QuestionQ12

Evaluation, Testing & Optimization

You are evaluating model-selection claims used by a peer team.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

Yes or No
StatementsYesNo
Heavier-reasoning models typically consume more of the rate limit and run more slowly than lighter models on the same input.
A representative-sample evaluation on the target workload is the right basis for confirming a model selection.
The most capable model is always the right choice regardless of the workload profile.
Tiered routing can serve routine traffic with a lighter model while reserving a heavier model for traffic that needs its capability.
Selecting a model based on which version was most recently announced is the right basis for production decisions.
Explanation

Higher reasoning effort trades increased latency and token use for deeper reasoning, so it can consume more rate-limit capacity. Model selection should be confirmed through evaluations that represent the production workload and its quality, latency, and cost requirements. The most capable model is not invariably appropriate: smaller models can be better for cost-sensitive or latency-sensitive routine work. Tiered routing appropriately directs simple requests to a lighter model and reserves a stronger model for complex requests. Announcement recency does not establish production suitability; measured performance on the target workload does.

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