High-volume classification and extraction where the cheapest adequate model wins.
The router maps a task to candidate models, then applies your policy: region first, then price, then the model with the better documented result.
Prefer the smallest model whose published scores clear your quality bar, and a shorter context window when the task does not need long input; price is the deciding term.