How Smart Model Routing Can Cut LLM Costs 10X
ByteByteGo Newsletter ● Covered by 4 sources
Smart model routing sends each LLM request to a smaller model when the task is simple and to a more capable model when it is difficult, instead of sending everything to the most expensive model. The article claims this can cut LLM API costs by around 10X when most requests are handled by the cheaper model. As a result, systems can lower token spend and keep response quality similar, but they must reliably judge request difficulty using task type, risk, context needs, and output constraints.
Why it matters
Smart routing sends routine requests to cheaper models and reserves stronger ones for difficult or high-risk work. In one example workload, the routed system cost just 11% as much as using the most capable model for every request, and the guide compares routing methods to avoid wasted spend and weak routing.