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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 ESTIMATED memory at 4-bit, 8K context (GB). 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 = context windowEstimated

Frontier models 4

Pareto frontier
Modelaverage score on LiveBench CodingRankESTIMATED memory at 4-bit, 8K context (GB)ProviderTrust
Kimi K3Moonshot AI · Open weights81.4%101.6K GBest.Official board
Z.ai GLM 5.2Z.ai (Zhipu AI) · Open weights79.7%16433.7 GBest.Official board
GLM 5.3 FlashZ.ai (Zhipu AI) · Open weights79.0%19185.3 GBest.Official board
Qwen3.8 27BQwen · Open weights75.7%3816.5 GBest.Official 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.