GPT-5.4 nano (high)

openai/gpt-5.4-nano-20260317

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	13	1004.52	$0.027084	$0.00002696	rating point	2026-03-17
Reason	ProofBench	1	0.05	$0.015894	$0.3179	correct answer	2026-03-17

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