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AI Atlas

Artificial Analysis Intelligence Index — cost vs performance

Best current row per canonical model in the group “index” (477 models) against cheapest current input 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 (8 models)

Frontier models 8

Pareto frontier
Modelindex on Artificial Analysis Intelligence IndexRankcheapest current input price (USD / 1M tokens)ProviderTrust
Claude Fable 5.1Anthropic · Closed53.41$5OpenRouterIndependent
Claude Opus 5Anthropic · Closed50.73$2.5OpenRouterIndependent
Muse Spark 1.3Meta AI · Closed48.25$1.25OpenRouterIndependent
gpt-5.6-solOpenAI · Closed47.16$1OpenRouterIndependent
GLM 5.3Z.ai (Zhipu AI) · Open weights44.97$0.70Z.ai APIIndependent
GLM 5.3 FlashZ.ai (Zhipu AI) · Open weights41.912$0.075Z.ai APIIndependent
Ling 3.0 FlashinclusionAI · Open weights24.979$0.021OpenRouterIndependent
Granite 4.0 MicroIBM · Open weights5.11449$0.017OpenRouterIndependent

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