Start with the work. Then choose the model.
Model rankings become useful only after you define the task, the failure cost, and the constraint that cannot move.
Build and maintain software
Choose models for planning, editing, review, tool use, and long-context repository work.
Solve constrained, high-stakes work
Compare reasoning depth, consistency, speed, and the cost of more deliberate inference.
Operate at production volume
Set a quality floor, model your token mix, and route work without paying frontier prices for every request.
Run models on your own terms
Evaluate open weights, local hardware, privacy boundaries, and self-hosting overhead.
Three questions before the leaderboard.
- 01
What must the model do reliably? Define a quality floor using your own representative tasks.
- 02
What cannot change? Name the budget, latency, privacy, context, or provider constraint.
- 03
What evidence would change the choice? Compare the relevant metric and verify it against current sources.