An AI model router is a layer that reads an incoming request and automatically decides which AI model (or models) should handle it, then sends each part to the best fit — instead of forcing the user to pick a single model up front.
No single model is best at everything. One is the strongest writer, another has the longest context, another is fastest or cheapest, and image, audio and video are entirely separate models. A router removes the guesswork: it classifies intent and matches each piece of the task to the model that will do it best.
An aggregator simply puts many models behind one login (you still choose). A router chooses for you. Orchestration goes one step further — running several models in parallel on one request and combining their outputs. A strong AI command layer does all three.
Terminal X is an AI model router: type 'write a launch email and a matching header image,' and it routes the copy to a top text model and the image to a dedicated image model, runs them together, and returns one finished result — no model selection required.
Not quite — an aggregator gives you access to many models but you still choose one; a router chooses the best model for each request automatically.
Or skip the comparison shopping: Terminal X routes one prompt to the right model automatically — and runs several in parallel when a job needs more than one.