GPT-5 nano (high)

openai/gpt-5-nano-20250807

Every ranked configuration of this model. Rank is dollars per unit of score on that job, and the unit is the job's own — the `per` column names it, because a rating point and a solved task are not the same thing to divide by. Displayed values are rounded; exact values in site.json and the dumps.
job	benchmark	#	score	task $	ratio $	per	released
Code	ALE-Bench	5	718.67	$0.007194	$0.00001001	rating point	2025-08-07
Reason	ProofBench	2	0.12	$0.049218	$0.4102	correct answer	2025-08-07

These are the numbers on #frontier. How a fixed capability's cost falls over time is on /methodology.