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Comparison · AI assistants

ChatGPT vs Copilot vs Claude vs Gemini: which AI assistant fits your business?

An honest comparison of the four big AI assistants for employees, checked against each vendor's own pages. We train teams on all four and are paid by none of them.

The question nearly always arrives in the same shape. IT runs Microsoft 365, marketing uses ChatGPT on personal accounts, someone in legal swears by Claude, and leadership wants to know by the end of the quarter which AI assistant everyone gets.

The decision rarely comes down to the better model. It comes down to where your people work, which data the tool should see, and which terms your security and legal teams will accept. Disclosure: Specialty Tokens trains teams on all four tools and is paid by none of these vendors. Every statement about plans and data use below comes from the vendors' own pages, as of October 2026.

ChatGPT vs Copilot vs Claude vs Gemini: the short answer

  • Your company runs on Microsoft 365: start with Microsoft Copilot. Copilot Chat is included with eligible Microsoft 365 subscriptions; the paid Copilot license pays off for roles whose work lives in mail, meetings, and files.
  • Your company runs on Google Workspace: start with Gemini. It is already in Gmail, Docs, Sheets, Meet, and Drive.
  • You want one assistant for everyone, independent of Microsoft or Google: ChatGPT Business or Enterprise.
  • Your teams work with long documents, careful writing, or code, and you want to connect your own systems: Claude Team or Enterprise.
  • You want several models in one interface from a European provider: see our comparison of Langdock alternatives.

ChatGPT, Copilot, Claude, and Gemini compared

We compare where each tool lives, what data it sees, how the vendor handles that data, and how it connects to your systems. Benchmarks are left out on purpose, because they change faster than a rollout takes. Prices are left out too, because they vary by plan, term, and reseller.

ChatGPTMicrosoft CopilotClaudeGemini
Business plans (per vendor)Business (from 2 users), EnterpriseCopilot Chat (included with eligible Microsoft 365 plans), Microsoft Copilot add-on licenseTeam (from 2 members), EnterpriseGemini in Google Workspace (features vary by edition), Gemini Enterprise for agents
Where it livesIts own workspace: web, desktop, mobileOutlook, Teams, Word, Excel, PowerPoint, Copilot appIts own workspace: web, desktop, mobile; Claude Code for developersGmail, Docs, Sheets, Meet, Drive, Gemini app
StrengthsVersatile; custom GPTs, projects, deep research; familiar to many employeesWorks across the email, meetings, chats, and files a user can already openLong documents, careful writing, code; connectors and MCPNo new tool in a Workspace day; Gems; Gemini Notebook
LimitsSits next to the office suite; company data comes in through apps or uploadsFull value needs the add-on license; exposes overshared filesSits next to the office suite; new Enterprise plans bill usage on top of seatsStrong only when daily work happens in Google Workspace
Data use (per vendor)Business and Enterprise data not used for training by default; data residency for eligible Enterprise customersPrompts, responses, and Graph data not used to train foundation modelsTeam and Enterprise data not used for training by defaultWorkspace data not used for training without permission; existing permissions apply
Fits whenYou want one tool for everyone, independent of Microsoft or GoogleYour workday happens in Microsoft 365Documents, writing, code, or your own systems are the coreYour company runs on Google Workspace

ChatGPT

Strengths: ChatGPT handles almost everything well, from drafting to data analysis. Teams share custom GPTs, organize work in projects, research with deep research, and connect internal sources through apps. Eligible Enterprise customers can store data at rest in the US, Europe, the UK, and several other regions, according to OpenAI.

Fits when you want one tool for every department that does not depend on Microsoft or Google, or when personal ChatGPT accounts are already in use and you want to bring that work into a managed workspace.

Doesn't fit when most work happens in Outlook and Teams and Copilot is already licensed there. Healthcare teams should note that OpenAI offers a HIPAA business associate agreement for ChatGPT for Healthcare and API customers, not as a standard part of ChatGPT Business.

Microsoft Copilot

Microsoft has renamed Microsoft 365 Copilot to Microsoft Copilot and Microsoft 365 Copilot Chat to Microsoft Copilot Chat.

Strengths: Copilot Chat is included with eligible Microsoft 365 subscriptions, and in Outlook it can already answer questions across a user's mail, calendar, and meetings. The paid Copilot license reasons across email, meetings, chats, and files the user has access to, and adds agents such as Researcher and Analyst. Permissions, sensitivity labels, and retention policies apply to Copilot too. Microsoft says Copilot supports HIPAA compliance for properly configured implementations, except for web search queries.

Fits when your workday happens in Outlook, Teams, Word, and Excel and IT already manages Microsoft 365.

Doesn't fit when your company does not run on Microsoft 365, or when sharing in SharePoint and Teams is a mess: Copilot finds whatever is shared too widely. One more detail: in US commercial tenants, Microsoft turns Anthropic's Claude models on by default inside Copilot, while in the EU, EFTA, and UK they are off by default.

Claude

Strengths: Claude is strong on long documents, careful writing, and code. According to Anthropic, even the Team plan includes connectors to Microsoft 365, Google Drive, Gmail, Google Calendar, Slack, and GitHub, plus projects, Claude Code, and Cowork. Other systems connect through the Model Context Protocol (MCP), the open standard Anthropic created.

Fits when your teams work on contracts, reports, proposals, or code, or when Claude should connect to your CRM, ERP, or file storage.

Doesn't fit when people mainly need help inside their mailbox and meetings; Copilot or Gemini sit closer to that work. If you need a fixed cost per head, note that on new Enterprise plans the seat fee covers access only and usage is billed at API rates, per Anthropic. Enterprise customers who turn on US-only inference pay 1.1x standard API rates on recent models.

Gemini

Strengths: Gemini is built into Gmail, Docs, Sheets, Meet, and Drive, so nobody has to open a new tool. Add the Gemini app, Gems for recurring tasks, and Gemini Notebook (called NotebookLM until July 2026), which works with the sources you give it. According to Google, Gemini in Workspace and the Gemini app hold FedRAMP High authorization and can support HIPAA workloads. Gemini Enterprise is Google's platform for agents beyond Workspace.

Fits when your company runs on Google Workspace, where Gemini is often already paid for and simply not used yet.

Doesn't fit when your company runs on Microsoft 365. Also check Gemini Notebook separately: Google says it is not covered by its BAA or FedRAMP authorization, and Workspace data region settings do not apply to it.

Should you combine them?

Many companies do: one standard tool for everyone, usually Copilot Chat or Gemini because it comes with the office suite, plus ChatGPT or Claude for teams with a clear job such as document work or software development. The cost is two sets of licenses, rules, and trainings, so add a second tool only for teams that can say exactly what it is for. The lines are blurring anyway: Claude connects to Microsoft 365, and Microsoft offers Claude models inside Copilot. For several models under one roof, compare Langdock and its alternatives.

What matters next: adoption

Choosing the tool is the smaller decision. Rollouts fail when people never find a reason to open the tool for their own work. What helps in all four:

  1. Connect the data before training, so nobody has to paste content in.
  2. One use case per department to start, not twenty.
  3. Rules on real cases: what may go in, what may not, and how to check results.
  4. Train teams together, on their real work instead of sample tasks.

At TimeTac, the marketing and growth team, with no engineers on it, put ten automations live after an AI enablement workshop and an internal AI platform: 117 runs in three weeks, 54 of them unattended. At Speedinvest, enablement ran team by team, with the Affinity CRM and the fund's ERP connected.

We train on the tool you have approved: ChatGPT training, Microsoft Copilot training, Claude training, and Gemini training. All formats are part of our AI training for employees. If the decision is still open, talk to us.

What you get

  • Checked against vendor pages

    Every statement about plans and data use comes from OpenAI, Microsoft, Anthropic, or Google directly, as of October 2026. The sources are listed on this page.

  • Paid by none of the vendors

    Specialty Tokens trains teams on ChatGPT, Copilot, Claude, and Gemini. None of these vendors pays us, which is why this page also says when a tool is the wrong choice.

  • By situation, not by benchmark

    Models change every few months. Where your people work, which data the tool should see, and which systems it needs to reach rarely change.

  • Training in the tool you choose

    Once the decision is made, we train teams on their real work, on site in the US, the UK, and Europe.

    AI training for employees
  • Several models in one workspace

    Platforms such as Langdock bring models from several vendors into one interface. There too, what counts is whether teams use them for their own work.

    Langdock alternatives compared
01Leadership

Founders who still build

Nik and Thomas bring the experience of building companies to the work of changing them. Today, they lead Specialty Tokens across engineering, products, education, and community.

Portrait of Nik Redl

Nik Redl

Director

Engineer and founder. Former Chief of Staff at Soona, founder and CEO of Mokker, grown to over one million users before its acquisition.

At Specialty Tokens, Nik works with teams on the problems they want AI to solve, from the first working session to the engineering and workshops that bring it into everyday use.

He studied Industrial Engineering and Mechanical Engineering at the Technische Universität Wien, speaks German and English, and is a keen golfer.

LinkedIn
Portrait of Thomas Schlossmacher

Thomas Schlossmacher

Director

Builder, operator and educator. Founder of Agentbase in San Francisco and former CPO of New Software. Teaches AI online to more than 75,000 subscribers.

Before Specialty Tokens, Thomas founded Agentbase, a San Francisco managed agent platform, and was CPO of New Software, a venture-backed revenue operations platform for ERP systems. Earlier, he worked at Corecam Family Office.

He studied Mandarin Chinese at the University of Ottawa, speaks German and English, and is a former track and field athlete.

LinkedIn

FAQ

Common questions

Copilot vs ChatGPT: which is better for employees?

It depends on where employees work. If a company runs on Microsoft 365, Microsoft Copilot is usually the better choice: Copilot Chat is included with eligible Microsoft 365 subscriptions, and with the paid Microsoft Copilot license it reasons across the emails, meetings, chats, and files a user already has access to. ChatGPT Business or Enterprise fits better when a company wants a versatile assistant that is independent of its office suite, wants teams to build and share custom GPTs, or already has many employees using ChatGPT on personal accounts. According to OpenAI and Microsoft, business data is not used to train their models by default in either product.

Claude vs ChatGPT for business: which should we choose?

Both work well for everyday business use. Claude Team or Enterprise is strong on long documents, careful writing, and code, and the Team plan includes connectors to Microsoft 365, Google Drive, Gmail, Google Calendar, Slack, and GitHub; other systems connect through MCP, the open standard Anthropic created. ChatGPT Business or Enterprise is more widely known, offers custom GPTs and deep research, and eligible Enterprise customers can choose where data is stored at rest, including the US, Europe, and the UK. Neither vendor trains on data from its business plans by default. Many companies decide by department rather than for everyone.

ChatGPT vs Gemini for business: which is better?

If a company runs on Google Workspace, Gemini is usually the better place to start, because it is already part of Gmail, Docs, Sheets, Meet, and Drive and respects existing Workspace permissions. Which features are included depends on the Workspace edition. ChatGPT fits better when a company is not tied to Google, or wants one assistant with custom GPTs for every department. According to Google, Workspace data is not used to train generative AI models without the customer's permission; according to OpenAI, the same applies by default to ChatGPT Business and Enterprise.

Do ChatGPT, Copilot, Claude, or Gemini use company data for training?

Not on business plans, according to the vendors. OpenAI does not use data from ChatGPT Business or Enterprise for training by default. Microsoft does not use Copilot prompts, responses, or Microsoft Graph data to train foundation models. Anthropic does not use inputs or outputs from commercial products such as Claude Team and Enterprise by default. Google does not use Workspace data to train generative AI models without permission. The differences are in the details: Microsoft notes that web search queries are not covered by its data protection addendum or HIPAA business associate agreement, and Google says Gemini Notebook is not covered by its BAA or FedRAMP authorization. Free and personal plans follow different rules. None of this replaces your own privacy and security review.

Can a company use more than one AI assistant?

Yes, and many do. A common pattern is one standard tool for everyone, such as Copilot Chat in Microsoft 365 or Gemini in Google Workspace, plus ChatGPT or Claude for specific teams that work on documents, writing, or software. That means two sets of licenses, two sets of rules, and two trainings, so it pays off only when a team can say exactly what it needs the second tool for. Another option is a platform that offers models from several vendors in one interface.

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