OpenRouter is a unified API gateway that gives developers access to 500+ AI models from 80+ providers through a single OpenAI-compatible endpoint, with automatic fallbacks and transparent per-token pricing.
Instead of integrating a dozen provider APIs — each with its own SDK, billing and rate limits — you integrate OpenRouter once and call any model by name. The API is fully OpenAI-compatible, so existing code usually works by changing the base URL and key. Behind the scenes, OpenRouter routes each request across its distributed provider network: if one provider goes down or slows, traffic falls back to another serving the same model, which materially improves uptime for production applications. The platform now processes hundreds of trillions of tokens a month for more than ten million users and a quarter-million apps.
Cost control is the second pillar. Models are billed at the underlying provider’s per-token price with no subscription, and OpenRouter surfaces live price and performance data so teams can pick the best price-to-speed tradeoff per workload. Fine-grained data policies let organizations restrict which providers may receive their prompts — essential for regulated data — and features like model routing, provider ordering and private endpoints for your own fine-tuned models round out the enterprise story.
OpenRouter is free to sign up and charges no platform subscription. You buy credits and pay each model’s published per-token rate — the same price the provider charges — with many models also available in free variants for experimentation. There are no monthly minimums; you only pay for tokens you actually use, and credit purchases carry a small platform fee.
Developers and AI products that want model choice, redundancy and cost visibility without maintaining many provider integrations. Teams legally required to keep all inference inside a single vendor’s cloud may still prefer a direct provider contract.