
ChatGPT Enterprise
7.3/10OpenAI's top workplace tier of ChatGPT, adding agentic work, coding, company knowledge search, and enterprise security and governance controls for large organizations.
Data last updated November 2026 · Our methodology
Overview
ChatGPT Enterprise is OpenAI's sales-led workplace plan for ChatGPT. It includes the core chat assistant for writing, analysis, image generation, voice, and web search. It also includes deep research, custom GPTs, company knowledge search across connected apps, ChatGPT Work for longer multi-step agent tasks, and Codex for coding. Compared with the self-serve Business plan, Enterprise adds SCIM provisioning, custom role-based access control, Enterprise Key Management on AWS, GCP, or Azure, a compliance logs platform, IP allowlisting, custom data retention, zero data retention options, data residency across multiple regions, HIPAA BAA eligibility, and 24/7 priority support with SLAs. Third-party sources also report a 128K context window, compared with 54K on Business. Connectors include Microsoft 365, Google Drive, Slack, GitHub, Linear, and Figma, and admins can restrict apps and actions by group. OpenAI does not publish a price. Contracts are annual, invoiced, and negotiated. Independent analysts report roughly 45 to 75 dollars per user per month and a minimum of about 150 seats, but OpenAI has not confirmed these figures. Some newer agreements meter agent and Codex usage through credits or token rates, with multipliers for long context, fast mode, and regional processing. The plan suits large organizations that want broad employee access to frontier OpenAI models under central governance. Its main limitation is cost predictability: the price is opaque, and usage-based charges for agentic work can push spend well beyond the seat fees.
Our Rating
Who ChatGPT Enterprise is best for
Good fit
The plan has a reported seat minimum of about 150 and adds SCIM, EKM, compliance logs, and data residency, all aimed at large organizations.
Deep research, document analysis, and data residency suit knowledge-heavy firms that handle client data.
Less suited
Larger mid-market firms can qualify, but the reported 150-seat floor and negotiated contracts make the Business plan more practical for many of them.
The seat minimum and sales-led contracts point small firms to the self-serve Business plan instead.
Startups are better served by the Business plan, which has a 2-seat minimum and monthly billing.
Pros & Cons
Pros
- The enterprise governance set goes well beyond the Business plan, including SCIM, custom RBAC, customer-managed encryption keys on AWS, GCP, or Azure, and a compliance logs API.
- Data residency across multiple regions and HIPAA BAA eligibility make the plan usable in regulated industries.
- One seat bundles chat, deep research, image generation, voice, the ChatGPT Work agent, and Codex, so teams don't need separate AI tools for each task.
- Admins can set monthly per-user credit limits, overage caps, and alerts to govern agent and Codex spending.
- Connectors for Microsoft 365, Google Drive, Slack, and GitHub let company knowledge search answer questions from internal data.
Cons
- There is no public pricing. Per-seat figures come only from third-party estimates, and contracts are negotiated case by case.
- Usage-based charges for Work and Codex, with multipliers for long context, fast mode, and regional processing, make total cost hard to predict.
- The reported 150-seat minimum and annual commitment exclude smaller teams.
- Compliance logs for Work keep prompts for only 30 days and are not a full audit trail of tool calls, so a separate SIEM export is needed for longer retention.
- PeerSpot reviewers report context limits on very long documents and want finer per-team control over tone and response constraints.
Key Features
ChatGPT Enterprise Pricing
Enterprise
- 24/7 priority support with SLAs
- Custom quote, annual invoiced contract
- 128K context window (reported by third parties)
- Credit- or token-based billing for agent and Codex usage
- SCIM, custom RBAC, Enterprise Key Management, compliance logs
- ChatGPT Work agent, Codex, deep research, custom GPTs, company knowledge
- Data residency, IP allowlisting, custom retention, HIPAA BAA eligibility
- Reported minimum of about 150 seats and roughly 45 to 75 USD per user per month (third-party estimates, not confirmed by OpenAI)
Frequently Asked Questions
OpenAI does not publish a price, so you need a quote from sales. Third-party analyses report roughly 45 to 75 USD per user per month, with a minimum of about 150 seats on annual contracts. OpenAI has not confirmed these figures.
Possibly. ChatGPT Work and Codex share credits and usage limits, and some newer Enterprise agreements bill agent and Codex usage by credits or tokens. Admins can set per-user credit limits and overage caps.
No. Business data is not used for training by default. Enterprise also offers zero data retention options and custom retention policies.
SAML SSO, domain verification, SCIM provisioning with group sync, custom role-based access control, and app and plugin policies. Workspace-wide MFA is not enforced by ChatGPT, so it should be set in your identity provider.
Yes. Enterprise supports data residency in several regions, including the US, Europe, and Japan. Some app connectors and features have narrower regional support.
Business is self-serve, starts at 2 seats, and costs 20 USD per user per month on annual billing or 25 USD on monthly billing. Enterprise adds SCIM, RBAC, EKM, compliance logs, full data residency, a HIPAA BAA, a larger context window, and SLA-backed support.
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