Enterprise AI assistants · November 2026 Edition
Microsoft 365 Copilot vs Amazon Q
Ten of fourteen models named Microsoft 365 Copilot first on the direct prompt; zero named Amazon Q. Microsoft 365 Copilot was named by fourteen of the fourteen models and Amazon Q by ten and Microsoft 365 Copilot carries 55 labels and Amazon Q 16, so the shares are not directly comparable.
Named in two categories this edition.
Named in one category this edition.
First-choice share33%6%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate13%6%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#4A position in a field of 9; printed, not drawn.
Labels5516A 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.ChatGPT was named alongside these two in eleven of the fourteen direct answers. Microsoft 365 Copilot vs ChatGPT · Microsoft 365 Copilot vs Glean · 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 modelsAmazon Q
Direct100
Paraphrase50
Comparative100
Budget-constrained131 against Microsoft 365 Copilot
Scale-constrained00
Negative006 against Microsoft 365 Copilot · 1 against Amazon Q
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 Amazon Q were named in the same answer thirty-five times, of the 181 answers naming Microsoft 365 Copilot and the 41 naming Amazon Q. In those answers Amazon Q took the first choice four times and Microsoft 365 Copilot twenty.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Microsoft 365 Copilot and Amazon Q 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 Amazon Q first choice named as an alternative argued againstblank: not namedEach cell is one answer, Microsoft 365 Copilot on the left and Amazon Q on the right.The direct prompt
The plain question, one answer per model, grouped by where Microsoft 365 Copilot and Amazon Q stood in it.
Microsoft 365 Copilot first, Amazon Q not the choice
10 of 14 modelsAmazon Q 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
GLM 4.7 FlashXChatGPT, Microsoft 365 Copilot alternatives: Gong, Google Gemini for Workspace, Intercom Fin, Salesforce Agentforce
MiniMax M2.5Microsoft 365 Copilot alternatives: ChatGPT, Kore.ai
Muse Glimmer 30BChatGPT, Microsoft 365 Copilot alternatives: Coworker
Neither was the first choice, one was named
3 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
GPT-6 LunaChatGPT alternatives: Claude Team or Enterprise, Gemini in Workspace, Microsoft 365 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
Microsoft 365 Copilot leads by eighteen points.
Microsoft 365 Copilot20%#2 of 7Amazon Q2%#– of 7Mid-marketThe figures above
Microsoft 365 Copilot leads by twenty-seven points.
Microsoft 365 Copilot33%#1 of 9Amazon Q6%#4 of 9Enterprise
Microsoft 365 Copilot leads by forty-seven points.
Microsoft 365 Copilot53%#1 of 9Amazon Q6%#4 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 Amazon Q
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Glean, Microsoft Copilot, Amazon Q, and other retrieval-connected assistants when source permissions are messy.” Perplexity Sonar · negative prompt · soft negative
“1. Amazon Q Business — best if you want the lowest-cost enterprise assistant and your use case is knowledge retrieval.” GPT-5.4 mini · budget prompt · first choice
“Start with Amazon Q Business Lite ($3/user/month) to test enterprise AI functionality” Claude Haiku 4.5 · budget prompt · first choice
“1. Amazon Q Business Lite — *Best Value for Enterprise Features*” GLM 4.7 FlashX · budget prompt · first choice
Also compared
Microsoft 365 Copilot vs ChatGPTMicrosoft 365 Copilot vs GleanMicrosoft 365 Copilot vs Google Gemini for WorkspaceMicrosoft 365 Copilot vs Claude for WorkChatGPT vs Amazon QGlean vs Amazon QAmazon Q vs Google Gemini for WorkspaceAmazon Q 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.