Interactive learning lab
Choose the right AI · guide 1 of 3

The model-selection arena

Selection lab · BriefingScene 1 / 5

Choose the task before the model

Separate family, tier and operating constraint.

Choose the task before the model ready.

Thefastestwaytoimprove?

Model rankings move quickly, but the decision structure is stable. Simple high-volume work rewards speed and cost. Hard consequential work rewards capability. Private or offline workloads may reward control. The right default is the cheapest archetype that passes representative cases.

Task fit beats leaderboard rank.
Tier can matter as much as provider.
A fixed eval makes switching evidence-based.