Local AI or ChatGPT Business? Cost, control, and use compared
Editorial note: The information in this article was compiled to the best of our knowledge at the time of publication. Technical details, prices, versions, licensing terms, and external content may change. Please verify the information provided independently, particularly before making business-critical or security-related decisions. This article does not replace individual professional, legal, or tax advice.
Local platform or cloud workspace for your team? The AI Cube Pro is the preconfigured local path. WZ-IT can also configure a hybrid environment with approved cloud models alongside local models. Assess the operating model
ChatGPT Business and a local AI platform partly solve the same user problem: staff need a reliable AI workspace. Technically and organisationally, they are different operating models. The decision depends not only on cloud versus on-premises, but on tasks, data, model quality, integrations, and operating responsibility.
Product and price information checked on 15 August 2026.
Table of contents
- At-a-glance comparison
- What ChatGPT Business provides
- What a local AI platform provides
- Data protection without black and white
- Compare cost over three years
- Features and integrations
- When a hybrid deployment makes sense
- Decision matrix
At-a-glance comparison
| Criterion | ChatGPT Business | Local AI with AI Cube Pro |
|---|---|---|
| Delivery | cloud workspace | hardware in the organisation's network |
| Models | current models provided by OpenAI | compatible local models selected by the organisation |
| Interface | ChatGPT and integrated features | Open WebUI and approved integrations |
| Data path | OpenAI and provider infrastructure | locally configurable; external connections by approval |
| Operations | primarily provider operated | internal team or WZ-IT |
| Cost model | per user, additional usage possible | purchase, integration, and optional operations |
| Offline operation | no | possible depending on configuration |
| Model choice | determined by provider | selected by organisation and WZ-IT |
What ChatGPT Business provides
OpenAI describes ChatGPT Business as a managed workspace for teams. In August 2026, the official pricing page lists USD 20 per user per month when billed annually or USD 25 when billed monthly. The provider states that Business data is not used for training by default. Features include central billing, administration, SAML SSO, and a range of ChatGPT capabilities.
This is a different product from a personal Free, Plus, or Pro workspace. Assessment must concern the actual plan. It remains an external service where the provider evolves models, functions, limits, and terms.
What a local AI platform provides
With local AI, the model, chat interface, and potentially knowledge retrieval run inside a defined environment. The organisation decides which models are available, which network paths are permitted, and who administers them.
The AI Cube Pro is WZ-IT's ready-to-use path: hardware with 128 GB of unified memory, Open WebUI, local model runtime, an agreed and tested model, hardening, functional testing, initial setup, and five hours of support. It costs EUR 5,999 excluding VAT and is usually ready within two weeks after configuration approval.
Local operation also means responsibility for updates, backup, monitoring, and model changes. An internal team can handle this, or WZ-IT managed operations start at EUR 149.90 excluding VAT per AI Cube and month.
Data protection without black and white
“Cloud is insecure” and “local is automatically GDPR-compliant” are both too broad.
For ChatGPT Business, assess contract, data use, retention, subprocessors, region, enabled features, and permitted data. “No training by default” does not answer every storage, support, and processing question.
For local AI, assess purpose, legal basis, user rights, logs, deletion, backups, updates, remote support, and external models. Local inference can strengthen technical control but does not replace data-protection governance. See GDPR-compliant AI for the complete checklist.
Compare cost over three years
At USD 20 per user per month billed annually, ten users cost USD 2,400 per year, 25 users USD 6,000, and 50 users USD 12,000. Over three years that is USD 7,200, USD 18,000, and USD 36,000 before optional additional usage or integration. Prices, currency, and scope can change.
AI Cube Pro has a one-time entry price in euros. Power, optional operations, and custom integrations are additional. A break-even calculated only from user count is still misleading because cloud and local models may provide different quality and features. Compare the same workflow and realistic usage.
Features and integrations
ChatGPT Business provides immediately available provider features and current cloud models. Local AI offers controllable model choice, potential offline operation, and proximity to internal systems.
Open WebUI provides chat, files, knowledge spaces, users, groups, and model access. Staff can maintain personal or shared knowledge collections. Automatic Nextcloud, SharePoint, DMS, or professional-software connections are separate projects. WZ-IT implements RAG pipelines, middleware, APIs, or MCP servers against the actual permission architecture.
When a hybrid deployment makes sense
Organisations do not always need an exclusively local or exclusively cloud path. Local models can handle sensitive or internal tasks while approved external models remain available for other work.
This needs clear model names, group rights, and usage rules. The interface must not obscure which endpoint processes a request. Sensitive knowledge spaces require controls against accidental routing to external models.
Decision matrix
ChatGPT Business tends to fit when:
- fast introduction without own platform operation is the priority;
- current provider features matter more than free model choice;
- intended data can be processed under the assessed cloud framework;
- demand is small or highly variable.
AI Cube Pro tends to fit when:
- model inference and knowledge should stay in the organisation's network;
- a controllable platform for sensitive content is required;
- models, updates, and outbound connections should be selected directly;
- stable local use is expected;
- later RAG, API, or professional-software integration is planned.
Hybrid tends to fit when:
- tasks can be separated by data class;
- teams need both local and current cloud models;
- identity, model approval, and data paths should be administered centrally.
Sources
Compare local AI and cloud workspaces for your use
We assess users, data, models, integrations, and operations and show whether AI Cube Pro, cloud, or a deliberate hybrid fits.
Frequently Asked Questions
Answers to important questions about this topic
No. OpenAI states that Business data is not used for training by default and provides a managed workspace. Whether a use satisfies requirements still depends on the actual purpose, contract, plan, and data.
When model inference, chat, and knowledge should remain in a directly controlled environment, offline or internal-network requirements apply, model choice matters, or stable local demand exists.
When a team wants fast access to current cloud models and integrated features, wants little own platform operation, and may process the intended data under the chosen contractual and control framework.
Yes. A hybrid deployment can present local and deliberately approved external endpoints through one interface. Access and labelling must prevent sensitive content from being sent to external models unintentionally.
There is no credible universal threshold. Model quality, activity, integrations, hardware, operations, and cloud features differ. Compare at least three years for the same work.
Written by
Timo Wevelsiep
Co-Founder & CEO
Co-Founder of WZ-IT. Specialized in cloud infrastructure, open-source platforms and managed services for SMEs and enterprise clients worldwide.
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