ChatGPT Enterprise costs $30+ per user per month with a minimum commitment. For a team of 20, that's $600-800/month for access to OpenAI's models only. There are better options — platforms that give you more models, more features, and significantly lower cost.
What ChatGPT Enterprise Includes
ChatGPT Enterprise ($30+/user/month, annual commitment, minimum seat requirement):
- GPT-5, GPT-4o, and other OpenAI models
- No usage caps (unlimited messages)
- Enterprise security (SOC 2, SSO)
- Admin console and team management
- Custom system prompts (GPTs)
- File analysis and web browsing
- Data privacy (conversations excluded from training)
What it does NOT include: Claude, Gemini, Grok, DeepSeek, or any non-OpenAI models. Your team is locked into one provider's ecosystem at a premium price.
The Core Problem with Single-Provider Enterprise AI
Different tasks need different models. Locking a team into one provider means:
- Using GPT-5 for writing tasks where Claude significantly outperforms it
- Missing Gemini 2.5 Pro for long-document analysis (2M token context vs GPT-5's 128K)
- No access to DeepSeek R1's specialized reasoning capabilities
- Paying a premium for vendor lock-in, not additional value
ChatGPT Enterprise Alternatives
| Platform | Price/User/Month | Models | Enterprise Features |
|---|---|---|---|
| ChatGPT Enterprise | $30+ | OpenAI only (GPT-5, 4o) | SSO, admin console, SOC 2 |
| bedda.ai Pro | $25 | 36+ models (all major providers) | Team workspaces, shared KB, model policy, audit logs |
| bedda.ai Plus | $12 | 36+ models | Team workspaces, shared knowledge base |
| Claude for Work | $25+ | Anthropic only | SSO, admin, audit logs |
| Gemini for Google Workspace | $20-30 | Google only | Integrated with Google apps |
What bedda.ai Teams Offers That ChatGPT Enterprise Doesn't
- 36+ models — GPT-5, Claude Opus 4.8, Gemini 2.5 Pro, Grok 4, DeepSeek R1, and more. Use the best model for each task, not just OpenAI's.
- Shared knowledge bases — Upload company documents, policies, and research once; every team member's AI automatically references them.
- Model access policies — IT can restrict which models are available, set monthly cost caps per team, and control access at the team level.
- Platform bots — Slack, Teams, Discord, Telegram integration. Your team can use AI directly where they already work.
- Audit logs — Complete logs of AI interactions for compliance, same as ChatGPT Enterprise.
- Real-time collaboration — Multiple team members can work on the same chat thread.
What ChatGPT Enterprise Has That bedda.ai Doesn't
- SOC 2 Type II certification (bedda.ai is in process)
- SAML SSO (bedda.ai has WorkOS SSO for Max plan)
- Enterprise SLA and dedicated support
- Custom model fine-tuning (only available on OpenAI directly)
For most SMBs and mid-market companies, the missing items above are not blockers. Large enterprises with strict compliance requirements may still prefer ChatGPT Enterprise for the SOC 2 certification.
Cost Comparison: 20-Person Team, 1 Year
| Option | Per User/Month | 20 Users/Year | Models |
|---|---|---|---|
| ChatGPT Enterprise | ~$30 | $7,200 | OpenAI only |
| bedda.ai Pro | $25 | $6,000 | 36+ models |
| bedda.ai Plus | $12 | $2,880 | 36+ models |
A 20-person team switching from ChatGPT Enterprise to bedda.ai Plus saves $4,320/year — while gaining access to 35 more AI models.
The Right Choice Depends on Your Compliance Needs
If your company requires SOC 2 Type II certification today: ChatGPT Enterprise or Claude for Work are the current options.
If your priority is value, model diversity, and team productivity: bedda.ai provides significantly more for significantly less. For most companies that aren't enterprise with formal compliance audits, the trade-off strongly favors bedda.ai.
36+ AI models for your team — starting at $12/user/month
Team workspaces, shared knowledge base, model policy controls, audit logs, and platform bots — 60% less than ChatGPT Enterprise.