Build AI apps
with minimal expenses
A smart proxy that routes every prompt to the cheapest capable model.


Reduce cost & latency
Save money and optimize speed on every request with intelligent prompt routing & caching.
Drop infrastructure complexity
Access the entire universe of AI models with one API and one billing setup.
Get instant access to new models
New models are added as soon as they're available. No changes are required from your end.
Save ~70% on AI infrastructure costs
Optimize your LLM budget with smart caching and task-based model selection that keeps every request fast and affordable.
Smart caching
Automatically cache repeated or similar prompts, so identical requests skip the LLM entirely, cutting latency and saving you API credits.
Task-based model selection
Route every prompt to the right model automatically, so you never waste money using expensive LLMs for basic tasks.
Integrate in seconds
Setup pixelrouter with your existing AI stack in less than 30s.
import { createClient } from 'llm-router'
const pixelrouter = createClient(process.env.LLM_ROUTER_API_KEY)
export default function App() {
const [response, setResponse] = useState(null)
const handleClick = async () => {
const response = await pixelrouter('Hello Mr LLM, how are you?')
setResponse(response)
}
return (
<div>
<button onClick={handleClick}>Say Hello</button>
{response && <p>{response}</p>}
</div>
)
}DevelopersPixelRouter
Many of the dev teams find that pixelrouter is a must-have.
“pixelrouter saved us 73% of our AI infrastructure costs.”

“If you're not using pixelrouter, you are losing money!”

“Routing across providers used to be a full-time job. Now it's a config file.”

“I don't see how anyone could build an AI app without pixelrouter.”

“We cut our p95 latency in half within the first week of switching.”

“The fallback logic alone paid for itself the first time a provider had an outage.”
