The worst moment is when the tokens run out.QDivZero keeps AI work moving.

Developers, lawyers, and knowledge workers should not stop mid-flow because opencode, Hermes, Copilot, or an agentic workflow burned through the token budget. Run models through one OpenAI-compatible API with capacity pricing built for uninterrupted work.

DocumentationGet Started
Deepseek AiDeepseek Ai
Meta LlamaMeta Llama
GoogleGoogle
QwenQwen
UnslothUnsloth
HauhauCSHauhauCS
NvidiaNvidia
MoonshotaiMoonshotai
Deepseek AiDeepseek Ai
Meta LlamaMeta Llama
GoogleGoogle
QwenQwen
UnslothUnsloth
HauhauCSHauhauCS
NvidiaNvidia
MoonshotaiMoonshotai

Capacity-priced inference

Compute

Run any model without per-token billing.

Pick a Hugging Face model, get an OpenAI-compatible endpoint, and pay fixed hourly rates instead of watching token usage.

Explore Compute

Pricing estimates

Pool 03

qwen-cheap

0.39 €/h

Pool 01

qwen-fast

0.52 €/h

Est. monthly

40 €/mo

Retrieval without a second bill

Flexible Vector Database

Reuse Compute embeddings for search, discovery, and recommendations.

Generate embeddings once in Compute, then serve image search, semantic search, and recommendations from the same catalog layer.

Explore Flexible Vector Database

Semantic search

waterproof weekend bag

traveller_backpack_pro

97% match · waterproof

weekender_duffel

89% match · weekend

hydration_pack

82% match · durable

Pre-inference guardrails

Firewall

Block unsafe prompts before they reach paid inference.

Attach a firewall slug to OpenAI-compatible requests, return 403s early, and keep bad traffic away from your models.

Explore Firewall

Request flow

Allowed request

firewall: production-guardrails

200

Blocked request

prompt injection detected

403

Pending review

awaiting verification

---

Cost-aware routing

Smart Balancers

Send easy prompts to cheap models and hard ones to stronger paths.

Keep one OpenAI-compatible endpoint while routing by prompt shape, fallback priority, and spend policy.

Explore Smart Balancers

support-balancer

Primary

qwen-cheap

Fallback

public-gpt-oss-120b

Priority

1 → 2

Trigger

auto on failure

Same OpenAI SDK. No token-meter rewrite.

Point existing OpenAI-compatible code at QDivZero. Compute runs models at fixed hourly rates; Vector Database, Firewall, and Smart Balancers keep the same contract around it.

View quickstart
quickstart.py
from openai import OpenAI

client = OpenAI(
    base_url="https://api.qdiv0.com/v1",
    api_key="your-api-key",
)

response = client.chat.completions.create(
    model="your-model",
    messages=[
        {"role": "user", "content": "Hello world"},
    ],
)

Build more AI without token bills deciding the roadmap.

Start with capacity-priced Compute, then add retrieval, guardrails, and routing without changing your OpenAI-compatible integration.

Explore ComputeRead the blog