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LiveBench Coding — cost vs performance

Best current row per canonical model in the group “average score · variant=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 (5 models)bubble = context window

Frontier models 5

Pareto frontier
Modelaverage score on LiveBench CodingRankcheapest current output price (USD / 1M tokens)ProviderTrust
Claude Fable 5.1Anthropic · Closed86.4%1$25Anthropic APIOfficial board
gpt-5.6-solOpenAI · Closed83.9%3$5OpenAI APIOfficial board
gpt-5.6-lunaOpenAI · Closed82.9%5$0.60OpenAI APIOfficial board
GLM 5.3 FlashZ.ai (Zhipu AI) · Open weights79.0%19$0.25Z.ai APIOfficial board
DeepSeek V4 Flash (0731)DeepSeek · Open weights75.0%40$0.08OpenRouterOfficial board

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