Claude vs ChatGPT for Business: Costs, Data and Which to Pick (2026)

Claude and ChatGPT now cost exactly the same for a business. Claude Team and ChatGPT Business are both $20 per seat per month on annual billing, or $100 for a premium seat with more usage. Both keep your data out of model training by default, and both connect to Google Workspace and Microsoft 365, plus Slack. So the choice comes down to three things. Where does your team's work already live? What do your heaviest users do all day? And who will look after it once it's switched on? Prices and plan details below were checked on each vendor's own pricing page on September 30, 2026.

What does each one cost for a team of 10 to 50 people?

List prices per month, with everyone on a standard seat and annual billing.

Monthly billing adds $5 a seat on both ChatGPT and Claude. Copilot Business is an add-on at $21 per user with a yearly commitment, and you can only buy it on top of an eligible Microsoft 365 business plan. When we checked, Microsoft was offering it at $18 for the first year.

Most companies end up with a mix. Say 20 people use it lightly and 5 use it all day. On either ChatGPT or Claude that's 20 standard seats plus 5 premium ones, which comes to $900 a month or $10,800 a year. Buying premium for all 25 would cost $2,500 a month. Start everyone on standard and upgrade the few who actually hit the limits.

Enterprise plans are where the two diverge. ChatGPT Enterprise is priced by quote. Claude Enterprise is $20 per seat plus usage at API rates, so the bill rises and falls with how much your team uses it. If you're heading there, our LLM cost calculator gives you a feel for what usage costs on current models.

Do they train on our company data?

No, on either business plan, by default. Anthropic's pricing page says Team and Enterprise get no model training on your content by default, and OpenAI makes the same commitment for Business and Enterprise.

The catch is the people who aren't on the business plan. In most companies that haven't picked a tool yet, staff are already pasting customer emails and spreadsheets into personal accounts they pay for themselves. Those accounts don't come with your company's data terms, admin controls or the ability to remove someone when they leave. One reason to choose soon is simply to bring that usage inside an account you control.

We're a Microsoft shop. Is Copilot the default?

If most of your work happens in Outlook and Teams and the Office apps, price Copilot before anything else. It works inside those apps and already sees your email and calendar, plus the files you have access to, through your existing Microsoft 365 permissions. There's no separate login and no second vendor to set up.

It has also become less of an either-or. Since January 2026, Anthropic's Claude models have been switched on in Copilot for most commercial customers by default, and in May they came to Copilot inside the Office apps themselves (Word, Excel, PowerPoint). So a Microsoft shop can get some of Claude's strengths without buying Claude. Customers in the UK and EU have to opt in.

Where Copilot falls short is outside Microsoft's own apps. Teams that spend their day in a CRM, a help desk or Google Docs, or that want a general assistant for research and long writing, often find Copilot narrower than ChatGPT or Claude. A common setup is Copilot for everyone, plus a few ChatGPT or Claude seats for the people who do heavy analysis or writing.

If you run on Google Workspace, the same logic applies to Gemini. It's already built into Gmail and Docs on the Business Standard plan and up. Try what you're paying for before adding a second tool.

Which one is better at the work your team actually does?

There is no general winner, and anyone who tells you otherwise is guessing about your work. This is how the two differ in practice, as of September 2026.

In our own work we use both. Claude tends to win with teams that write proposals and contracts, where tone and accuracy over many pages matter. ChatGPT tends to win where people want one tool for everything, including images and voice, and where staff already know it from home.

The honest test is cheap. Give five people seats on both for two weeks. Pick tasks they really do, such as answering a tricky customer email, summarizing a 40-page contract, or building next quarter's forecast from last quarter's spreadsheet. At the end, ask which tool they reached for without being told. That answer beats any comparison table, including this one.

What can each one connect to?

Both now reach into the tools where your company's knowledge lives. ChatGPT Business lists Google Workspace and Microsoft 365 among its connectors, along with Slack and GitHub. Claude Team connects to Google Drive, Gmail, Google Calendar, Microsoft 365 (SharePoint, OneDrive, Outlook and Teams), Slack and GitHub. If an admin allows it, both can also take actions, like drafting emails or updating files, in addition to reading.

The gap shows up with your own systems: the CRM, the order database, the quoting tool, the internal app nobody outside your company has heard of. Neither vendor ships a connector for those. They have to be built, usually as an MCP server, a small connector that gives AI assistants controlled access to one system. Build it once and it works with both ChatGPT and Claude, which keeps you free to switch later. Our guide to MCP servers and APIs explains what that involves.

If you built custom GPTs with actions that talk to your systems, that connection has to be rebuilt anyway. OpenAI retires custom GPTs on December 11, 2026. See what breaks and what to do.

What goes wrong in a company rollout?

The tool is rarely the problem. These are the failures we see most.

• Everyone gets a premium seat on day one, and half of them never come close to the standard limits.
• Connectors are switched on before anyone decides what the AI should see. On ChatGPT Business they are enabled by default, so review them in the admin settings before inviting the team.
• There's no written rule for what goes into the tool. People either paste everything or avoid it entirely. A one-page policy fixes both.
• Personal accounts keep running alongside the company one, so customer data still leaves through the side door.
• Nobody owns it. Six months later there are 40 half-finished assistants, nobody knows which ones work, and the person who built the useful ones has left.

The last one gets more expensive the more you build. Gartner predicted on September 29, 2026 that 70% of large companies will abandon AI agents built for them by a vendor's engineers by 2028, because costs climb and they can't change the system themselves. Its advice applies at any company size. Agree who owns what gets built, insist the knowledge is handed over, and plan your exit before you sign. Whoever builds your assistants and connectors, make sure the accounts, instructions and code sit in your name.

Our take

For most companies with 10 to 50 people, our rule is short.

Whichever you pick, the seats are the cheap part. Most of the value comes from connecting the assistant to your own systems and deciding who looks after it. If you're working out the cost of that next step, our guide to what AI automation really costs breaks it down.