What is Router by Ramp?
Router by Ramp is an AI inference routing layer that puts every model behind a single endpoint and a single bill. Instead of hard-coding one provider, you send each request through Router, which matches it to the lowest-cost model that still meets your performance needs. Ramp reports average inference cost reductions of around 40%, with automatic fallbacks, request-level observability, built-in privacy controls, and zero data retention on eligible models.
Key capabilities
- One key, every model — Access closed and open-source models from vetted providers, all US-hosted, with ZDR options on eligible models.
- Automatic cost savings — New cost-saving strategies roll into Router as they prove themselves, so your integration stays put while defaults get smarter.
- Flex tier and Switchyard — Flexible routing tiers let you trade a little latency for materially lower spend.
- Observability and control — Request-level metrics cover cost, turns, input and output tokens, and per-model spend, so engineering and finance share one view.
- Built for production — Automatic fallbacks and live latency and failure-rate signals keep workloads running as models change.
Who it is for
Router is aimed at teams that run serious AI workloads: CTOs who want the best model for each job, and CFOs who want lower inference spend. Ramp itself routes trillions of tokens monthly through the product and reports cutting its own LLM costs by roughly 30% without sacrificing performance.
Getting started
Grab an API key, point your existing calls at the Router endpoint, and let routing handle model selection. New users can claim $26 in model credits with free routing through 2026.
