OpenRouter

OpenRouter

A router for LLMs and other AI models

Created Aug 30, 2025
Updated May 31, 2026

What it is

OpenRouter is a unified API platform that provides access to a wide range of large language models (LLMs) from various providers. It serves as a single interface for developers, teams, and organizations to integrate and utilize multiple AI models without managing separate API integrations. The platform is designed for users who require reliable, cost-effective access to diverse AI capabilities.

Main Features

Unified Model Access

  • Single API endpoint for accessing 400+ models from 60+ providers
  • Full compatibility with the OpenAI SDK, requiring minimal code changes
  • Support for major providers including OpenAI, Google, Anthropic, Meta, Mistral, and Cohere

Infrastructure & Reliability

  • Distributed infrastructure designed for high availability and uptime
  • Automatic failover to alternative providers when one experiences downtime
  • Edge network deployment adding approximately 25ms latency to inference requests

Data Control & Privacy

  • Customizable data policies to control which models and providers process prompts
  • Fine-grained control over data routing to trusted providers
  • Configurable privacy and logging settings

Cost Management

  • Transparent pricing across all models and providers
  • Credit-based system usable with any model on the platform
  • Performance optimization to balance cost and speed

How it works

API Integration

Users create an account, purchase credits, and obtain an API key. The OpenAI-compatible API allows developers to make requests to any supported model using standard OpenAI SDK patterns, with minimal configuration changes.

Provider Routing

The platform automatically routes requests to available providers, optimizing for uptime and performance. Users can configure fallback options to ensure continuous service availability when specific providers experience issues.

Model Selection

Users can browse and select from hundreds of models through the platform's model directory, choosing based on performance metrics, pricing, and specific capabilities. The system handles the underlying provider integration transparently.

Key Points

  • Processes over 8.4 trillion monthly tokens across 2.5 million global users
  • Provides real-time performance metrics including latency and weekly growth statistics for each model
  • Offers enterprise-grade features including custom data policies and organizational management
  • Maintains model rankings and usage statistics to help users make informed choices
  • Recently expanded to include image generation capabilities through Gemini 2.5 Flash Image Preview

Additional Details

  • Pricing: Credit-based system where purchased credits work across all models and providers
  • Availability: Global service with distributed infrastructure
  • Requirements: Standard API integration capabilities; compatible with existing OpenAI SDK implementations
  • Recent additions: Supports GPT-5, Gemini 2.5 Pro, and Claude Sonnet 4 among latest model offerings
  • Enterprise options: Available for organizations requiring advanced team management and data control features
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