Glean vs Amazon Q
One of fourteen models named Glean first on the direct prompt; zero named Amazon Q. Glean was named by eleven of the fourteen models and Amazon Q by ten and Glean carries 33 labels and Amazon Q 16, so the shares are not directly comparable.
Named in two 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.
By framing
GleanFirst choices, of fourteen modelsAmazon Q
Across every category in the November 2026 Edition, Glean and Amazon Q were named in the same answer twenty-seven times, of the 95 answers naming Glean and the 41 naming Amazon Q. In those answers Amazon Q took the first choice two times and Glean one.
Every model, every framing
| 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 | |
Glean Amazon Q first choice named as an alternative argued againstblank: not namedEach cell is one answer, Glean on the left and Amazon Q on the right.The direct prompt
Glean first, Amazon Q not the choice
1 of 14 modelsAmazon Q was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
8 of 14 modelsThe answer made no first choice from these two in this category.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
Glean8%#3 of 9Amazon Q6%#4 of 9What the models said about Glean
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid high-cost options like Microsoft 365 Copilot ($30/user/month) or Glean (~$40–50/user/month)” Kimi K2 · budget prompt · hard negative
“Avoid ChatGPT Enterprise, Glean, or custom agent platforms initially” Perplexity Sonar · budget prompt · hard negative
“Stay away from ... Glean (~$98K/year)” DeepSeek V4 Flash · budget prompt · hard negative
“Glean — *Best Overall for Multi-App Search & Work Knowledge* ... is widely considered the top enterprise AI platform.” Gemini 3.5 Flash · paraphrase prompt · first choice
“The Best All-Rounder for Knowledge Search: Glean ... Glean is the industry leader for "Enterprise Search."” Qwen 3.7 Flash · paraphrase prompt · first choice
“Winner: Glean ... Glean is the leader. It acts as a universal search bar across all enterprise apps” Qwen 3.7 Flash · direct 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
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.