model routing
A model routing strategy that dynamically dispatches requests to different AI models according to task type, latency requirements, or cost budget, in order to optimize performance and cost.
Timeline (last 90 days)
Multi-model composition (model ensemble / routing) dispatches different models by task type, which can form complementary blind-spot coverage, at the cost of increased integration complexity and latency.
Cost per completed task should be measured rather than cost per token, on the premise that the runtime actively performs model routing.
An open-source interaction layer decouples "how to speak" from "who does the thinking," which is conceptually aligned with the idea of model routing.
All Facts (3)
Multi-model composition (model ensemble / routing) dispatches different models by task type, which can form complementary blind-spot coverage, at the cost of increased integration complexity and latency.
50%UnverifiedCost per completed task should be measured rather than cost per token, on the premise that the runtime actively performs model routing.
50%UnverifiedAn open-source interaction layer decouples "how to speak" from "who does the thinking," which is conceptually aligned with the idea of model routing.
50%