Hudu vs GitBook
Four of fourteen models named Hudu first on the direct prompt; one named GitBook. Hudu was named by thirteen of the fourteen models and GitBook by eleven and Hudu carries 32 labels and GitBook 21, so the shares are not directly comparable.
Named in one category 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 IT documentation page.
By framing
HuduFirst choices, of fourteen modelsGitBook
Across every category in the October 2026 Edition, Hudu and GitBook were named in the same answer seventeen times, of the 88 answers naming Hudu and the 64 naming GitBook. In those answers GitBook took the first choice zero times and Hudu eight.
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 4.1 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 | | | | |
Hudu GitBook first choice named as an alternative argued againstblank: not namedEach cell is one answer, Hudu on the left and GitBook on the right.The direct prompt
Hudu first, GitBook an alternative
4 of 14 modelsGitBook was named in the answer but not as the choice, or not at all.GitBook first, Hudu not the choice
1 of 14 modelsHudu was named in the answer but not as the choice, or not at all.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.Neither was named
7 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
What the models said about Hudu
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Hudu self-hosted if you don’t want to own backup operations... it’s a real operational responsibility—not “set and forget.”” GPT-6 Luna · negative prompt · soft negative
“lacks some security controls found in competitors” Muse Glimmer 30B · negative prompt · soft negative
“Hudu has gained immense popularity in the IT community specifically because it has friendly pricing, flexible contracts, self-hosted or cloud options, and rapid development” Gemini 3.5 Flash · negative prompt · first choice
“I'd generally recommend Hudu if you want the best balance of IT knowledge base + asset documentation + cost control” GPT-5.4 mini · paraphrase prompt · first choice
“I'd recommend Hudu as the best balance of: Purpose-built IT documentation features - Reasonable pricing” Kimi K2 · direct prompt · first choice
What the models said about GitBook
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“General Cloud Wikis (GitBook, Notion, etc.) ... Data lock-in: Proprietary formats that make migration difficult” Kimi K2 · negative prompt · soft negative
“usually more oriented toward publishable documentation than general internal IT documentation” Perplexity Sonar · budget prompt · soft negative
“Confluence + Atlassian Marketplace or GitBook are the top two choices” GLM 4.7 FlashX · direct prompt · first choice
“GitBook best for developer documentation and API references.” Muse Glimmer 30B · comparative prompt · first choice
“Confluence, Notion, or GitBook | If your IT team behaves like a DevOps team.” Gemini 3.5 Flash · scale prompt · alternative
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.