Intelligence bar
"Gemini 3 Pro equivalent intelligence" is defined as any commercially available model scoring the same as Gemini 3 Pro on ECI or better
Currently this is 154, but the bar will track any changes in ECI methodology that might change the 3 Pro score.
Cost
Cost is defined as the price for 1m input tokens plus 1m output tokens for the cheapest model that passes the quality bar, at the generally-available API pricing tier for that model.
At time of writing, 3-pro preview costs $2/Mtok input plus $12/Mtok output, so $14 is the reference cost basis.
E.g. a future qualifying model that costs $1/Mtok input plus $3/MTok output would resolve as 4/14 = 0.286... thus 0.2x-0.5x.
Fine print
Eligible models must be commercially available over a hosted API which is widely accepted as 'production quality'.
In the event that ECI no longer exists or is not kept up to date, I'll define equivalence based on the most widely accepted and standard general capability benchmark available.
In the event of exactly hitting the threshold between two buckets, the cost will count as being in the higher of the two buckets.