OpenRouter — Unified API for 200+ AI Models

What it is

OpenRouter is a unified API service that provides access to over 200 AI models from OpenAI, Anthropic, Google, Meta, Mistral, and other providers through a single OpenAI-compatible endpoint. It handles model routing, automatic fallbacks, and consolidated billing.

OpenRouter targets developers and teams building AI applications who want provider flexibility without managing multiple API integrations. Swap models by changing a string parameter; your client code stays identical.

The project is actively maintained and suitable for both individual developers and teams looking to integrate it into their existing toolchain. Documentation and community support are available for onboarding.

How it saves time or tokens

OpenRouter's unified endpoint means one SDK integration covers all providers. Automatic fallbacks keep your application running when any single provider has downtime. The cost comparison dashboard shows per-model pricing so you can optimize for budget or quality. No need to maintain separate API keys and billing accounts for each provider.

For teams evaluating multiple tools in the same category, the clear documentation and active community reduce the time spent on research and troubleshooting. Getting started takes minutes rather than hours of configuration.

How to use

1. Create an account at openrouter.ai and generate an API key.
2. Set your OpenAI SDK's base URL to https://openrouter.ai/api/v1.
3. Choose a model from the catalog (e.g., anthropic/claude-sonnet-4, meta-llama/llama-3.3-70b).
4. Make standard chat completion requests. OpenRouter handles routing and billing.

Example

import OpenAI from 'openai'

const client = new OpenAI({
  baseURL: 'https://openrouter.ai/api/v1',
  apiKey: process.env.OPENROUTER_API_KEY,
})

const response = await client.chat.completions.create({
  model: 'anthropic/claude-sonnet-4',
  messages: [
    { role: 'user', content: 'Write a haiku about code reviews.' }
  ],
})

console.log(response.choices[0].message.content)

Related on TokRepo

• AI Gateway Providers — Compare LLM API gateways and routing services.
• AI Gateway: OpenRouter — Detailed OpenRouter integration and configuration.

Common pitfalls

• Not checking model capabilities before switching. Vision, function calling, and streaming support vary by model. Verify features on the model page before routing production traffic.
• Relying on a single model without fallback configuration. Configure model alternatives so your app degrades gracefully during provider outages.
• Ignoring rate limits. Each underlying provider has its own rate limits, which OpenRouter passes through. Monitor 429 responses and implement backoff.
• Not reading the changelog before upgrading. Breaking changes between versions can cause unexpected failures in production. Pin your version and review release notes.
• Not pinning dependency versions in production. Floating versions can introduce breaking changes. Lock your dependency versions and test upgrades in staging first.