Choosing which model to call for which task—trade quality, latency, and cost; often routed per-request rather than fixed globally.
Model selection is an engineering decision with measurable axes: accuracy on a golden dataset, p95 latency, $/1K tokens. Common pattern: route cheap tasks to Haiku/Flash/Mini, hard tasks to Opus/GPT-4/Pro.