DeepSeek-V4 Pro (none)

deepseek/deepseek-v4-pro

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	16	521.67	$0.0166	$0.00003182	rating point	2026-04-24
Code	ALE-Bench	34	1006.08	$0.148062	$0.0001472	rating point	2026-04-24

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