Comparison framework

Compare AI API costs without false precision

A cheap input rate can be expensive in production if output length, context, retries or tool usage are ignored. Compare the same workload across providers, then validate the final rate at the primary source.

Use one workload for every comparison

1. Fix the same input, output target, context size and region.
2. Include model-specific cache, batch and tool charges.
3. Model retries and quality evaluation before choosing on price alone.
4. Record the source URL and date—published prices change.

Framework reviewed 2026-08-13.