A Model Router decides which AI model to use for a specific task based on factors like prompt type, required capability, confidence score, or cost. Rather than routing every request to the most powerful model, it sends each request to the most appropriate one.
A claims processing pipeline that uses a lightweight model for classification, a mid-size model for extraction, and a large model only for the final assessment summary is balancing accuracy, speed, and cost intelligently across the workflow. Using the most expensive model for every step would produce the same quality at much higher cost and latency.
