AI/TLDR

Ramp · 2026-08-19 · major

Ramp Router — an LLM gateway that cut customer inference bills 40% on average

Ramp Router is an LLM gateway that takes one API call and sends it to the cheapest model that still meets your quality bar. Ramp says customers on it spend 40% less on inference on average. Routing is free through 2026.

Ramp logo from the Router.com launch announcement

Ramp Router takes one API call and forwards it to the model that meets your quality bar at the lowest price.

Key specs

Avg. customer cost cut40%

Quick facts

MakerRamp
What it isOne API endpoint that routes to many model providers
Providers at launchOpenAI, Anthropic, SpaceXAI, Nvidia, Kimi, DeepSeek, GLM, Qwen
API compatibilityOpenAI and Anthropic APIs
Routing priceFree through 2026, plus $26 in credits
AvailabilityUnited States, individual developers and teams
Reliability99.9%+ across production traffic

What is it?

Router opens Ramp's internal model-routing layer to outside developers, announced on 19 August 2026 after three years of in-house use. One endpoint accepts a request and forwards it to a model from OpenAI, Anthropic, DeepSeek, Nvidia, Kimi, GLM or Qwen, with Gemini, AWS, Together AI, Baseten and Crusoe listed as coming. Ramp is best known as a corporate spend platform, and Router hooks model choice into the same spend visibility.

How does it work?

Routing strategies decide where each request goes. You set cost and performance priorities per request type, or start from Ramp's benchmarked defaults. New models are scored on Ramp SWE-Bench, a benchmark built from Ramp's own production tasks, and the gateway layers on caching, compression and request timing — more than 100 optimizations in all. When a provider fails or rate-limits, Router falls back to another model on its own.

Why does it matter?

Teams paying several model providers usually write their own routing, fallback and cost-tracking code. Router replaces that with one endpoint that speaks the OpenAI and Anthropic APIs, plus a dashboard for token spend, cost and latency. Ramp cut roughly 30% off its own inference bill at the same output quality, and the routing layer costs nothing through 2026, so the main switching cost is integration time.

Who is it for?

engineering teams paying several model providers

Frequently asked questions

How much does Ramp Router cost?
Ramp Router charges nothing for routing through the end of 2026. Customers pay list price for the tokens they consume from the underlying model providers, and new accounts get $26 in free credits to start. Ramp has not announced what the routing layer will cost from 2027 onward.
Can I bring my own provider API keys to Ramp Router?
Ramp Router supports bring-your-own-key setups, so an existing OpenAI or Anthropic contract keeps working through the gateway. Router also ships a side-by-side comparison tool for putting two models against the same request, which is how Ramp expects teams to sanity-check a routing strategy before pointing production traffic at it.
Where can I use Ramp Router?
Ramp Router is open to individual developers and teams in the United States, and Ramp says more countries are coming. Anthropic's head of platform engineering, Katelyn Lesse, is quoted in the launch announcement saying Claude is available through Router from day one.
What happens if a model provider goes down?
Ramp Router falls back to another model automatically when a provider fails or rate-limits a request, so the calling application does not have to handle the retry. Ramp reports better than 99.9% reliability across its production traffic on the service.
Does Ramp Router keep my prompts?
Ramp Router records model inputs, outputs and tool calls for one year by default, and the retention setting can be opted out of. Ramp says it strips personally identifiable information from that content before using it to improve the product.

Try it

Sign up at https://router.com and read the API docs at https://docs.router.com

Sources · 4 outlets

Tags

  • llm-gateway
  • model-routing
  • ramp
  • router
  • api
  • cost-optimization
  • inference
  • developer-tools
  • fallbacks
  • openai
  • anthropic

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