Question

Your team runs a customer-support chat tool that classifies incoming messages into one of five intent categories. The task is simple and well-defined, but you process millions of messages per day and need responses in well under a second while keeping costs low. Accuracy on this narrow task is already excellent with smaller models. Which model-selection approach best fits these requirements?

Accepted Answer

Choose the fastest, most cost-efficient model in the Claude family, since the task is simple and prioritizes low latency and high volume.

Answer

Choose the most capable (largest) model in the Claude family to guarantee the highest possible classification accuracy.

Answer

Choose a model based solely on its maximum context window size, since larger context windows always reduce latency.

Answer

Alternate randomly between the largest and smallest models to balance cost and accuracy across requests.