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AI Atlas

LiveBench — cost vs performance

Best current row per canonical model in the group “global_average” (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 (3 models)bubble = context windowEstimated

Frontier models 3

Pareto frontier
Modelglobal_average on LiveBenchRankESTIMATED memory at 4-bit, 8K context (GB)ProviderTrust
Kimi K3Moonshot AI · Open weights79.2%101.6K GBest.Official board
DeepSeek V4 Flash Vision ExpDeepSeek · Open weights76.8%21175.7 GBest.Official board
Qwen3.8 27BQwen · Open weights75.3%3016.5 GBest.Official board

Methodology. Points are the best current row per canonical model in comparability group 'global_average'. 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.