75. Open Router

The lesson

OpenRouter, available at openrouter.ai, is a unified gateway to many large language model providers. Instead of signing up for separate accounts at OpenAI, Anthropic, Google, Mistral, and dozens of other providers, you can use one API key and one request format to access models from all of them.

The main problem OpenRouter solves is fragmentation. Each provider has its own SDK, endpoint, authentication, error format, and pricing page. OpenRouter normalizes these differences so your code looks the same whether you are calling GPT-4, Claude, Gemini, or an open model hosted by a smaller provider.

OpenRouter provides a model directory where you can browse models by capability, context length, price per token, and provider. Prices are displayed clearly, so you can choose a cheaper model for simple tasks and a stronger model for hard tasks. This makes cost optimization much easier.

A useful feature is routing and fallbacks. If the provider you selected is down, rate-limited, or out of capacity, OpenRouter can automatically route your request to another provider that serves the same model. This improves reliability for production applications.

The service also offers a free tier and a playground where you can test prompts without writing code. This is helpful for prototyping and comparing how different models respond to the same instruction.

Important caution: OpenRouter itself does not host the models. It forwards your request to the actual provider. Therefore, you must still review each provider's privacy policy before sending sensitive data. Data sovereignty and retention terms vary by provider.

Best practices: start with the playground, measure quality and cost on your own tasks, use model fallbacks for uptime, and keep your API key secure. Treat OpenRouter as a convenience layer, not a replacement for provider due diligence.

Check yourself