Every test has a boundary
A benchmark captures performance on a particular collection of tasks under particular conditions. Small changes in prompts, context, tool access or evaluation criteria can alter the result.
A model that shines on coding puzzles may not be the best choice for a regulated workflow that demands careful citations and consistent formatting.
Build your own evaluation set
The most useful evaluation cases come from actual work: difficult customer questions, messy invoices, multilingual documents, and examples where previous systems failed. A representative test set should include ordinary cases as well as outliers.
Human reviewers should check correctness, completeness and whether the model appropriately expresses uncertainty.
Watch the economics
Accuracy at any price is not always the right objective. Total cost includes latency, token usage, tool calls, infrastructure and the expense of handling mistakes.
A responsible comparison reports both capability and operating conditions.