Keep the way you build.
An OpenAI-compatible API means familiar requests and familiar responses. Spend your engineering time on your product, not another integration.
client = OpenAI(
base_url=INFERENCE_ENDPOINT)
base_url=INFERENCE_ENDPOINT)
Cost-first AI infrastructure
Your intelligence.
Not your
biggest expense.
Stop paying a premium for every token. Find a lower-cost route for your AI workloads, without rebuilding your application.
Built for developers. Designed around your margins.
Inference playgroundPreview
POST/v1/chat/completions
{
"model": "your-open-model",
"routing": "lowest-cost",
"stream": true
}
"model": "your-open-model",
"routing": "lowest-cost",
"stream": true
}
Same model. Different economics.Cost / 1M tokens
Provider AAvailable$0.80
Provider BAvailable$0.55
Provider CSelected$0.30
Lower cost. Same model.
Route selected by price
Route selected by price
62.5%lower token cost
Illustrative routing preview. Not a live provider quote.
Your stack stays.
The overhead goes.
OpenAI-compatiblePythonTypeScriptcURL / REST
Less friction.
Better unit economics.
Inference should be a building block, not a budgeting problem. Make cost a part of every request.
Pay for the model. Not markup.
Compare routes for the same model. Choose around cost, availability, and the latency your application actually needs.
Make every token count.
Start with your highest-volume workload. Understand the cost difference before moving more traffic.
Small token costs.
Big monthly difference.
Put your workload in perspective. Adjust the volume and blended rates to see what a cheaper route could save.
Explore pricing10M tokens2B tokens
Potential monthly savings
$400 → $150 / month
$400 → $150 / month
$250 / mo
Example rates, not a pricing quote. Estimate uses total tokens × blended rate. Actual costs depend on model, input/output mix, and provider fees.
Build more. Spend less on inference.
Tell us what you’re running. Let’s find a more efficient route.