Microsoft Copilot vs ChatGPT: Which Should You Use at Work?

Microsoft Copilot and ChatGPT get compared as though they were two versions of the same thing, and the confusion is understandable: for a long stretch, Copilot ran on OpenAI's models. Ask either one a general question and you will often get a similar answer in a similar voice.

But they are not competing on answer quality. They are competing on what they can see. ChatGPT is a standalone assistant that knows whatever you paste into it or connect to it. Microsoft 365 Copilot sits inside your company's tenant and can read your email, your files in SharePoint and OneDrive, your Teams messages and your calendar, without you uploading anything.

That single difference decides most of the comparison. This guide works through it use case by use case, with a verdict on each rather than a table of ticks. One caveat first: prices and model line-ups in this category change every few weeks. The figures below are a September 2026 snapshot — check both vendors' pricing pages before committing a budget.

The Short Answer

Choose Microsoft 365 Copilot if your work already lives in Microsoft 365 and the value is in answers grounded in your own organisation's content. Summarising a Teams meeting you missed, finding the current version of a contract, drafting a reply that references the last four emails in a thread — Copilot does these because it has permissioned access to the underlying data. ChatGPT cannot, unless you hand it the files.

Choose ChatGPT if you want the strongest general-purpose assistant and the widest feature surface: deep research, image generation, video, voice, custom GPTs, a coding agent, and a browser. It is also considerably cheaper per seat at the individual level, and it does not require any particular corporate software stack.

Choose both if you can justify it, and many companies do. Copilot handles anything that touches internal documents; ChatGPT handles open-ended thinking, research and creative work. The overlap is smaller in practice than the marketing suggests.

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Is Copilot the Same as ChatGPT?

No — and the answer has changed meaningfully over the past year.

For most of Copilot's life, the models underneath it came from OpenAI, which is why the two products so often sounded alike. That is no longer the whole picture. Microsoft has added Anthropic's models as an option inside Microsoft 365 Copilot and Copilot Studio, and has been moving its own in-house MAI models into production for parts of the product.

So Copilot is now a multi-model product with a routing layer you mostly do not see. Some requests may hit an OpenAI model, some an Anthropic one, some a Microsoft one. ChatGPT, by contrast, runs OpenAI's own models exclusively, and lets you pick between them.

The practical upshot: do not assume a prompt that works brilliantly in ChatGPT will behave identically in Copilot, even on a good day. And do not assume Copilot is "just ChatGPT in a Microsoft wrapper" — the wrapper, and increasingly the engine, are the product.

Which product is which

Microsoft's naming has been a persistent source of confusion. Three distinct things carry the Copilot name:

• Microsoft Copilot (free). Web and app chat, grounded in web search. Available at no cost through the browser, Edge, and the desktop and mobile apps. It cannot see your work files.
• Copilot in a consumer Microsoft 365 subscription. Copilot inside Word, Excel, PowerPoint, Outlook and OneNote, for the subscription owner, subject to AI usage credits. The Microsoft 365 Premium tier sits at roughly $19.99 a month and replaced the discontinued Copilot Pro.
• Microsoft 365 Copilot (business). Around $30 per user per month on an annual commitment, on top of a qualifying Microsoft 365 base subscription. This is the only one grounded in your organisation's data through Microsoft Graph.

GitHub Copilot is a separate product entirely — a coding assistant in your editor, licensed and priced on its own. If a coding tool is what you are actually shopping for, our comparison of Claude Code vs GitHub Copilot is the more relevant read.

Cost: ChatGPT Wins on Price, Copilot on What Is Bundled

At the individual level the gap is wide. A ChatGPT Plus seat runs about $20 a month, with a cheaper Go tier below it and a free tier that is genuinely usable for light work. Microsoft 365 Copilot for business is roughly $30 per user per month and requires annual commitment plus an underlying Microsoft 365 licence you may or may not already pay for.

But the comparison is not apples to apples. The $30 buys tenant-wide grounding, admin controls, data-residency commitments and Copilot inside the Office apps your team already has open all day. If your organisation is on Microsoft 365, a large part of the platform cost is already sunk.

There is also a middle option people miss: Copilot Chat is included with Microsoft 365 business plans at no extra per-seat cost. It is web-grounded rather than work-data-grounded, so it does not do the thing Copilot is famous for — but it is a reasonable free baseline before you license the add-on.

Laid out side by side, at September 2026 list prices:

• Free: Microsoft Copilot web chat, or ChatGPT's free tier. Both usable, neither touching your work data.
• Around $8-20 a month, one person: ChatGPT Go or Plus. The best capability-per-dollar in this comparison.
• Around $19.99 a month, one person: Microsoft 365 Premium, which bundles Copilot in the Office apps with the rest of a consumer Microsoft 365 subscription.
• Around $25-30 per seat, a team: ChatGPT Business, or Microsoft 365 Copilot as an add-on. Similar headline numbers, very different things bought.
• Custom: ChatGPT Enterprise, or Microsoft 365 Copilot at scale with Copilot Studio consumption on top.

Two things distort those numbers in practice. Copilot's annual commitment removes the option to cancel after a bad month, which matters more than the price difference for a first deployment. And ChatGPT's higher tiers buy usage headroom rather than new grounding — if your problem is that the assistant cannot see your files, no amount of extra spend on ChatGPT fixes it.

Verdict: ChatGPT for individuals and small teams paying out of pocket. Copilot only once the work-data grounding is the reason you are buying.

Working With Your Own Documents: Copilot, Clearly

This is Copilot's home ground and it is not close.

Ask Copilot to summarise the deck someone shared last Tuesday, or to pull the renewal dates out of the supplier agreements in a SharePoint library, and it can do it because the content is already indexed and your permissions already apply. Nothing gets uploaded. Nothing leaves the tenant boundary.

ChatGPT can work with documents, and its file handling is good — but you have to bring the files, or set up connectors, and you have to remember which version you brought. For a one-off analysis that is fine. For "what did we agree with this client", it is the wrong shape of tool.

Verdict: Microsoft 365 Copilot, decisively, provided you hold the add-on licence.

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Research and Open-Ended Thinking: ChatGPT

For questions where the answer is out in the world rather than in your file system, ChatGPT is the stronger tool. Its deep research mode will work a question for several minutes and come back with a sourced write-up. It handles long multi-step reasoning well, keeps context across a long conversation, and lets you choose which model handles the request — a meaningful lever when the task is hard. Our guide to which ChatGPT model to use covers that choice.

Copilot will answer web-grounded questions competently. It is just not where the depth is, and you cannot steer the model.

Verdict: ChatGPT.

Drafting and Editing Inside Office: Copilot

If the output needs to end up as a formatted Word document, a PowerPoint deck built on your template, or a formula in an existing workbook, Copilot's in-app integration saves real steps. It writes into the document you already have open, in the place you already are.

ChatGPT will produce better prose more often, in my experience — but it produces it in a chat window, and you then move it across and reformat it. For a single paragraph that is nothing. For a twelve-slide deck it is twenty minutes.

Verdict: Copilot for anything that must land inside an Office file. ChatGPT for the writing itself, if you do not mind the copy-paste.

Breadth of Features: ChatGPT

ChatGPT's surface area is much larger: image generation and editing, video, advanced voice, a canvas for collaborative editing, custom GPTs you can build and share, a coding agent, a browser, and a growing set of connectors to third-party apps. New capabilities land there first and reliably.

Copilot's feature set is narrower and more deliberately scoped to work tasks — and its extensibility story runs through Copilot Studio, which is a build-your-own-agent platform billed on consumption credits rather than a set of features you switch on.

Verdict: ChatGPT, by a wide margin, on raw capability count.

IT Control, Compliance and Data Handling: Copilot

For a regulated business this is often the whole decision. Microsoft 365 Copilot inherits your existing tenant controls: conditional access, retention and eDiscovery, sensitivity labels, audit logging, and the data-residency commitments already in your Microsoft agreement. Your admins manage it with the tools they already use.

ChatGPT's business and enterprise tiers have serious controls too — SSO, admin management, data excluded from training, compliance certifications — but you are adding a new vendor, a new admin surface and a new data-flow to document.

Verdict: Copilot in a Microsoft-standardised, compliance-heavy organisation. ChatGPT Enterprise is defensible everywhere else.

How to Decide in Practice

If you are choosing for a team rather than yourself, the decision is easier to make from evidence than from feature lists. A pilot that takes two weeks will tell you more than a month of comparison articles, including this one.

1. Write down the five tasks you actually want help with. Be specific: "summarise the weekly ops call", "draft client follow-ups", "clean up spreadsheets", not "improve productivity".
2. Sort them by where the input data lives. Anything whose input is already in SharePoint, Outlook or Teams points toward Copilot. Anything whose input is a blank page, the open web, or a file you would happily upload points toward ChatGPT.
3. Check what you already pay for. If you are on Microsoft 365 business plans, Copilot Chat is already included. Try it on the work-adjacent tasks before you license anything.
4. Run both on the same three real tasks. Not demo prompts — actual work, with the actual messy inputs. Both vendors offer trials or free tiers sufficient for this.
5. Have someone from IT review the data path. For Copilot that means confirming your sensitivity labels and permissions are in order. For ChatGPT it means documenting a new vendor relationship.
6. Price the winner per person who will genuinely use it daily, not per employee. Licence utilisation is where AI budgets quietly go to waste.

The output of that exercise is usually not "one tool". It is a short list of which people need which, which is a cheaper answer than buying everyone everything.

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Limitations on Both Sides

Copilot's answers are only as good as your file hygiene. Grounding in company data cuts both ways: if your SharePoint is full of outdated drafts and duplicate decks, Copilot will confidently cite them. Teams that roll it out without a content clean-up are often disappointed for reasons that have nothing to do with the AI.

Copilot's licensing is genuinely complicated. Annual commitment, a prerequisite base licence, separate consumer and business paths, a free tier with the same name, and consumption billing for agents. Budget for someone spending an afternoon working out what you actually need.

ChatGPT does not know your business. Every session starts from zero unless you have set up connectors, projects or memory deliberately. That is a feature for privacy and a cost in repeated context-setting.

Both hallucinate, and grounding reduces it rather than removing it. Copilot citing an internal document feels more trustworthy than a bare ChatGPT answer, and it usually is — but check that the cited document says what the summary claims. The false confidence of a plausible internal citation is its own risk.

Model churn affects both. Names, tiers and underlying models change often enough that any evaluation you run is a snapshot. Re-test before renewal rather than trusting a decision made nine months ago.

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The Other Options Worth a Look

Google Gemini. The same structural argument as Copilot, on the other side of the office-software divide: if your company runs on Google Workspace, Gemini's grounding in your Drive and Gmail is the equivalent advantage. Our Gemini vs ChatGPT comparison goes deeper.

Claude. Strong on long documents, careful analysis and writing quality, with business tiers and a well-regarded coding product. No native grounding in Microsoft or Google data, so it slots in alongside rather than instead.

Perplexity. Built for sourced, citation-first answers to research questions. Narrower than either product here, and better at the specific thing it does.

Copilot Chat plus ChatGPT. The pragmatic low-cost combination: use the Copilot Chat already bundled with your Microsoft 365 plan for light work-adjacent tasks, and pay for ChatGPT seats for the people doing heavy thinking. You lose work-data grounding, which may or may not matter for your team.

Final Thoughts

The honest framing is that these two products are not really substitutes. ChatGPT is the better assistant. Microsoft 365 Copilot is the better integration.

If you are one person deciding where $20 a month goes, buy ChatGPT. The capability per dollar is not close, and the free Microsoft Copilot tier covers the occasional Microsoft-flavoured task at no cost.

If you are deciding for a company on Microsoft 365, the question is narrower than "which AI is best". It is whether answers grounded in your own email, files and meetings are worth roughly $30 per user per month on top of what you already pay. For knowledge-heavy teams drowning in internal documents, that is often an easy yes. For teams whose AI use is mostly drafting and brainstorming, it is often an expensive way to buy something a $20 seat does better.

Run a genuine pilot on real work before you commit annually. And if your interest in all this is commercial — whether your own brand gets surfaced when buyers ask an assistant for recommendations — that is a separate discipline from either tool's feature list. Our step-by-step checklist for ranking in ChatGPT, Claude and Perplexity is the place to start.