OpenRouter

OpenRouter is a powerful API gateway that connects developers to a wide range of large language models (LLMs) through a single unified endpoint. It supports models from OpenAI, Anthropic, Mistral, Cohere, Google, and more, allowing developers to easily switch or route requests across providers without rewriting integration code. With OpenRouter, teams can build AI applications with maximum flexibility, transparent pricing, and performance insights.

• Unified API Endpoint: Access dozens of LLMs from different providers with a single OpenRouter-compatible API format.

• Model Routing and Fallbacks: Dynamically route or fall back between models based on latency, cost, or quality preferences.

• Transparent Usage and Billing: Pay only for what you use, with real-time insights into token usage and per-model pricing.

• Keyless Auth for End Users: Let your users interact with LLMs without exposing your API keys by using OpenRouter's frontend authorization flow.

• Streaming Support: Stream responses for low-latency applications, including real-time UIs and chatbots.

• LangChain / OpenAI SDK Compatibility: Works seamlessly with the OpenAI SDK, LangChain, and other common LLM frameworks.

• Eliminates the need to manage multiple API integrations for LLMs.

• Real-time token usage monitoring and transparent billing.

• Easy to test, switch, and compare models across providers.

• Latency may vary depending on upstream model performance.

• Requires configuration management when using multiple fallbacks.

• Relies on third-party model uptime and availability.

• Compatible with OpenAI SDK

• Works with LangChain, LLM SDKs, and curl/http tools

• Supports integration into frontend apps via keyless authorization

• Compatible with serverless functions, chatbots, RAG systems

• Free Tier: Access to models like LLaMA2 with generous rate limits.

• Pay-as-you-go: Prices vary per model (e.g., Claude, GPT-4, Mistral) with detailed token-based billing.

• Quickly prototyping with different LLMs without vendor lock-in.

• Building applications requiring fallback, routing, or low-latency model switching.

• Deploying frontend apps with secure model access and user-level auth.

• Integrating AI into existing backend workflows or automation tools.