Bring your token bill
30 minutes. We size a machine against your real usage and tell you honestly whether owning beats the API yet.

Metered APIs price every token; a machine you own prices the month. We build and host it — your OpenAI-compatible key routes only to your hardware.

Your inference line becomes a machine plus flat hosting. Launch week and quiet week cost the same, and the hardware is yours at the end.
API keys are scoped to your own machines, so requests never touch a shared GPU pool. Capacity, latency, model versions: all yours.
The gateway is OpenAI-compatible: change the base URL and the key, keep the rest of your code.
client = OpenAI(
base_url="https://b3iq.org/v1/api",
api_key=os.environ["B3IQ_API_KEY"],
)Before you commit, we run your model on the same configuration you'd buy and share the throughput and latency numbers.
Self-hosting wins at sustained volume: once steady token spend clears a machine's monthly hosting cost, every marginal token is nearly free. Below that line you're buying control and predictability, not savings — a metered API may still be cheaper. Bring your usage and we'll tell you which side of the line you're on.
Possibly, and we'll say so. If spend is small and stable, stay on metered APIs. Owning starts to make sense when usage is sustained, spiky, or growing fast enough that predictability matters more than the marginal token price.
Add GPUs to the same platform, add a second machine under the same key, or use the guaranteed trade-in on the financing page to step up.
No. Rent-to-own with 30% down at 8% interest, or buy outright — terms and the exact numbers are on the financing page.
30 minutes. We size a machine against your real usage and tell you honestly whether owning beats the API yet.
Search pages and machines.