Ramp Router
Ramp Router is a unified LLM gateway that picks the lowest-cost suitable model for each request, consolidates usage and billing, and provides OpenAI/Anthropic‑compatible endpoints, U.S.-hosted options with zero data retention, and automated strategies that typically cut inference spend by ~40%.
Overview
Replace provider-specific endpoints with Router’s base URL, configure global or per-request routing strategies, and use existing OpenAI/Anthropic SDKs. Router chooses a compatible model, handles retries and failover, and records granular tokens, latency, and spend so engineering and finance see performance and cost in one console.
How Router works
Platform teams standardizing AI access, product engineers shipping multi‑model features, agent builders optimizing cost and reliability, and finance leaders seeking predictable spend benefit most. High‑volume chat, retrieval, and agentic workflows that swing between throughput and quality targets see outsized savings. Early‑stage founders can prototype quickly across models, while established orgs use Router’s telemetry and benchmarks to rationalize provider choices, negotiate contracts, and prevent lock‑in as models, pricing, and capacity shift.
- Single endpoint with OpenAI and Anthropic compatibility for drop‑in SDK swaps.
- Automatic cost-aware routing selects the cheapest model that meets quality targets.
- Real-time failover and retries maintain availability when providers rate-limit or degrade.
- Detailed token, latency, and spend telemetry unify engineering and finance visibility.
- Optional BYOK, U.S. hosting, and zero data retention for sensitive workloads.
Why Router
Who should use Router
Sign in with your email to receive an access link, claim free credits, and obtain an API key. Point your existing OpenAI or Anthropic SDKs at Router’s endpoint and verify a test call. Set global defaults, then define workload-specific strategies such as Flex or Switchyard. Optionally attach provider keys where supported, enable U.S.-hosted models and zero data retention, and invite teammates. Monitor cost, latency, and success rates in the console, compare models side by side, and promote validated strategies to production.
“At Ramp, Router cut our overall LLM cost by 30% while making our features smarter and faster.” — Rahul Sengottuvelu, CTO
Getting started
Router consolidates multi-model access, spend tracking, and resilience into a single, SDK‑compatible API. Its cost‑aware routing, production‑grade telemetry, and governance options reduce lock‑in while preserving quality. As models, prices, and capacity change, Router’s evolving strategies keep savings and performance aligned without repeated code rewrites.
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Ramp Router
Ramp builds finance automation and spend management software used by modern enterprises. Router emerged from running large-scale, multi-model AI in production—prioritizing cost, reliability, and governance. The team publishes rigorous benchmarks and ships practical tools that translate research into measurable savings.
Ramp Router is a cost-aware LLM gateway that centralizes access to leading closed and open models behind a single, OpenAI- and Anthropic‑compatible API. Each call is evaluated against production benchmarks and live provider telemetry, then routed to the lowest-cost model that satisfies your latency and quality requirements. Router tracks tokens, model choice, failures, and spend across providers in one place, while offering U.S.-hosted deployments and optional zero data retention for sensitive workloads. Built from Ramp’s internal infrastructure that routes trillions of tokens monthly, Router adds strategies like Flex and agent-focused Switchyard to capture new savings as models evolve. It also provides side‑by‑side comparisons to validate model choices before rollout. Free routing runs through 2026 with $26 in credits; you pay list price for tokens.
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