The first thing to accept when you point an evaluation harness at a free model endpoint is that you are not changing a benchmark, you are changing the environment. Most score drops that appear immediately after the switch are not evidence of a weaker model; they are evidence that the harness was optimized for a specific combination of prompt wording, output shape, parameter defaults, and retry behavior, and that combination silently changed under you. The first regression is usually ...