Terminal-Bench — cost vs performance

Best current row per canonical model in the group “accuracy · variant=v4.0 · evaluator=Artificial Analysis” (114 models) against total parameters. The dashed line is the Pareto frontier: no model is both better and cheaper than a point on it.

← Leaderboard

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

open / restricted weights closed Pareto frontier (4 models)bubble = context window

Frontier models 4

Pareto frontier
Model	accuracy on Terminal-Bench	Rank	total parameters	Provider	Trust
GLM 5.3Z.ai (Zhipu AI) · Open weights	41.9%	5	753.3B	—	Independent
GLM 5.3 FlashZ.ai (Zhipu AI) · Open weights	32.8%	9	321.3B	—	Independent
Qwen3.8 27BQwen · Open weights	5.56%	33	27.8B	—	Independent
Qwen3 8BQwen · Open weights	0%	60	8.19B	—	Independent

Methodology. Points are the best current row per canonical model in comparability group 'accuracy · variant=v4.0 · 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.