LiveBench — cost vs performance

Best current row per canonical model in the group “global_average” (57 models) against total parameters. The dashed line is the Pareto frontier: no model is both better and cheaper than a point on it.

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XOutput price Input price Parameters Context Memory (est.)Scalelog linearBubblecontext params none

open / restricted weights closed Pareto frontier (3 models)bubble = context window

Frontier models 3

Pareto frontier
Model	global_average on LiveBench	Rank	total parameters	Provider	Trust
Kimi K3Moonshot AI · Open weights	79.2%	10	2.78T	—	Official board
DeepSeek V4 Flash Vision ExpDeepSeek · Open weights	76.8%	21	304.6B	—	Official board
Qwen3.8 27BQwen · Open weights	75.3%	30	27.8B	—	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.