Pick Your First AI Model Based on Evidence, Not Brand Memory

Most teams choose a famous AI model first, then discover cost or latency issues later. A better approach is to test one low-cost candidate on a single task and inspect the request log before committing. Building a tiny model matrix with two candidates and one expected output shape yields clearer decisions than comparing many models at once.