Author: Sheraz Shahid

An LLM router is a layer that inspects each incoming prompt and sends it to the model best suited to answer it a frontier model for the hard ones, a cheaper or open-source model for the easy majority. The economic case is blunt: peer-reviewed work from UC Berkeley’s RouteLLM showed routers hitting 85% cost reduction while preserving 95% of GPT-4 quality by sending only the hardest queries to the expensive model. That gap between “what your prompts need” and “what you’re paying for” is the entire reason routing exists and it’s why gateways like OrcaRouter bundle routing across 200+ models…