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Ramp launches AI model routing service, Router, in the US

Corporate expense management platform Ramp has launched Router, an AI model routing service, allowing users to switch between large language models via an API.

  • Ramp's new service, Router, allows users to access and switch between various large language models through an API.
  • The service is currently free to use in the United States for the remainder of 2026, excluding AI model inference costs.
  • Router offers access to models from providers including OpenAI, Anthropic, and Nvidia, and provides strategies for routing AI requests.

Corporate expense management platform Ramp launched its AI model routing service, Router, on Wednesday evening. The service enables users and companies to utilise and switch between various large language models (LLMs) via an API.

Ramp stated it has been using this router internally for its own AI needs over the past three years. Router is currently available only in the United States and is free to use for the rest of 2026, though users must still cover AI model inference costs. A $26 credit launch offer is also included.

The service provides access to models from providers such as OpenAI, Anthropic, DeepSeek, Moonshot, Minimax, Nvidia, xAI, and Z.ai. Router also includes several strategies for customers to route AI requests based on preferences, such as setting preferences for model providers' flex usage tiers or routing difficult problems to more expensive models.

Users receive a dashboard to monitor details like token spend, cost, latency, and fallback attempts. Router has an opt-out data retention policy, recording model inputs, outputs, and tool calls for one year by default, with personally identifiable information removed before product improvement use.

Why this matters: Ramp's entry into AI model routing allows it to tap into the growing AI inference market and offer a new service that complements its existing expense management products, potentially building relationships with AI labs and providers.

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