ChatGPT Team is now ChatGPT Business. OpenAI renamed the plan on August 29, 2025. The product did not disappear, but the name, pricing, and buying questions have changed. This guide explains what ChatGPT Business costs in 2026, what teams get, where the collaboration model may fall short, and which alternatives fit different kinds of work.
If your team is deciding whether to buy ChatGPT Business, start with one question: do you mainly need individual access to OpenAI inside a managed workspace, or do you need people and AI working together in shared, persistent projects?
ChatGPT Team vs. ChatGPT Business: the quick answer
| Question | Current answer |
|---|---|
| Is ChatGPT Team discontinued? | No. OpenAI renamed it ChatGPT Business on August 29, 2025. |
| Standard-seat price | $20 per user per month with annual billing, or $25 with monthly billing |
| Premium-seat price | $100 per user per month with annual billing, or $125 with monthly billing |
| Team size | 2 to 200 paid seats |
| Best fit | Teams that want managed access to OpenAI models and business controls |
| Main buying question | Do you need managed individual AI access, or a shared workspace where people and AI execute work together? |
OpenAI documents the Team-to-Business rename and maintains current seat prices on its business pricing page. Check those pages before purchasing because limits and included features can change.
What ChatGPT Business costs in 2026
Standard seats
- $20 per user per month when billed annually
- $25 per user per month when billed monthly
- Two-seat minimum
Premium seats
- $100 per user per month when billed annually
- $125 per user per month when billed monthly
- Five times the usage allowance of a Standard seat
- No five-hour usage cap
ChatGPT Business supports teams of two to 200 paid seats. OpenAI directs larger deployments toward ChatGPT Enterprise. The practical result is a wide price range: a small team can start with a few Standard seats, while a group with heavy agent or coding usage can assign Premium seats selectively.
What ChatGPT Business includes
ChatGPT Business is a meaningful upgrade from buying unrelated individual accounts. Teams get a managed workspace, centralized billing, administrative controls, and access to OpenAI’s business products in one environment.
The strongest reasons to choose it are straightforward:
- Direct access to OpenAI’s ecosystem. Teams that already prefer ChatGPT, Codex, and OpenAI’s business tools do not have to add another vendor.
- A managed workspace. Administrators can provision seats, manage membership, and keep company use separate from personal accounts.
- Business data handling. OpenAI states that business data is not used to train its models by default.
- Shared organizational resources. Teams can distribute approved GPTs, projects, and workspace resources instead of rebuilding the same setup account by account.
- Flexible seat types. Standard and Premium seats let a company spend more on users who need substantially higher limits.
For teams whose main goal is giving each employee a capable AI assistant under one account structure, that package can be enough.
Where ChatGPT Business can fall short for team collaboration
The word Business can imply that the product works like a shared operating environment. That is not always how teams experience it. A managed workspace and true multi-user execution are different things.
Sharing work is not the same as working together
Many AI products are organized around one person prompting one assistant. The work can be shared afterward, but the core interaction remains individual. That is fine for drafting an email, analyzing a spreadsheet, or writing code alone.
It becomes awkward when the work itself belongs to a group:
- A product lead needs to add context to an analyst’s research thread.
- A researcher wants a collaborator to challenge the evidence without creating a disconnected copy.
- An operations team needs an agent’s findings, decisions, and follow-up tasks to stay visible to everyone.
- A manager wants to see not only the final answer, but the sources, assumptions, and instructions that produced it.
Before buying, test the exact workflow your team needs. Ask two or three people to work on one real task, hand it off, revise it, and return to it a week later. The friction in that exercise matters more than the feature checklist.
Team context can fragment
Individual memory and personal instructions are useful, but they are not the same as an institutional memory that a whole team can inspect and build on. If project context lives across personal chats, copied documents, and separate forks, people spend time re-explaining decisions that should already be part of the workspace.
Documents may still leave the AI workspace
ChatGPT can generate and edit useful work. Teams often move the result into Google Docs, Notion, a project tracker, or another system for human review. Every handoff is another place for context and source links to disappear.
One provider may not fit every job
OpenAI models are strong general-purpose tools. Some teams still want Claude for long-form analysis, Gemini for Google-centric work, or specialized research and coding systems. A single-provider workspace is simplest when the provider fits nearly every important task. It is more limiting when teams regularly compare models or route work by cost, speed, or capability.
ChatGPT Business vs. CoChat
ChatGPT Business and CoChat solve different versions of the team-AI problem.
| Need | ChatGPT Business | CoChat |
|---|---|---|
| Primary model ecosystem | OpenAI | Multiple model providers |
| Managed team access | Yes | Yes |
| Shared project context | Workspace and project resources | Shared projects, chats, files, artifacts, and durable context |
| Multi-user AI conversations | Test against your exact workflow | Built around people and AI collaborating in the same conversation |
| Research verification | General web and research tools | Paper search, full-text retrieval, citation verification, and evidence-linked outputs |
| Reusable outputs | Chats, files, canvases, and GPTs | Editable documents, dashboards, literature review tables, diagrams, presentations, and other artifacts |
| Recurring execution | OpenAI business tools and agents | Scheduled assistants, recurring responsibilities, integrations, and team-visible results |
Choose ChatGPT Business when your team wants OpenAI first, employees mostly work independently, and centralized administration is the main requirement.
Choose CoChat when work needs to stay visible across a team, several people contribute to the same AI thread, projects need persistent shared context, or the deliverable must remain connected to its sources and workflow.
Try CoChat free with one real team workflow and compare the handoff, context, and final output directly.
Other ChatGPT Business alternatives
Microsoft 365 Copilot
Best for: Organizations already centered on Microsoft 365.
Copilot works inside Word, Excel, PowerPoint, Outlook, and Teams. That makes it a practical choice when collaboration already happens in Microsoft’s applications and the goal is to add AI without moving the work elsewhere.
Claude for Work
Best for: Teams that prefer Anthropic’s models for analysis, writing, or coding.
Claude offers business administration and team plans around Anthropic’s model ecosystem. As with ChatGPT Business, test how shared context and handoffs work on a real team project rather than assuming a managed plan means a fully collaborative conversation.
Google Workspace with Gemini
Best for: Teams whose documents, email, meetings, and files already live in Google Workspace.
Gemini’s advantage is proximity to the work. If the team spends the day in Gmail, Docs, Sheets, Meet, and Drive, embedded assistance can matter more than a separate AI workspace.
Notion AI
Best for: Teams that treat Notion as their operating system.
Notion AI keeps writing, search, and summaries close to the wiki and project documentation. It is less attractive when the team’s work lives across many systems or requires deeper agent automation.
How to choose the right team AI plan
- Pick one real workflow. Do not test with a generic prompt. Use a weekly research brief, product decision, incident review, proposal, or client report.
- Include a handoff. Have one person start, another revise, and a third approve the work.
- Return after several days. Check whether the context, sources, decisions, and open tasks are still easy to understand.
- Inspect the deliverable. Can the team edit, export, cite, and reuse it without rebuilding it elsewhere?
- Test governance. Confirm who can see the project, which integrations are allowed, and how an administrator reviews agent activity.
- Price the workflow, not only the seat. A cheaper plan can cost more if people repeatedly copy context, reconcile versions, or recreate work.
Frequently asked questions
Did OpenAI discontinue ChatGPT Team?
No. OpenAI renamed ChatGPT Team to ChatGPT Business on August 29, 2025. Existing Team customers moved to the Business name.
How much does ChatGPT Business cost?
Standard seats cost $20 per user per month with annual billing or $25 with monthly billing. Premium seats cost $100 annually or $125 monthly per user. OpenAI requires at least two paid seats.
How many users can ChatGPT Business support?
OpenAI positions ChatGPT Business for teams with two to 200 paid seats. Larger organizations are directed to ChatGPT Enterprise.
Is ChatGPT Business the same as ChatGPT Enterprise?
No. Business is the self-serve plan for teams. Enterprise is designed for larger organizations that need contracted deployment, support, and advanced controls.
What is the best ChatGPT Business alternative?
It depends on the workflow. Microsoft 365 Copilot fits Microsoft-centered organizations, Gemini fits Google-centered teams, Claude fits teams committed to Anthropic, Notion AI fits Notion-centered work, and CoChat fits teams that need shared conversations, persistent project context, multiple models, editable artifacts, and recurring agent execution.
The bottom line
ChatGPT Team did not vanish. It became ChatGPT Business, with current Standard and Premium seat options for teams of two to 200.
The more important question is what your team expects the workspace to do. If the goal is managed individual access to OpenAI, ChatGPT Business is a strong candidate. If the goal is people and AI working together across shared conversations, projects, evidence, deliverables, and recurring tasks, compare it with a workspace designed around team execution.
Start a shared CoChat project and test the difference with your team’s next real task.
Comparing research platforms too? See our guide to the best AI research tools in 2026.
