Model switching can happen manually when a user selects another model or automatically when software routes a request elsewhere. Reasons include quality, tone, safety behavior, cost, speed, availability, privacy requirements, or fit for a particular task.
Switching is easier when prompts, data, evaluations, and application interfaces are portable. Features tied closely to one provider can create practical switching costs even when another model is technically available.
ELI5
Model switching means choosing a different AI model when the current one no longer fits. It is similar to changing tools because another option is faster, more useful, less expensive, or better suited to the job.
For example, a user might move from one assistant to another after repeated answers use an unwanted tone. A company can make switching easier by testing several models and avoiding features that work with only one provider.
