Enterprise AI assistants · November 2026 Edition
Microsoft 365 Copilot vs ChatGPT
Ten of fourteen models named Microsoft 365 Copilot first on the direct prompt; three named ChatGPT. Both were named by all fourteen models and Microsoft 365 Copilot carries 55 labels and ChatGPT 61, so the shares are not directly comparable.
Named in two categories this edition.
Named in six categories this edition.
First-choice share33%20%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate13%18%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#2A position in a field of 9; printed, not drawn.
Labels5561A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Microsoft 365 Copilot reading right to left. Rank and label count are printed, not drawn.Microsoft 365 Copilot vs Glean · Microsoft 365 Copilot vs Amazon Q · Microsoft 365 Copilot vs Google Gemini for Workspace
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the Enterprise AI assistants page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Microsoft 365 CopilotFirst choices, of fourteen modelsChatGPT
Direct103
Paraphrase521 against ChatGPT
Comparative103
Budget-constrained151 against Microsoft 365 Copilot · 2 against ChatGPT
Scale-constrained00
Negative006 against Microsoft 365 Copilot · 8 against ChatGPT
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Across every category in the November 2026 Edition, Microsoft 365 Copilot and ChatGPT were named in the same answer 138 times, of the 181 answers naming Microsoft 365 Copilot and the 210 naming ChatGPT. In those answers ChatGPT took the first choice thirty-five times and Microsoft 365 Copilot fifty-two.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Microsoft 365 Copilot and ChatGPT stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | | ||
| GPT-5.4 mini | | | | | ||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | | | | |
| Grok 4.20 | | | | | | |
| Mistral Small | | | | | | |
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | | ||||
| Qwen 3.7 Flash | | | | | ||
| Kimi K2 | | | | | | |
| GLM 4.7 FlashX | | | | | | |
| MiniMax M2.5 | | | | |||
| GPT-6 Luna | | | | | | |
| Muse Glimmer 30B | | | | |
Microsoft 365 Copilot ChatGPT first choice named as an alternative argued againstblank: not namedEach cell is one answer, Microsoft 365 Copilot on the left and ChatGPT on the right.The direct prompt
The plain question, one answer per model, grouped by where Microsoft 365 Copilot and ChatGPT stood in it.
Both were the first choice
2 of 14 modelsThe answer named them together, and the judge labeled each a first choice.GLM 4.7 FlashXChatGPT, Microsoft 365 Copilot alternatives: Gong, Google Gemini for Workspace, Intercom Fin, Salesforce Agentforce
Muse Glimmer 30BChatGPT, Microsoft 365 Copilot alternatives: Coworker
Microsoft 365 Copilot first, ChatGPT an alternative
8 of 14 modelsChatGPT was named in the answer but not as the choice, or not at all.Claude Haiku 4.5Microsoft 365 Copilot alternatives: Apollo.io, Coworker, Gong
GPT-5.4 miniMicrosoft 365 Copilot alternatives: Agentforce, ChatGPT, Google Gemini, OpenAI, Salesforce Agentforce
Gemini 3.5 FlashGoogle Gemini for Workspace, Microsoft 365 Copilot alternatives: ChatGPT, Claude for Work, Decagon, Glean, HubSpot Breeze AI, Intercom Fin, Salesforce Agentforce
Perplexity SonarMicrosoft 365 Copilot alternatives: Claude for Enterprise, Glean, Google Gemini, HubSpot Breeze AI, Salesforce Agentforce
Grok 4.20Microsoft 365 Copilot alternatives: Anthropic's Claude for Enterprise, ChatGPT, Google Gemini for Workspace
DeepSeek V4 FlashMicrosoft 365 Copilot alternatives: ChatGPT, Claude for Enterprise, Coworker AI, Glean, Google Gemini for Workspace
Kimi K2Claude for Enterprise, Microsoft 365 Copilot alternatives: ChatGPT, Glean, Google Gemini for Workspace
MiniMax M2.5Microsoft 365 Copilot alternatives: ChatGPT, Kore.ai
ChatGPT first, Microsoft 365 Copilot an alternative
1 of 14 modelsMicrosoft 365 Copilot was named in the answer but not as the choice, or not at all.GPT-6 LunaChatGPT alternatives: Claude Team or Enterprise, Gemini in Workspace, Microsoft 365 Copilot
Neither was the first choice, one was named
2 of 14 modelsThe answer put something else first and named one of the two as an alternative.Mistral SmallCoworker AI alternatives: Apollo AI, ChatGPT, Glean, Microsoft 365 Copilot, ZoomInfo Copilot
Qwen 3.7 FlashGlean alternatives: Apollo, ChatGPT, Claude for Enterprise, Gemini for Workspace, Intercom Fin, Microsoft 365 Copilot, My AskAI, ZoomInfo Copilot
Neither was named
1 of 14 modelsThe answer made no first choice from these two in this category.Llama 4 Maverickno first choice
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
ChatGPT leads by twenty-five points.
ChatGPT45%#1 of 7Microsoft 365 Copilot20%#2 of 7Mid-marketThe figures above
The order flips: Microsoft 365 Copilot leads at mid-market.
Microsoft 365 Copilot33%#1 of 9ChatGPT20%#2 of 9Enterprise
Microsoft 365 Copilot leads by forty-five points.
Microsoft 365 Copilot53%#1 of 9ChatGPT8%#3 of 9What the models said about Microsoft 365 Copilot
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Avoid Microsoft 365 Copilot in its default configuration (too broad access)” GLM 4.7 FlashX · negative prompt · hard negative
“Enterprise platform integrations such as Microsoft 365 Copilot, Google Gemini for Workspace, or Salesforce Einstein... their deep integration means the AI inherits existing internal user permissions” Gemini 3.5 Flash · negative prompt · soft negative
“Best for: Deep integration into Outlook, Teams, Word, Excel, and SharePoint... Why it wins for Mid-Market: Inherits your existing Microsoft Entra ID permissions out of the box” Gemini 3.5 Flash · direct prompt · first choice
“For a typical mid-market B2B company already on Microsoft 365, Microsoft 365 Copilot is the most practical, cost-effective starting point.” DeepSeek V4 Flash · direct prompt · first choice
“I recommend Microsoft Copilot (especially if you're already on Microsoft 365) or Glean as the top company-wide AI chatbot for employees.” Grok 4.20 · paraphrase prompt · first choice
What the models said about ChatGPT
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“No suite lock-in and want the lowest predictable enterprise seat: ChatGPT Business or Claude Team at ~ $20/user/mo annual” Muse Glimmer 30B · budget prompt · first choice
“For most budget-conscious companies, ChatGPT Business is the safest, most capable choice at $20/user/month” DeepSeek V4 Flash · budget prompt · first choice
“Choose ChatGPT Enterprise if you want the most flexible general-purpose enterprise assistant.” GPT-5.4 mini · comparative prompt · first choice
Also compared
Microsoft 365 Copilot vs GleanMicrosoft 365 Copilot vs Amazon QMicrosoft 365 Copilot vs Google Gemini for WorkspaceMicrosoft 365 Copilot vs Claude for WorkChatGPT vs GleanChatGPT vs Amazon QChatGPT vs Google Gemini for WorkspaceChatGPT vs Claude for WorkAll fifteen head-to-head pages and the full Enterprise AI standing
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.