What is cost-aware artificial intelligence model routing?
Definition
Cost-aware artificial intelligence model routing incorporates price into the routing decision. It can estimate token, request, tool and session costs, then choose the least expensive eligible model that is expected to meet the task's quality and reliability requirements.
The goal is not always the lowest immediate price. A cheap model can increase retries or human correction, so routing evaluation should measure complete task cost and outcome quality on representative workloads.
Acronyms and aliases
cost-optimized model routing synonymcost-aware AI model routing variant
General terms
Frequently asked questions
How does cost-aware model routing save money?
It avoids sending every request to a premium model when a less expensive eligible model can meet the task requirements.
Can the cheapest model increase total cost?
Yes. Lower model price can be offset by retries, longer prompts, failed tasks or additional human correction.
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