Copilot vs ChatGPT vs Claude vs Gemini: Which AI Assistant Should Your Company Roll Out?

TL;DR

• Copilot vs ChatGPT comes down to your office suite. Microsoft Copilot is the stronger pick when work lives in Microsoft 365. ChatGPT Enterprise is the stronger general assistant when it does not. Claude suits long documents and analysis. Gemini suits Google Workspace companies.
• Business plan prices are close: ChatGPT Business and Claude Team start at $20 per seat per month billed annually, Microsoft Copilot is $30 on top of a Microsoft 365 licence, and Gemini comes bundled into Workspace editions or sold as Gemini Enterprise.
• All four vendors state that business data is not used to train their models by default. Security is no longer the tiebreaker. Context is.
• None of the four knows your company across tools. Sentra is the shared company memory any of them can use over MCP or REST, which makes the choice of assistant less permanent.

Copilot vs ChatGPT: the short answer

Copilot vs ChatGPT is a choice between an assistant built into Microsoft 365 and an assistant that sits outside any office suite. Microsoft Copilot answers from your Microsoft Graph, meaning mail, files, chats and meetings, and only shows what each user is already allowed to see. ChatGPT Enterprise reaches your data through connectors you switch on, and its strength is the breadth of the assistant itself.

Microsoft has renamed Microsoft 365 Copilot to Microsoft Copilot, and some licences still carry the old name (learn.microsoft.com). This page uses Microsoft Copilot for the paid work product.

The same logic extends to the other two. Gemini is the native choice inside Google Workspace. Claude, like ChatGPT, is suite-independent and is often picked for long documents, analysis and coding.

ChatGPT vs Copilot vs Claude vs Gemini at a glance

Prices are per user per month in USD, from each vendor's own page as of October 2026.

Sources: OpenAI, Microsoft Copilot, Copilot Business, Anthropic, Google Workspace, Gemini Enterprise, Axios on Gemini launch pricing.

ChatGPT for business: Business and Enterprise plans

ChatGPT Business, formerly ChatGPT Team, is OpenAI's self-serve plan. A Standard seat costs $20 per user per month billed annually or $25 monthly. A Premium seat, with five times the usage, costs $100 annually or $125 monthly. A workspace needs at least two seats, and API usage is billed separately (help.openai.com).

Enterprise ChatGPT is sales-led and its price is not published (chatgpt.com). It adds SCIM provisioning, role-based access controls, user analytics and Enterprise Key Management, which lets customers control their own encryption keys. Eligible Enterprise customers can store content at rest in the US, Europe, the UK, Japan, Canada, South Korea, Singapore, Australia, India or the UAE (openai.com).

On data use, OpenAI states that it does not use data from ChatGPT Enterprise, ChatGPT Business or the API for training by default. Data is encrypted with AES-256 at rest and TLS 1.2 or higher in transit.

Microsoft Copilot for business

Microsoft Copilot costs $30 per user per month paid yearly, or $31.50 paid monthly on an annual commitment. It is an add-on: each user also needs a qualifying Microsoft 365 licence (microsoft.com). Copilot Chat, the lighter web-grounded version, comes at no extra cost with eligible Microsoft 365 subscriptions.

For smaller companies, Copilot Business is $21 per user per month paid yearly, or $25.20 monthly. A promotion cuts the yearly price to $18 for the first year on commitments made between 1 July and 31 December 2026 (microsoft.com).

Copilot's main advantage is the permission model it inherits. Microsoft documents that Copilot only surfaces organisational data to which a user has at least view permission, and that prompts, responses and data accessed through Microsoft Graph are not used to train foundation models (learn.microsoft.com). EU traffic stays within the EU Data Boundary. Copilot can also reach outside Microsoft 365 through Graph connectors and agents, which admins approve.

The weakness is the mirror image. If a decision was made in Slack, recorded in Jira and priced in Salesforce, Copilot sees only what has been connected into Graph.

Claude for business: Team and Enterprise

Claude Team costs $20 per seat per month billed annually or $25 monthly for a Standard seat, and $100 or $125 for a Premium seat with five times the usage. Team covers 2 to 150 seats and includes SSO, enterprise search, Microsoft 365 integration and admin controls for connectors (claude.com).

Claude Enterprise is priced differently from its rivals: $20 per seat per month billed annually, plus usage billed at API rates, with a 20-seat minimum. It adds SCIM, audit logs, a Compliance API, custom data retention, IP allowlisting and role-based permissions. Anthropic says inputs and outputs from its commercial products are not used for training by default (privacy.claude.com).

Because Enterprise usage is metered, heavy users cost more than light ones. Model that before you sign. Our Claude Enterprise guide works through the arithmetic.

Gemini for Workspace and Gemini Enterprise

Google sells Gemini two ways. Inside Google Workspace, Business Standard and Enterprise editions include Gemini in Gmail, Docs, Sheets, Slides, Drive, Meet and Chat, while Business Starter includes Gemini in Gmail and limited use elsewhere (workspace.google.com). Workspace prices vary by country, so check the page in your region.

Gemini Enterprise is the separate Google Cloud product for agents and cross-app work. Google says it connects to Microsoft 365, Slack, Confluence, Jira, Salesforce and more than 100 integrations, runs under each person's existing permissions, and never uses customer prompts, outputs or tuning data to train Google models (cloud.google.com). Business edition covers 1 to 300 seats. Standard and Plus add VPC Service Controls, customer-managed encryption keys and data residency options. At launch in October 2025, Business was $21 and Enterprise $30 per person per month (axios.com).

ChatGPT Enterprise vs Copilot: how the decision usually goes

The ChatGPT Enterprise vs Copilot question is the one most CIOs face, because many companies already pay for Microsoft 365.

• Choose Copilot when most work happens in Outlook, Teams, SharePoint and Office, and you want AI that inherits Microsoft permissions and compliance tooling without a new vendor review.
• Choose ChatGPT Enterprise when work is spread across Google, Slack, Notion and other tools, when people want the strongest standalone assistant, or when you want data residency in one of OpenAI's ten regions.
• Run both when different groups have different needs. Many companies give Copilot to everyone inside Microsoft 365 and ChatGPT or Claude to the teams that do heavy analysis.

Running two assistants is common. The cost of doing so is context: each assistant learns your company separately and they can disagree.

Microsoft Copilot alternatives

If Copilot does not fit, the three practical Microsoft Copilot alternatives are the other assistants on this page. ChatGPT Enterprise and Claude Enterprise are suite-independent. Gemini is the alternative for a company moving to, or already on, Google Workspace. For search across many apps, Glean is the usual addition; our Glean pricing guide covers its cost.

What all four assistants are missing

Each assistant knows the person using it and whatever that person's connectors expose. None of them holds a shared, current record of how the company runs across every system: what was decided, by whom, when it changed, and which commitments are slipping.

That gap shows up in three ways.

1. Context stops at the connector. An assistant can search a CRM it is connected to. It does not join the CRM's numbers with the email thread that explains them.

2. Memory belongs to the vendor. What an assistant learns about your company stays inside that product. Switch vendors and that memory stays behind.

3. Stale facts look current. A retrieved document from March reads the same as one from October. Without knowing when a fact stopped being true, assistants repeat outdated plans with confidence.

Our ChatGPT company knowledge page shows how this plays out in one assistant.

Where Sentra fits: the shared layer under any assistant

Sentra is not an assistant and does not compete with these four. It is the company intelligence and memory any of them can use.

Sentra reads email, chat, meetings, documents, ERP, CRM, HRIS and BI across more than 200 integrations. It works out what is true now, why, and who is working on it, and it knows when each fact became true and when it stopped being true. It serves that memory over MCP and REST, so ChatGPT, Claude, Copilot, Gemini and internal agents all query the same company context. Every answer respects the source's existing permissions, checked at query time, and a failed check counts as no access.

Sentra also acts first. It finds what is going wrong, works out who should act, and tells them. A named person approves before Sentra acts or sends anything.

This changes the assistant decision. If the company's context lives in Sentra, you can roll out Copilot to one department and Claude to another, or switch vendors at renewal, without rebuilding what the company knows. Agents with that memory also run cheaper: on Terminal-Bench 2.1 they scored 88.31% against an 83.37% baseline with 72.6% lower model cost and 41.2% fewer tokens. Sentra holds SOC 2 Type II and ISO 27001 and deploys in the cloud, an isolated VPC or air-gapped on-prem. Setup for Claude is in our guide to connecting Claude to organizational memory over MCP.

To see your assistants answer from one company memory, book a demo.

How to choose an assistant for your company

1. List where work actually happens. If most documents and meetings are in Microsoft 365, start with Copilot. If they are in Google Workspace, start with Gemini.

2. Identify your heavy users. Analysts, engineers and lawyers often get more from ChatGPT Enterprise or Claude Enterprise. Price Claude's usage line for them specifically.

3. Confirm the data terms you need. All four exclude business data from training by default. Check data residency regions, retention controls, and customer-managed keys if your regulators require them.

4. Pilot two assistants on the same tasks. Use real work for four weeks and measure answer accuracy, not satisfaction.

5. Decide where company context will live. Put it in a layer every assistant can reach, so the assistant becomes a replaceable choice.

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