How does prompt routing architecture decide which ChatGPT model variant to use in production?

Prompt routing selects different model variants based on task complexity, latency requirements, and cost constraints.

In production ChatGPT systems, not all requests are handled by the same model. A routing layer analyzes the incoming prompt using lightweight classifiers or heuristics to determine which model to use—such as a smaller fast model for simple queries or a larger reasoning model for complex tasks.

Routing decisions are based on features like prompt length, detected intent, safety risk, required reasoning depth, and user tier. This architecture optimizes cost and latency while preserving quality where needed.…