One API. Every model you need.
Inference Cloud is the production layer for model inference. One balance, one key, and complete visibility into every token you spend.
Request
cURLcurl https://api.inference.cloud/v1/chat/completions \
-H "Authorization: Bearer sk_live_xxxxxxxx" \
-H "Content-Type: application/json" \
-d '{
"model": "model-pro",
"messages": [{
"role": "user",
"content": "Ship it."
}]
'Response
200 OK{
"id": "req_8f2c…",
"usage": {
"input_tokens": 842,
"output_tokens": 372
},
"cost": "$0.00384",
"latency_ms": 642
}Tokens
1,214
Cost
$0.00384
Latency
642ms
The platform
Infrastructure that gets out of your way.
Everything between your product and the model, handled. The console gives you the details most platforms hide.
Drop-in API compatibility
Use OpenAI-compatible chat completions or the Anthropic-compatible messages API. Change the base URL, keep your tooling.
Every model in one catalog
Compare context windows, capabilities, and per-token pricing. Pick a model without stitching together separate APIs.
Usage you can audit
Per-request tokens, latency, cost, and status. Daily breakdowns and a complete request ledger by default.
Scoped API keys
Create as many keys as your workflow needs. Rotate or revoke instantly, and reveal a secret exactly once.
Simple balance model
Fund a single balance and draw it down per token. Transparent deposits and a running transaction ledger.
Security by default
Cookie-authenticated console, server-side API keys, and sensible error contracts for production integrations.
How it works
From zero to first token in minutes.
No infrastructure to provision, no minimum commitment. Create an account, pick a model, and send a request.
Create your accountCreate an account
Open the console, set up your workspace, and generate your first API token.
Fund your balance
Choose a supported network and token, then send the exact quoted amount.
Point your SDK at us
Set the base URL and model ID. Streaming, tools, and structured output just work.
Pricing
Pay for tokens. Nothing else.
Every model has a published input and output rate per million tokens. Add credits to your balance and draw them down as you build. Cached reads and writes are priced separately where a model supports them.
Per-token rates
Input, output, and cache pricing surfaced before you send a request.
Request-level cost
Each request records its token counts, cost, latency, and final status.
One balance
Top up once. Use it across every model in the catalog.
Ship inference, not infrastructure.
Create an account and make your first request against a production-ready API today.
No card required to create an account.