Microsoft Copilot vs. ChatGPT: What’s the difference?

Last reviewed: September 2026. Product names, prices and availability in this article were checked against Microsoft and OpenAI documentation on the review date and will change; the dated tables link to the vendors’ live pages.

Quick answer: There are really three options, not two. Microsoft Copilot Chat is included at no extra cost with eligible Microsoft 365 plans and is grounded in the web, not your work data. The paid Microsoft Copilot license (still sold as “Microsoft 365 Copilot”) adds grounding in the Microsoft 365 content each user is already permitted to see, inside Word, Excel, PowerPoint, Outlook and Teams. ChatGPT Business or Enterprise is a general-purpose AI workspace that connects to Microsoft 365 and many other systems through OpenAI’s apps.

The question that usually decides it: where does the work context that AI needs actually live, and how clean are the permissions on it? If most of it is in Microsoft 365 and permissions are in reasonable shape, the paid Copilot license has a structural advantage. If work spans several platforms, or teams need open-ended research, long-form drafting and coding in one place, ChatGPT is often the better fit. Many organizations end up with both, deliberately assigned by role. Some should deploy neither yet, because their permissions and data governance are not ready.

If you are an individual user rather than an organization: the free Copilot app and free ChatGPT are both capable general assistants; the differences in this article (work data, admin controls, compliance) mostly do not apply to personal use.

What “Microsoft Copilot” means in 2026

Microsoft uses the Copilot name for several products, and the names are changing. Microsoft Learn now states: “Microsoft 365 Copilot is now named Microsoft Copilot, and Microsoft 365 Copilot Chat is now named Microsoft Copilot Chat. Some experiences, licenses, and capabilities might continue to reference Microsoft 365 Copilot and Microsoft 365 Copilot Chat during the transition period.” (Microsoft Learn, enterprise data protection) Microsoft’s pricing pages still say “Microsoft 365 Copilot,” so you will see both names for a while.

For a business comparison, keep these separate:

• Microsoft Copilot Chat (free tier). Web-grounded chat with enterprise data protection, “automatically included with an eligible Microsoft 365 subscription at no extra cost.” It does not reason over your Microsoft Graph work data. Agents that use work data follow a pay-as-you-go pricing model and require an Azure subscription. (Microsoft Learn, license options)
• Microsoft Copilot, paid license (sold as Microsoft 365 Copilot). Microsoft’s documentation calls this the “Microsoft 365 Copilot (Premium)” tier: Copilot grounded in “web data and work data (Microsoft Graph and Work IQ),” with “priority access” to Copilot in Word, Excel, PowerPoint and OneNote, plus agents. A middle “Microsoft 365 Copilot (Basic)” tier gives unlicensed users “standard access” to Copilot in those apps, subject to service capacity, still without Graph work data. (Microsoft Learn, Microsoft Copilot overview)
• GitHub Copilot. A separate developer product for coding in IDEs and repositories (Business $19 and Enterprise $39 per seat per month as of September 2026, per GitHub’s plans page).
• Microsoft Security Copilot. A separate product for security operations, priced in Security Compute Units and now included with an SCU allocation for Microsoft 365 E5 and E7 customers. It is not available in GCC, GCC High or DoD clouds.
• The Copilot app. In August 2026 Microsoft merged the consumer Copilot app and the work app into a single Copilot app that accepts personal and work accounts; “work and personal accounts remain separate,” and enterprise controls apply only to the work sign-in.

The rest of this article compares the paid Microsoft Copilot license (with the free Copilot Chat tier noted where it matters) against ChatGPT Business and Enterprise.

What “ChatGPT for business” means in 2026

ChatGPT is OpenAI’s general-purpose AI workspace for writing, research, analysis, coding, file work and multi-step tasks. For organizations, the relevant plans are:

• ChatGPT Business (formerly ChatGPT Team; renamed August 29, 2025). Self-serve, sold in Standard and Premium seats, with a two-seat minimum and a 200-seat cap. (OpenAI Help Center)
• ChatGPT Enterprise. Custom pricing through OpenAI sales, with the full set of administrative and compliance controls. (OpenAI business pricing)

OpenAI’s vocabulary has changed several times, which trips up older comparison articles. As of September 2026, apps (formerly called “connectors”) connect ChatGPT to services such as SharePoint, Outlook, Teams, Google Drive, and Slack. Plugins now refer to packaged workflows that can combine apps, skills, and app templates, and they are discovered through the Plugins Directory. This is separate from the 2023 ChatGPT plugin beta. Company Knowledge allows ChatGPT to use connected organizational sources to provide company-specific answers. ChatGPT Work is OpenAI’s agent for longer, multi-step tasks, while Codex is OpenAI’s coding agent and is also used for broader work workflows. (See OpenAI’s articles on apps in ChatGPT and ChatGPT Work and Codex.)

Side by side: Copilot Chat vs. paid Copilot vs. ChatGPT

All cells reflect vendor documentation as of September 2026. Plan and cloud dependencies are stated in the cell because they change the answer.

Sources: Microsoft Learn, Data, Privacy, and Security for Microsoft Copilot; Microsoft Purview capabilities for AI; OpenAI business pricing; OpenAI enterprise privacy; OpenAI data residency; OpenAI FedRAMP.

The real difference: where work context lives

Both products can draft, summarize, analyze and brainstorm, and both now expose current frontier models. The difference that matters for an organization is what each one can see when it answers, and under whose permissions.

With a paid Copilot license, Microsoft states that Copilot uses Microsoft Graph to access relevant content and context, including user documents, emails, calendars, chats, meetings, and contacts. It only surfaces organizational data that individual users have permission to view. (Microsoft Learn, Data, Privacy, and Security) That grounding happens inside the Microsoft 365 service boundary; nothing has to be copied to a third-party system.

ChatGPT reaches the same content through OpenAI’s Microsoft 365 apps. The SharePoint app lets ChatGPT “search and reference SharePoint and supported OneDrive for work or school content that your Microsoft account can already access,” and OpenAI states that “SharePoint, OneDrive, Microsoft 365 group membership, and workspace access settings continue to apply.” Permission changes “may take time to appear.” Administrator-managed sync is “available only in eligible Enterprise and Edu workspaces.” Similar apps exist for Outlook mail and calendar, Teams and OneNote.

A concrete illustration. Ask “Draft a status update for the Henderson project” in each tool:

• Paid Copilot, with no setup beyond a license, can pull from the user’s recent Teams meetings, the project’s SharePoint site and the email thread, because those are already in the user’s Graph.
• ChatGPT Business or Enterprise can do the same only if the SharePoint, Outlook and Teams apps are enabled by an admin, the user has authorized them through Microsoft Entra, and the relevant scopes have been granted. Once that is done, ChatGPT can also fold in sources Copilot cannot reach natively, such as a Google Drive folder or a Slack channel.

Data, permissions and governance

Neither vendor trains foundation models on business prompts, responses or connected data by default. Microsoft: “Prompts, responses, and data accessed through Microsoft Graph aren’t used to train foundation LLMs.” OpenAI: “By default, we do not use your business data for training our models.” (OpenAI enterprise privacy) The key distinction from consumer ChatGPT is that conversations are used for training unless the user opts out through Data Controls; unsanctioned personal-account use is a governance problem on its own.

Two qualifications on the Microsoft side that governance teams should know: web queries Copilot sends to Bing “operate separately from Microsoft 365 and have different data-handling practices,” and “models provided by Anthropic as a subprocessor are currently excluded from the EU Data Boundary.”

The differences are in what IT can enforce.

What Microsoft Copilot inherits from Microsoft 365 (Microsoft Purview capabilities for AI)

• Sensitivity labels: Copilot honors label permissions; users need the EXTRACT usage right as well as VIEW for labeled content to be returned.
• Data loss prevention for Copilot: Block sensitive prompts, exclude labeled files and emails, restrict web search when prompts contain sensitive information types.
• Audit: Prompts and responses are captured in the unified audit log; eDiscovery and retention policies apply to Copilot interactions.
• Insider Risk Management: A “Risky AI usage” policy template.
• Data Security Posture Management (DSPM): Visibility into AI interactions and oversharing risk.
• SharePoint Advanced Management, included with the paid Copilot license: Content assessment reports and Restricted Content Discovery to keep specific sites out of Copilot results. Note that Restricted SharePoint Search is retiring; new enablement is blocked from July 31, 2026.

What ChatGPT Business includes

• SAML or OIDC single sign-on, MFA, domain verification, workspace administration, apps on by default (admins can restrict), no training by default.
• Not included in a standalone Business plan: SCIM provisioning, synchronized groups, role-based access controls, the Compliance API. Data residency for Business “is rolling out gradually and is not yet available to all customers.”

What ChatGPT Enterprise adds

• SCIM, role-based access controls and groups, custom data retention, Enterprise Key Management, IP allowlisting, apps off by default with admin enablement and action-level controls.
• Compliance API and Compliance Logs Platform for conversation and audit logs, with integrations that include Microsoft Purview and other eDiscovery and DLP vendors.
• Data residency in ten regions (Australia, Canada, Europe, India, Japan, Singapore, South Korea, UAE, UK, US) and inference residency in Europe, US and UAE for new Enterprise and Edu customers.

Certifications and agreements. OpenAI reports SOC 2 Type 2 and CSA STAR coverage for its ChatGPT business products, while ISO 27001, ISO 27017, ISO 27018, and ISO 27701 certifications cover the API, ChatGPT Enterprise, and ChatGPT Edu. OpenAI also offers a HIPAA Business Associate Agreement for ChatGPT for Healthcare and API healthcare customers, rather than for generic Business or Enterprise workspaces. (OpenAI security and privacy) Microsoft Copilot sits under the Microsoft 365 compliance commitments the tenant already has; see Red River’s separate note on Copilot and HIPAA.

Fix oversharing before you turn on either one

AI makes content easier to find, so any file that is technically visible to too many people becomes a problem faster. Microsoft’s own readiness guidance for Copilot is built around this concern. A practical sequence:

1. Run a content assessment (SharePoint Advanced Management) and review DSPM findings to locate sites and libraries with broad access.
2. Remove “Everyone” and “Everyone except external users” grants and stale sharing links; review external sharing settings.
3. Apply sensitivity labels to the repositories that matter most, and set DLP policies for Copilot on those labels.
4. Use Restricted Content Discovery to keep high-risk sites out of Copilot results until they are remediated.
5. Only then assign paid Copilot licenses, starting with a pilot group.

If you plan to use ChatGPT’s Microsoft 365 apps, the same cleanup applies, because ChatGPT retrieves whatever the signed-in user can already access; the difference is that the retrieved content then flows to OpenAI’s service under OpenAI’s terms rather than staying inside the Microsoft 365 boundary.

Public sector and regulated environments

This section exists because most comparison articles skip it, and because it changes the answer for federal, state and local, defense-contractor and regulated commercial buyers.

Microsoft Copilot in government clouds. The paid Copilot license is available in GCC, GCC High and DoD, but not with identical features. Per Microsoft’s service description (updated Aug 5, 2026): the Researcher agent is not currently available in DoD; “web grounding isn’t enabled by default for government clouds”; partner-built Copilot connectors are not enabled by default in government clouds; Agent Builder is not available in DoD. Anthropic models in Copilot are opt-in for GCC (since July 22, 2026) and not available in GCC High or DoD; they are also off by default for EU/EFTA and UK tenants. Security Copilot is not available in any government cloud.

ChatGPT for government. OpenAI announced “OpenAI available at FedRAMP Moderate” on April 27, 2026, covering ChatGPT Enterprise and the API Platform through FedRAMP 20x. As of this review, FedRAMP workspaces do not yet include ChatGPT Work mode or Skills and Plugins (OpenAI’s article says these are expected around mid-September 2026), desktop use is limited to the Codex CLI, and the Compliance API log endpoint is not yet available. ChatGPT FedRAMP is a SaaS product OpenAI operates; ChatGPT Gov is a separate, customer-deployed containerized option.

Data residency and sovereignty. Microsoft Copilot follows the EU Data Boundary for EU tenants, with the Anthropic exclusion noted above. OpenAI offers data residency in ten regions for Enterprise and Edu; for Business, it is still rolling out, and OpenAI notes that abuse-monitoring logs are stored in the US regardless of residency selection.

A third path. Organizations that need OpenAI models inside a Microsoft compliance boundary (including GCC High) often evaluate Azure OpenAI in Microsoft Foundry rather than ChatGPT itself. That is an application platform decision rather than a productivity-tool decision and is outside this article’s scope; see Red River’s guides to GCC High and designing an Azure GCC High environment.

Use cases by team

For more Microsoft-side examples, see Red River’s Microsoft Copilot use cases and Copilot prompt engineering guides.

Pricing and total cost

Prices change and promotions expire; the table is an anchor, not a quote. Check the linked vendor pages before budgeting.

Compare total cost, not seat price. Red River’s recommendation is to model at least these components:

1. Base license prerequisites. The Copilot add-on requires a qualifying plan, and Microsoft 365 base-suite prices rose on July 1, 2026 (E5 from $57 to $60, for example; Copilot SKUs were not part of that change). See Red River’s summary of the 2026 Microsoft 365 price changes and E3 vs. E5 and E7 guides.
2. Segmentation. Not every employee needs the paid tier; Copilot Chat or a ChatGPT Standard seat covers a large share of general use.
3. Metered components. Microsoft agents consume Copilot Credits or per-message charges (no charge for paid-Copilot users in most employee-facing scenarios); OpenAI Business seats have usage windows, after which pooled credits cover reasoning models, Codex and agentic features.
4. Readiness work. Permission remediation, labeling, DLP configuration, connector or app setup, identity integration.
5. Change management. Training, prompt guidance, champions, adoption measurement, support.

Readiness and deployment considerations

Whichever direction you choose, the same prerequisites decide whether the rollout succeeds. Red River’s view is that readiness is a data and identity question at least as much as a licensing question.

• Identity. Both tools authenticate through your identity provider; Copilot through Microsoft Entra ID, ChatGPT through SAML/OIDC (SCIM only on Enterprise). Conditional access, MFA and lifecycle (joiner/mover/leaver) should be in place before licenses are assigned. See Red River on identity management and the Zero Trust roadmap; Microsoft’s own Copilot security guidance is framed around Zero Trust.
• Licensing. Confirm which base plans qualify, which users get the paid tier, and whether an E7 bundle is cheaper than E5 plus add-ons at your seat count.
• Permissions and information architecture. Run the oversharing sequence above. Consolidate or archive stale sites; Copilot answers are only as good as the content it can find.
• Data governance. Decide which data classes may be used with which tool. Labels and DLP on the Microsoft side; app restrictions, retention and (on Enterprise) the Compliance API on the OpenAI side.
• Integration requirements. List the systems each workflow needs and verify the connector or app exists, what actions it supports and how it is audited.
• Policy and acceptable use. Cover personal-account use, data that may never be pasted or connected, and human review of AI output.
• Training and change management. Role-based training, a prompt library, champions, and a way to measure weekly active use, not just licenses assigned.

Decision matrix

Score each criterion for your organization; the pattern of answers usually points to one of four profiles.

Profiles.

• Microsoft Copilot first: Most answers in column one; permissions are clean or being cleaned; Copilot Chat covers the rest of the workforce.
• ChatGPT first: Most answers in column two; work is cross-platform; Enterprise if you need SCIM, Compliance API or residency.
• Both, by role: Column one for meeting- and document-heavy roles, column two for research, engineering, marketing and strategy teams. See the operating model below.
• Not yet: Any answer in column three. Spend the first quarter on permissions, labeling, identity and use-case baselining. Copilot Chat (free) and a small ChatGPT Business pilot are reasonable low-risk ways to learn while that work proceeds.

How to run a fair pilot

Red River’s recommendation is to pilot against real workflows rather than benchmark demos, because benchmarks measure the model and your decision depends on context, permissions and adoption.

1. Pick 5 to 10 workflows that are repeatable, measurable and representative: for example weekly status reports, meeting follow-up, RFP response sections, ticket summarization, a research brief, a first-draft policy.
2. Choose two matched cohorts of 15 to 30 users each across the same roles, one on paid Copilot and one on ChatGPT (Business or Enterprise, matching the controls you would actually buy). Include at least one group that gets only Copilot Chat, to learn what the free tier covers.
3. Capture a baseline for each workflow before the pilot: time taken, rework rate, quality rating from a reviewer who does not know which tool was used.
4. Set up governance as you would in production: Labels, DLP, app or connector restrictions, audit. Governance events (blocked prompts, oversharing findings, policy exceptions) are a pilot metric, not a nuisance.
5. Run for 30 to 60 days with a prompt library and a weekly office hour; adoption measured as weekly active users, not logins.
6. Score each workflow on time saved, output quality, rework, governance events and user preference. Note where a result depended on a connector or a permission rather than the tool.
7. Decide with exit criteria written in advance: What score justifies broad Copilot licensing, what justifies ChatGPT seats, what justifies both, and what sends you back to readiness work.

Running both without AI sprawl

Many organizations end up with both tools. The risk is not the overlap; it is AI adopted team by team without an owner. If both are approved, define:

• Assignment by role: Who gets paid Copilot, who gets Copilot Chat only, who gets ChatGPT seats and at which tier.
• Data-class rules: Which classifications may be used with which tool, enforced by labels and DLP on the Microsoft side and app restrictions on the OpenAI side.
• Identity for both: SSO everywhere; SCIM where available (Copilot via Entra, ChatGPT Enterprise); a leaver process that removes both.
• Audit consolidation: Purview audit for Copilot; the Compliance API (Enterprise) feeding your eDiscovery or SIEM tooling for ChatGPT. OpenAI lists Microsoft Purview among its compliance integrations.
• Connector and app policy: An approval list for which systems each tool may connect to, and who may publish agents.
• License criteria and review: A quarterly review of usage against the criteria, so seats move to the people who use them.

Agents, briefly

Both vendors have moved from assistants that answer to agents that act, which raises the stakes on identity, permissions and audit because the system can take actions rather than only generate text.

As of September 2026, Microsoft users can build agents with Agent Builder or Copilot Studio, while Copilot Cowork handles longer-running tasks and Agent 365, included with E7, provides the management layer. Usage is measured through Copilot Credits or per-message pricing, with paid Copilot users generally incurring no additional charges for most employee-facing scenarios. On the OpenAI side, ChatGPT Work supports multi-step tasks and deliverables for Business and Enterprise users, with admin controls for cloud and local execution. Workspace agents can be built and shared within Business and Enterprise workspaces, while Codex is designed for coding tasks.

The governance questions are the same on both sides: which identity does the agent act under, what can it access, who can publish it, and how is its activity audited. Red River’s enterprise agentic AI guide covers readiness, IAM and change management for that shift.

Red River’s recommendation and how we help

Start with where your work context lives and how clean the permissions on it are. If the answer is “Microsoft 365, and reasonably clean,” the paid Copilot license for context-heavy roles plus Copilot Chat for everyone else is the most defensible starting point, and ChatGPT can be added by role where cross-platform work justifies it. If the answer is “everywhere, and we are not sure,” spend the first quarter on identity, permissions and labeling, use the free tiers to learn, and pilot before buying at scale.

The implementation work begins after the comparison. Red River helps commercial and public-sector organizations assess AI readiness and use cases, remediate permissions and governance, plan Microsoft Copilot rollouts, and build governance for generative and agentic AI, alongside our Microsoft 365 managed services and Microsoft FastTrack work. Explore Red River’s AI consulting and assessment services or contact the team to scope a readiness assessment or a pilot.

Written by Corrin Jones, Director of Digital Demand Generation at Red River. Product facts checked against Microsoft and OpenAI documentation in September 2026.

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