Ramp Launches Router for AI Model Routing and Cost Control

Corporate expense management company Ramp is moving deeper into AI infrastructure with its Router product. This new service gives developers and businesses access to multiple large language models through a single API.

Ramp says it built the routing technology for its own AI needs and has used it internally for about three years. Router is initially available only in the United States and will be free through the end of 2026, although customers still pay the underlying model inference costs. New users also receive $26 in credits.

One API for multiple AI models

Router supports models from OpenAI, Anthropic, DeepSeek, Moonshot, MiniMax, Nvidia, xAI and Z.ai. Developers can switch between providers without having to integrate each model separately.

The service also offers routing strategies based on cost, performance and task difficulty. Customers can prioritise flexible pricing tiers, choose models based on their selected benchmarks, or send only more difficult requests to the more expensive models.

A dashboard tracks token spending, latency, fallback attempts and other usage data, giving engineering and finance teams a clearer view of AI costs.

AI spending fits Ramp’s existing business

Router extends Ramp’s expense-management strategy into AI inference, an increasingly important operating cost for companies using multiple models. The service gives Ramp another way to help businesses monitor how much they spend on AI and where that spending goes.

One important consideration is data retention. Router stores model inputs, outputs, and tool calls for 1 year by default, though users can opt out. Ramp says it removes personally identifiable information before using retained content to improve the product.

Competition in AI routing is growing

Ramp enters a market already served by platforms such as OpenRouter and other AI gateways designed to simplify access to multiple model providers.

If Router attracts developers, Ramp could gain more than a new software business. It would also gain deeper insights into corporate AI spending and stronger relationships with model developers and inference providers, while giving existing Ramp customers another tool to control fast-growing AI costs.