (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 (4 models)bubble = total parameters

Frontier models 4

Pareto frontier
Modelaverage score on LiveBench Agentic CodingRankcheapest current output price (USD / 1M tokens)ProviderTrust
DeepSeek-V4.1-FlashDeepSeek · Open weights77.3%1$0.60OpenRouterOfficial board
DeepSeek V4 Flash Vision ExpDeepSeek · Open weights65.1%4$0.33OpenRouterOfficial board
GLM 5.3 FlashZ.ai (Zhipu AI) · Open weights56.8%21$0.25OpenRouterOfficial board
DeepSeek V4 Flash (0731)DeepSeek · Open weights46.8%40$0.08DeepSeek APIOfficial board

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