Router

One API endpoint that routes every LLM call to the cheapest capable model

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About

Router is Ramp's unified API for large language model inference. Instead of wiring separate integrations to OpenAI, Anthropic, xAI, and open-source providers, you point your code at one endpoint with one key, and Router decides which model handles each request.

The routing is cost-aware: every request is matched to the cheapest model that clears your performance threshold, so simple background tasks do not burn frontier-model tokens. Ramp says teams save around 40 percent on inference spend on average.

Because Router sits on top of Ramp's financial engine, token usage maps back to teams and budgets instead of disappearing into one shared bill. The routing layer is free through 2026, and new accounts get model credits to start.

AI-assisted draft, human-reviewed before publishing — see how we choose & review tools.

Why we picked it

Router earns its spot for being cost-aware by design — matching every request to the cheapest model that still clears your performance threshold is worth naming against gateways that only handle failover, leaving the cost-optimization decision entirely up to you.