Four 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 40 labels and Amazon Q 16, so the shares are not directly comparable.
Named in three categories this edition.
Named in one category this edition.
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.
Across every category in the October 2026 Edition, Microsoft 365 Copilot and Amazon Q were named in the same answer thirty-four times, of the 129 answers naming Microsoft 365 Copilot and the 44 naming Amazon Q. In those answers Amazon Q took the first choice six times and Microsoft 365 Copilot fifteen.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.1 Fast | ||||||
| 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 |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Multiple controversies—EchoLeak (CVE-2025-32711) enabled zero-click data extraction via email injections; summarized confidential emails ignoring DLP/sensitivity labels.” Grok 4.1 Fast · negative prompt · hard negative
“Microsoft 365 Copilot was exploited via a zero‑click prompt injection in email (CVE‑2025‑32711), exfiltrating data from OneDrive/SharePoint/Teams without user action.” GLM 4.7 FlashX · negative prompt · hard negative
“Do not deploy M365 Copilot unless you have spent months cleaning up internal file-sharing permissions” Gemini 3.5 Flash · negative prompt · hard negative
“If an organization uses Windows and O365 exclusively, Copilot is the default choice due to seamless access to SharePoint documents without leaving the app.” Qwen 3.7 Flash · comparative prompt · first choice
“my default recommendation would be Microsoft 365 Copilot if your employees already live in Microsoft 365 and Teams” GPT-5.4 mini · paraphrase prompt · first choice
“My default recommendation: choose Microsoft 365 Copilot if your company already runs on Microsoft 365” GPT-6 Luna · paraphrase prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“While GitHub Copilot, Amazon Q, and similar developer tools greatly speed up boilerplate coding, they come with a major catch.” Gemini 3.5 Flash · negative prompt · soft negative
“Amazon Q Business (AWS-Dependent Organizations) Concerns include: Vendor Lock-in” Kimi K2 · negative prompt · soft negative
“Noted as closed to new customers as of July 31, 2026 in one vendor comparison.” Muse Glimmer 30B · comparative prompt · soft negative
“For the absolute lowest cost with solid enterprise features, Amazon Q Business at $20/user/month is your best bet.” Claude Haiku 4.5 · budget prompt · first choice
“The best enterprise AI assistant for a company with a limited budget is Amazon Q Business, which costs $20/user/month” Llama 4 Maverick · budget prompt · first choice
“Amazon Q Business Lite at $3/user/month is the most budget‑friendly enterprise AI assistant available today” GLM 4.7 FlashX · budget prompt · first choice
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.