What is it

OpenRouter is a model routing and aggregation platform serving over 8 million developers and applications. It provides a single API endpoint to access major LLMs from OpenAI, Anthropic, Google, Meta, and dozens of other providers, with built-in fallback, latency optimization, and enterprise security controls.

What it can do

It routes API requests to the best available model based on cost, latency, or uptime requirements, automatically falling back when providers experience outages. The platform includes a real-time model leaderboard, prompt caching for cost reduction, configurable guardrails for security and compliance, and an Agent SDK with human-in-the-loop hooks. Users can bring their own API keys or buy credits with no minimum spend.

Who is it for

It is built for AI developers, startups, and enterprises that want to build model-agnostic applications, optimize inference costs, ensure high availability, and maintain governance over which providers handle their data.

Key Features

Unified Model API – One Interface for 400+ LLMs

Access all major models through a single, OpenAI-compatible API endpoint. Switch between GPT-5.5, Claude Opus 4.8, Gemini 3.1 Pro, and over 400 other models from 60+ providers without rewriting integration code, enabling true model portability across your application stack.

Intelligent Auto-Routing – Fallback & Reliability

Automatically route queries to the best available model based on latency, cost, or uptime requirements. When a provider goes down, the system transparently falls back to alternatives, and you are billed only for successful runs with zero completion insurance on every request.

Real-Time Model Rankings – Performance Comparison

Browse and compare models by speed, cost, and quality through a live leaderboard. Test outputs side-by-side in the Playground to identify the optimal model for your specific task before committing engineering resources to integration.

Guardrails – Security & Governance Controls

Configure budget enforcement, zero data retention policies, model and provider restrictions, prompt injection defense, and data loss prevention. Fine-grained data policies ensure organization prompts only route to providers that meet your trust and compliance requirements.

Use Cases

Multi-model application development

Engineering teams build model-agnostic applications that dynamically switch between LLMs based on task complexity, cost constraints, or availability. A single OpenAI-compatible integration eliminates vendor lock-in and simplifies adding new models as they are released.

Cost-optimized AI inference with auto-routing

Startups route traffic to the most cost-effective model that meets quality thresholds for each request type. Automatic fallback prevents downtime when premium providers experience outages, and prompt caching reduces recurring costs for repetitive query patterns.

Autonomous agent deployment with guardrails

Product teams deploy AI agents using the OpenRouter Agent SDK with built-in human-in-the-loop approval gates. Guardrails enforce budget caps, restrict model access to approved providers, and block prompt injection attempts before they reach downstream systems.

Enterprise AI governance and compliance

Security teams configure data policies that prevent sensitive prompts from routing to providers without zero retention guarantees. SSO/SAML integration, activity logs, and admin controls provide the audit trail and access management required for regulated industries.

Pricing plans

Frequently Asked Questions

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