What Is OpenRouter? How It Works, Pricing, Pros and Cons

OpenRouter is a service that sits between your app and AI model providers. Instead of signing up separately with Anthropic, OpenAI, Google and others — each with its own key, billing and API format — you use one OpenRouter key and one API to reach hundreds of models.

How it works

You create an OpenRouter account and add credits.
Your app sends requests to OpenRouter's API, naming the model you want, like anthropic/claude-sonnet-5.5 or openai/....
OpenRouter forwards the request to a provider that serves that model and returns the response.

The API follows OpenAI's chat completions format, so code written for OpenAI usually works with a different base URL:

import OpenAI from 'openai'

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

const res = await client.chat.completions.create({
  model: 'anthropic/claude-haiku-4.5',
  messages: [{ role: 'user', content: 'Summarise this in one line: ...' }],
})

Switching model is a one-word change.

How it charges

You buy credits and pay per token, generally at the model provider's own per-token prices. OpenRouter makes its money mainly through a fee on credit purchases. Check openrouter.ai for current fees. Some models are offered free with tight rate limits — fine for experiments, not for production.

Why people use it

Try many models quickly without opening ten accounts. Great for comparing quality and cost on your real prompts.
Switch providers easily. If a model gets cheaper or better, change one string.
Fallbacks. You can list backup models, so if one provider is down or rate-limited, the request goes elsewhere.
One bill and one dashboard for usage across providers.
Access to open-weight models (Llama, Qwen, DeepSeek, Mistral and others) hosted by various providers, without running them yourself.

The trade-offs

Another company in the path. Your prompts pass through OpenRouter as well as the model provider. Check its data and logging settings, and which providers it routes to, if your data is sensitive.
Provider-specific features may lag or differ. Things like prompt caching, extended thinking, or new API parameters sometimes work differently than calling the provider directly. (Prompt caching explained)
An extra point of failure and a little added latency.
The fee. Small per purchase, but it adds up at scale.

OpenRouter vs going direct

	OpenRouter	Direct (e.g. Anthropic API)
Accounts and keys	One	One per provider
Switching models	Change a string	Change SDK/code
Newest features	Sometimes delayed	Immediately
Data path	You → OpenRouter → provider	You → provider
Cost	Provider price + fee	Provider price

A common pattern: prototype on OpenRouter to find the right model, then go direct with the provider you settle on for production — especially if you rely on provider-specific features.

OpenRouter with coding tools

Some open-source coding agents, such as OpenCode, can use OpenRouter as their provider so you can try many models in one tool.

The summary

OpenRouter = one key, one OpenAI-compatible API, hundreds of models.
Pay per token at roughly provider prices, plus a fee on credits.
Great for experimenting and fallbacks; consider going direct for production.

EasySpawn gives your AI app a server-side backend where your OpenRouter or provider keys stay secret, with Postgres and HTTPS ready. See how it works or join the waitlist.

What Is OpenRouter? One API for Hundreds of AI Models