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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 context window (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 (13 models)bubble = total parameters

Frontier models 13

Pareto frontier
Modelindex on Artificial Analysis Intelligence IndexRankcontext window (tokens)ProviderTrust
Claude Fable 5.1Anthropic · Closed53.411MIndependent
Grok 4.6xAI · Closed44.48500KIndependent
motif-3Motif Technologies · Open weights33.636262.1KIndependent
apodex-1-1Apodex · Closed30.446256KIndependent
Claude Opus 4.5Anthropic · Closed29.151200KIndependent
Ling 3.0 Flash VLinclusionAI · Open weights24.883131.1KIndependent
deepseek-v3-2-specialeDeepSeek · Open weights14.5163128KIndependent
tri-21b-think-previewTrillion Labs · Open weights9.5924132KIndependent
R1 Distill Llama 70BDeepSeek · Open weights7.892918.19KIndependent
gpt-4OpenAI · Closed6.703508.19KIndependent
solar-miniUpstage · Open weights6.413694.1KIndependent
arctic-instructSnowflake · Open weights5.444224KIndependent
llama-65bMeta AI · Open weights5.034522.05KIndependent

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.