Ramp’s Router.com AI cost router

What it does

Ramp launched Router.com on Wednesday — a single endpoint to every major AI model that routes each request to the lowest-cost model meeting the required performance level, and, unlike a routing layer alone, connects those model decisions to Ramp’s broader AI spend visibility and controls, so companies can see what AI work costs, who owns it, and where to optimize. Developers connect once through an OpenAI-compatible API and reach models from OpenAI, Anthropic, and SpaceXAI, with Gemini coming soon, alongside open models including Nvidia, Kimi, DeepSeek, GLM, and Qwen — with automatic fallback and more than 100 optimizations across model selection, caching, compression, and timing. Router is the productized version of infrastructure Ramp has run internally for three years, cutting its own inference costs roughly 30 percent at 99.9 percent-plus reliability while routing 2.75 trillion tokens a month, and it continuously tests new models against Ramp SWE-Bench, a benchmark built from the company’s real production engineering tasks. Routing is free through 2026 — users pay list price for tokens — and early customers report cutting inference costs by 40 percent on average. The timing is no accident: AI spend has grown 20.7x since June 2025, according to the Ramp AI Index.