LLM Cost Routing: The Cheapest Passing Model Pattern
Routing each request to the cheapest model that passes its eval cuts inference spend 30 to 50 percent. Architecture, routing logic and eval discipline.
Read the piece ↗Token economics, routing, caching and the engineering choices that decide whether an AI feature ships sustainable economics or a runaway bill. For teams scaling past the prototype.
LLM Cost Routing: The Cheapest Passing Model Pattern
Routing each request to the cheapest model that passes its eval cuts inference spend 30 to 50 percent. Architecture, routing logic and eval discipline.
Read the piece ↗Routing each request to the cheapest model that passes its eval cuts inference spend 30 to 50 percent. Architecture, routing logic and eval discipline.
Stuffing context costs money on every call, even on tokens the model ignored. The discipline that keeps RAG context relevant, ranked and compressed.
Provider-side prompt caching cuts cached input cost by up to 90 percent. The pattern that earns the discount and the configurations that waste it.