τ²-bench — cost vs performance

Best current row per canonical model in the group “pass^1 · variant=Telecom · evaluator=Artificial Analysis” (308 models) against context window (tokens). 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 (5 models)bubble = context window

Frontier models 5

Pareto frontier
Model	pass^1 on τ²-bench	Rank	context window (tokens)	Provider	Trust
jt-35b-flashChina Mobile · Closed	99.1%	1	256K	—	Independent
GLM 4.7 FlashZ.ai (Zhipu AI) · Open weights	98.8%	3	200K	—	Independent
tri-21b-think-previewTrillion Labs · Open weights	93.3%	35	32K	—	Independent
R1 Distill Llama 70BDeepSeek · Open weights	21.9%	227	8.19K	—	Independent
solar-miniUpstage · Open weights	20.2%	237	4.1K	—	Independent

Methodology. Points are the best current row per canonical model in comparability group 'pass^1 · variant=Telecom · evaluator=Artificial Analysis'. 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.