ChatGPT Enterprise vs your own chatbot: cost comparison 2026

Key points: ChatGPT Enterprise costs ~$60-75 per user per month (volume-dependent). A custom RAG chatbot costs €15,000-€40,000 one-off to build, then €200-€500/month for API calls + hosting. The break-even point sits around 25-30 users or with specific requirements: deep knowledge-base integration, multi-system connections, or strict data locality. For pure productivity with <20 users: ChatGPT Enterprise. For business-critical knowledge with EU requirements: a custom solution.

What ChatGPT Enterprise costs

OpenAI does not publish a fixed price list for Enterprise, but common 2026 prices are:

• Team plan (small businesses, 2-149 users): ~$30/user/month (annual commitment)
• Enterprise plan (150+ users): ~$60-75/user/month
• Custom Enterprise (from 1,000 users): negotiable

What's included:

• GPT-4o and the latest models with unlimited usage
• Knowledge connectors for SharePoint, Google Drive, Slack, GitHub
• Custom GPTs for your team
• Enterprise SSO + admin controls
• No training on your data (data privacy guarantee)
• 32k+ context windows

For an SME of 20 employees, of whom 15 are active: €11,000-€14,000/year.

What a custom RAG chatbot costs

Building your own Retrieval-Augmented Generation (RAG) chatbot for your company data:

One-off build costs

Recurring costs (per month)

Annual recurring costs: €7,800-€17,640.

The break-even point: ChatGPT Enterprise vs custom

Break-even build year: roughly 50 users. Break-even year 2+ (recurring): roughly 20-25 users.

When ChatGPT Enterprise wins

• <20 active users without specific requirements
• Generic productivity (email, writing, brainstorming) more important than knowledge-base access
• No strict EU/GDPR locality requirements (OpenAI EU residency is now available)
• Speed of rollout more important than customization
• Limited IT capacity to maintain something custom

When a custom chatbot wins

• >25 users with regular usage
• Domain-specific knowledge: your product documentation, internal SOPs, FAQs, customer contracts
• Multi-system integration: connections to CRM, ERP, ticketing systems
• GDPR-strict: sensitive data that must remain EU-hosted
• Specific behaviour required: tone of voice, structured outputs, agent workflows
• Competitive sensitivity: knowledge you do not want an external party to see

The hybrid route: pragmatically optimal

For many SMEs the optimal strategy is a combination:

1. ChatGPT Enterprise for general productivity (email, writing, brainstorming), 15-30 active users.
2. Custom RAG chatbot for business-critical knowledge: product information for sales, the internal process handbook for support, technical documentation for engineering.

Costs of this hybrid approach for an SME of 30 employees:

• ChatGPT Enterprise: €12,000/yr
• Custom RAG (specific use case, 5-10 users): €25,000 build + €8,000/yr
• Year 1 total: €45,000

The advantage: you get productivity AND differentiation. ChatGPT Enterprise is a commodity; your own knowledge-base bot is not.

Subsidies for the custom-chatbot route

Several subsidies can be applied to a custom RAG chatbot:

• WBSO on the development hours, 36-50% reduction
• MIT feasibility if you first want to investigate whether it works, €20,000
• SLIM for team training on its use, €25,000

For the ChatGPT Enterprise track there are barely any subsidies (a SaaS subscription does not qualify for WBSO).

Implication: the €27,000 custom-build cost can, with €11,000-€15,000 in subsidy, come out net around €12,000-€16,000. That shifts the break-even point to ~12-15 users.

Real-world example

For an SME in professional services with 28 employees and extensive internal documentation (1,200+ documents) we built a custom RAG chatbot. Lead time: 8 weeks. One-off costs €31,000, net €19,000 after WBSO. Recurring costs €850/mo. Result: 60% reduction in search time for internal documents, 85% user adoption after 3 months.

For a comparable case with 15 users and no specific knowledge-base requirements, ChatGPT Enterprise was the clear winner.

Also read our article on internal knowledge-base chatbots and chatbot for customer service.

Conclusion and advice

There is no one-size-fits-all. Make this decision as follows:

1. <20 users, no knowledge-base requirement: ChatGPT Enterprise.
2. >25 users, no knowledge-base requirement: ChatGPT Enterprise still, because it is cheaper than building a custom productivity bot.
3. Own knowledge base is crucial (product info, SOPs, contracts): custom RAG build.
4. EU/GDPR-strict: custom solution.
5. Hybrid: combine both for maximum impact.

Schedule a 30-minute introductory call and we'll advise which route fits your situation.

Frequently asked questions

At how many users is a custom chatbot cheaper? Around 25-30 users (year 2 comparison).

Do I get access to my own documents with ChatGPT Enterprise? Yes, through File Upload and Knowledge features. But retrieval is generic.

Is a custom chatbot GDPR-compliant? Provided it is built well: yes. An EU-region vector database and EU-region LLM APIs keep data within the EU.