When a Smaller Model Is the Right Call

There is a reflex to reach for the biggest model for every task. It is expensive, slower, and often no better for the job in front of you.

Pick the smallest thing that clears the bar

Classifying a support ticket does not need a frontier model. Neither does extracting a few fields from a form. A small model, sometimes running on your own hardware, does it faster and cheaper, and you keep the data in house.

How we decide

• Write the eval first, then find the smallest model that passes it.
• Weigh cost and latency, not just accuracy.
• Reserve the big models for open-ended reasoning where they earn their keep.

The payoff

Once you match model size to task, your bill drops and your responses get faster. Nobody using the product cares which model answered. They care that the answer was right and quick.