Ramp launches Router, an AI model routing service it has been using internally over the past three years, in the US; Router is free to use for the rest of 2026
Context & Ripple Effects
Ramp is taking an internally used routing system into the U.S. market as model selection becomes a product category in its own right. The move follows Runway's media-focused router launch and reports that Meta is building its own cost-oriented routing system.
OpenRouter's reported growth to 25T weekly tokens across more than 400 models, alongside its $113M raise, shows that routing has already become a sizable independent layer rather than merely an internal engineering function. OpenRouter's scale gives Ramp a well-established reference point as it opens Router to outside users.
First-order effects
- U.S. users can use Ramp Router without charge through the end of 2026, while Ramp turns a tool it had operated internally for three years into an external service.
- Ramp now competes for routing workloads with OpenRouter and newer specialized offerings such as Runway Media Router.
Second-order effects
- Free access raises pressure on routing providers to differentiate on model coverage, routing quality, or specialization rather than access alone.
- Meta's Switchboard effort and Ramp's launch make cost-conscious model selection a product capability that more AI application builders may seek to own internally.
Third-order effects
- If routing systems continue moving from internal tooling to standalone services, the model-routing control plane becomes a strategic layer between application developers and model providers, with route share shaping which models receive demand.
The trend: AI model routing is emerging as a competitive control layer for managing cost and performance across a growing set of models.