1. There is no universal winner
A fast model can lose on accepted cost, while a premium model can save editing time. Define one primary workload before comparing.
CORE FORMULAEffective cost = attempt cost ÷ acceptance rate
2. Build a three-model shortlist
Include a value option, a quality option and a fallback. Test each with the same prompts and record accepted outputs per dollar.
3. Recheck operational limits
Rate limits, queues, geographic availability and content policies can decide whether an API works in production.
Models worth comparing next
Frequently asked questions
What metric matters most?
Cost per accepted output is usually more useful than cost per raw generation.
How often should a shortlist be reviewed?
Review after material price, model or endpoint changes.
Next step
Build your own workload plan, then save candidate models for comparison. Your plan stays in your browser.
Open workload planner →