# How is GLBNXT priced? GLBNXT is offered as a flat monthly subscription, billed annually. There are no per-user fees. Whether your organisation has ten users or ten thousand, the subscription covers your entire workforce. This makes budgeting straightforward and removes the friction that typically comes with scaling AI adoption across an organisation. There are three plans to choose from. **Workspace** is the starting point for organisations that want to give their teams a secure, sovereign AI environment for everyday work. **Platform** extends that foundation with full AI development infrastructure for technical teams that want to build, automate, and scale AI capabilities across the organisation. **Ultimate** is designed for enterprises with complex, bespoke requirements, offering fully customised token limits, model selections, infrastructure, and integrations tailored to your specific ambitions. Each plan includes a monthly token allocation that reflects typical usage at that level. As your organisation grows its AI use cases and those use cases deliver real value, usage naturally increases. Pricing can scale accordingly, but that growth is always tied to the success and adoption of AI within your organisation, not arbitrary cost increases. The principle behind GLBNXT pricing is straightforward: you start with a predictable subscription, you scale as AI delivers results, and you only invest more when the platform is genuinely working for you. For a full overview of what is included in each plan, visit [glbnxt.com/pricing](https://www.glbnxt.com/pricing) or contact our team to discuss which plan fits your organisation best. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.glbnxt.com/faq/pricing-and-access/how-is-glbnxt-priced.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.