API Pricing

For reference, ZenInpanint consumes 0.04-0.05 credits per call.

Production-ready AI, priced to scale with your enterprise.

From defining requirements to designing production-ready operations, our specialists and engineers work closely with your team to deliver the optimal configuration and pricing across our models.

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  • Pricing optimized for high‑volume, high‑frequency usage

  • Dedicated support and technical consulting

  • Compliance with enterprise‑grade security and data handling requirements

Enterprise

Server Licensing

Dedicated API servers for high-volume, production workloads. Built to deliver consistent performance as request volume scales.

From

$1000

/ mo

Intended for 10k+ API calls annually

Intended for 10k+ API calls annually

Frequently Asked Questions

Which plan should I choose?

Subscription is a good fit for individual development and smaller workloads. As usage grows, or when you need dedicated infrastructure, system integrations, or technical support, you can scale to Enterprise.

How are credits consumed?

Credits are consumed based on the model and operation used. Reference rates are listed above, while the latest consumption rates and current usage can be viewed in the API documentation or Dashboard.

How is Enterprise pricing determined?

Enterprise starts at $1,000 per month and is designed around expected request volume, selected models, required performance, and integration scope. Because production workloads differ, you can select an environment and pricing structure without paying for unnecessary capacity.

What security and data-handling requirements can Enterprise support?

Enterprise configurations can reflect your organization's security, data-handling, and operational requirements. Dedicated environments and integration methods can be designed around production needs, providing flexibility for requirements that fixed plans may not accommodate.

Can I move from Subscription to Enterprise?

Yes. Output-quality findings and usage data from your Subscription plan can be used to design an Enterprise configuration around expected request volume and system integration requirements. This allows you to scale progressively from evaluation to production.