CompareChatGPT Enterprise
Fig vs. ChatGPT Enterprise
ChatGPT Enterprise gives your company OpenAI's models with enterprise admin controls, plus agents and a context layer to go with them. Fig routes every task to the right frontier model from any lab, grounds it in how your business actually works, and bills for usage alone.
Fig vs. ChatGPT Enterprise, in short
Fig and ChatGPT Enterprise both give a whole company frontier AI with enterprise controls. The differences: ChatGPT Enterprise runs OpenAI's models only and is priced per seat with agent credits on top, while Fig routes across models from multiple labs, lives natively in Slack, and has no seats at all — usage is billed from one shared pool. Fig adds Enterprise Graph company context inside the same product; OpenAI's equivalent, Frontier, is a separate enterprise platform.
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| Feature | Fig | ChatGPT Enterprise |
|---|---|---|
| Getting started | Self-serve today. No seat minimum, no sales cycle to begin. | Sales-led, with seat minimums on annual contracts. |
| Pricing model | Usage only. No seats; unlimited members; one shared credit pool. | Per seat — commonly $45–75/user/mo reported — plus credits for Workspace Agents. |
| Models | Frontier models from multiple labs, routed per task. | OpenAI models only. |
| Where it runs | Slack (in-channel), desktop, mobile, and web. | Web, desktop, mobile; a sidebar app in Slack. |
| Connectors & actions | Native connectors, computer use, MCP, approval gates on actions. | Synced connectors; third-party connectors off by default. |
| Company context | Enterprise Graph: people, teams, projects, activity; follows source permissions. | Document retrieval in ChatGPT; deeper context via the separate Frontier platform. |
| Agents | Agent Builder, Orchestration, Governance — on the same usage pool. | Workspace Agents, credit-billed on top of seats. |
| Admin & compliance | SSO (SAML/OIDC), SCIM 2.0, scoped roles, audit export, break-glass re-auth. | SSO, SCIM, Compliance API, published SOC 2 reporting. |
| Deployment | Managed cloud platform. | Managed cloud. |
Included Partial or with conditions Not offered
No seats. Team members are free to add, and usage is billed from your team's shared credit pool — heavy users draw on credit lighter users don't need, and you only pay for what the team actually consumes.
See how usage pricing works →Contracts are typically quoted in the $45–75 per user/month range, often with seat minimums (commonly cited around 150 seats) on annual terms, and Workspace Agent usage is billed on credits in addition to seats. Reported figures vary by deal size and negotiated terms.
Fig doesn't publish a comparable per-seat number because there isn't one — pricing scales with usage, not headcount.
The ChatGPT your people open every day runs OpenAI's models — full stop. Fig routes each task to the model best suited for it across multiple frontier labs, so a change in any one vendor's roadmap, pricing, or availability doesn't become your company's roadmap, pricing, or availability. Admins decide per team which models are in play.
OpenAI's answer to company context is Frontier: a separate enterprise platform that gives agents shared business context, identities, and permissions, launched with customers the size of HP, Intuit, Oracle, and State Farm. Fig's Enterprise Graph does that work — mapping the people, teams, projects, and activity behind your data — inside the same platform every team member already uses, for companies that aren't running a Frontier-scale program.
ChatGPT has an official Slack app: a sidebar where you chat with it one-on-one. Fig runs in-channel, alongside desktop, mobile, and web — the assistant is in the conversation, not beside it. For teams that live in Slack, that's the difference between opening a panel and just asking.
Teams that want model flexibility instead of a single-vendor bet, usage-based economics instead of seat math plus agent credits, and an assistant embedded directly in Slack and the tools they already run.
Organizations standardized on OpenAI's models, whose procurement requires a published SOC 2 program and a Compliance API on day one, or that are large enough for a Frontier-scale rollout, and are comfortable with per-seat licensing.
No. There are no seats or per-member charges — team members are free to add. Usage is billed from your team's shared credit pool, so you pay for what's actually used, not for every login.
Yes. Fig is model-agnostic and routes tasks across frontier models from multiple labs rather than locking your company to a single vendor's model family.
Yes. Fig supports SSO through any SAML or OIDC identity provider with home-realm discovery on your verified domains, SCIM 2.0 provisioning for users and groups, owner/admin/member roles with scoped permissions, and an exportable append-only audit log. Sensitive admin changes — editing SSO, minting a SCIM token — require a fresh sign-in.
Yes — Fig runs in-channel in Slack, not just as a sidebar app or a data connector, alongside desktop, mobile, and web.
Both give AI shared context about how your business works. Frontier is a separate enterprise platform, launched with very large companies, that sits alongside ChatGPT. Fig's Enterprise Graph is part of the same platform your team already uses day to day, so context, assistants, and agents share one system and one usage-based bill.
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