If your business does not run everything through Microsoft 365, the shortlist often comes down to two names: ChatGPT and Claude. Both are excellent. Both will draft an email, summarise a report and explain a spreadsheet.

The prices are remarkably similar too. For one person, ChatGPT Plus and Claude Pro both start at $20 a month. For an organisation, ChatGPT Business and Claude Team both start at $20 per person per month billed annually, or $25 billed monthly, with a minimum of two users. Both companies publish in dollars, so what you actually pay in sterling moves with the exchange rate and your local tax.

That split matters more than it looks. Plus and Pro are personal subscriptions. If you are buying licences for a team, the plans to compare are ChatGPT Business and Claude Team, and the difference there is not the money. It is who owns the account.

So the honest answer to "which is better?" is that in 2026 this is barely a question about which model is cleverer. For everyday email, documents, research and analysis, the gap has closed to the point where most teams will not feel it. The question worth asking is which of the two your people will actually use well. This note compares them on that, not on benchmarks.

For most small teams the difference between the two is smaller than the difference between using either one well and using it badly.

Where they are basically the same

Everyday drafting, rewriting, summarising and answering questions: both do this well, and your team will not notice a meaningful gap. Both offer standing instructions about your business, projects or spaces where you keep related work together, and connectors that let them search sources like your files and email. Both have free tiers good enough to learn on.

  • Research. Both can search the live web, follow a question across several sources and come back with a cited report. ChatGPT tends to reach for the web more readily in ordinary conversation. Claude's dedicated Research mode does the same sustained work when you ask for it explicitly, and both show you their sources.
  • Data and spreadsheets. Both can read a CSV or Excel file, run Python over it, find patterns, build charts and hand you back a new spreadsheet. ChatGPT has the longer track record here and Claude has caught up quickly. For normal business analysis, how good your question is and how tidy your data is matter far more than which one you picked.

Where ChatGPT tends to win

  • Familiarity. Most people who have used any AI tool have used ChatGPT. If your team includes reluctant starters, meeting them where they already are counts for a lot.
  • Breadth of extras. Image generation and editing, a mature voice experience, and a large catalogue of ready-made GPTs and integrations. Claude has voice now too, along with design tools and its own skills and connectors, but ChatGPT remains the broader general-purpose toolbox, especially when the work involves generated images. Claude does not produce photos or illustrations at all. It draws charts and diagrams instead.

Where Claude tends to win

  • Long documents. Claude is particularly strong at reading long, messy material: contracts, tender documents, board packs, and answering carefully against what the document actually says.
  • Tone and judgement. Its writing tends to need less editing before it sounds like a person wrote it. For client-facing text, that saves real time.

When the job is bigger than a chat

Both products now go past answering prompts. Claude Cowork and ChatGPT Work take an outcome that needs several steps, work across your source material, and hand back finished files for you to review. On the desktop apps, both can work with folders on your own computer rather than waiting for you to upload every document one at a time.

Cowork feels particularly natural for file-heavy admin: sorting folders, combining documents, pulling information out of untidy source material. ChatGPT Work is broader, putting local files, connected tools, browser work, scheduled tasks and document creation in one place. This is an area to trial rather than a clear win for either, and it moved fast enough during 2026 that a feature list is now the wrong way to settle it.

What about data and privacy?

Both companies offer business plans where your data is not used to train their models, and both let individuals opt out on personal plans. Vendor terms still matter and somebody should read them. But the more immediate risk in most small businesses is not choosing the wrong vendor. It is staff pasting confidential material into unmanaged personal accounts nobody controls.

Opting out on a personal account is not the same as using a business workspace. The organisation plans add central ownership, administration and clearer terms about your organisation's data. That matters the day somebody leaves, or a client asks how their information is handled. It is a policy and training question as much as a tool question, and it is the same whichever you pick.

How to choose

Do not agonise, and do not buy fifty licences of either on day one. A sensible route:

  • If your team lives in Microsoft 365, trial Copilot first. Both of these can be connected to Microsoft data now, but Copilot is already built around it.
  • If the work is mainly writing, reviewing and interpreting long documents, lean Claude.
  • If the work spans writing, images, research and a wide variety of jobs, lean ChatGPT.
  • If local files and multi-step work matter, put Cowork and ChatGPT Work on the same real task and compare what comes back. That is no longer a decision to make from a feature list.
  • Whichever you choose, buy the organisation plan for organisational data, and run a one-month trial with two or three people before rolling it out widely.

Somewhere in 2026 this stopped being a question about which model is cleverer and became a question about which working environment your people will actually use well. That is decided by habit, by what the tool is connected to, and by how confident the person in front of it feels. Not by a spec sheet.

In training we use both, side by side, on the work your team actually does. People leave knowing which tool fits which job, which is worth more than any comparison article, including this one.

Written with Claude, then steered, cut and checked by me. I answer for it.

Finlay Carmichael
Finlay Carmichael
Finlay Carmichael is the founder of The AI Lab, helping teams put AI to practical use through hands-on training and clear advice. He brings nearly 30 years' experience building and leading a Microsoft Business Solutions partner, working with hundreds of clients across the UK. Request a call

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