Pricing
Pricing, usage, and limits
Quantlix pricing depends on plan, hosting model, usage volume, and enterprise controls. This page explains the concepts so teams know what to ask before scaling.
What counts as usage
- Number of deployments and provider-backed inference targets.
- Workflow executions, model calls, retrieval queries, and tool calls.
- Audit exports, trace retention, eval runs, and observability volume.
- Team, SSO, compliance, and managed hosting requirements.
Managed vs self-hosted cost model
Managed Quantlix
Quantlix operates the control plane. You pay for platform access and usage while still paying model providers directly where applicable.
Self-hosted Quantlix
You operate infrastructure, storage, and runtime services. This can reduce data movement but shifts operational responsibility to your team.
Budget gates
Budget gates are policy controls, not billing invoices. They help prevent runaway spend by limiting request rate, compute seconds, retry amplification, or other runtime ceilings before execution continues.
Set up budget control examples →Common questions
Do provider model costs come from Quantlix?
Usually no. If you connect your own Anthropic, OpenAI, Azure OpenAI, Bedrock, Groq, Together, or Voyage AI account, provider usage is governed by that provider relationship.
Can I export my audit trail?
Yes. Quantlix supports enforcement-event exports and signed audit exports when signing is configured.