# Runway Media Router: Handling Model Selection > Source: > Published: 2026-07-23 11:04:41+00:00 # Runway Media Router: Handling Model Selection Picking the right generative model for every single API call is becoming a logistical nightmare as the number of specialized video and image models explodes. Runway just released a "Media Router" to solve this, essentially acting as an intelligent middleware that switches between models based on specific constraints. For anyone building a production AI workflow, this removes the need to build a custom routing layer to manage model deprecations or performance dips across different providers. It transforms model selection from a static configuration into a dynamic parameter. Instead of hardcoding a specific model ID into my workflow, I can now set a priority flag. The router handles the logic based on three main levers: **Quality:** Routes to the highest-fidelity model regardless of latency.**Speed:** Prioritizes the fastest inference time for real-time applications.**Cost:** Selects the most budget-friendly model that meets the minimum requirement. For anyone building a production AI workflow, this removes the need to build a custom routing layer to manage model deprecations or performance dips across different providers. It transforms model selection from a static configuration into a dynamic parameter. I'm curious to see how the "Quality" vs "Speed" trade-off actually performs in real-world deployment, especially for high-resolution video where the latency gap between models is usually massive. [Next AegisAI: Fighting AI Spear Phishing with $36M →](/en/threads/2232/) ## All Replies （3） Z Does it support dynamic weighting or just a static mapping for the routing? 0 S Wonder if this handles fallback logic if a specific model hits a rate limit. 0 P Been manually swapping endpoints for weeks now, this should save me a ton of time. 0