Model Selector

AI model selection interface

What it solves

A Model Selector pattern helps teams create a reliable way to help users pick the right model or capability tier without making them decode internal provider terminology. It is most useful when teams need multi-model AI workbenches. Compared with adjacent patterns, this pattern should reduce friction without hiding the state, rules, or recovery paths people need to keep moving.

When to use

• Multi-model AI workbenches
• Speed-versus-quality tradeoffs
• Feature-gated AI interfaces

When to avoid