Notion vs Docusaurus
One of fourteen models named Notion first on the direct prompt; zero named Docusaurus. Notion was named by thirteen of the fourteen models and Docusaurus by nine and Notion carries 50 labels and Docusaurus 12, so the shares are not directly comparable.
Named in four categories this edition.
Docusaurus
accepted challengerNamed 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
NotionFirst choices, of fourteen modelsDocusaurusAcross every category in the October 2026 Edition, Notion and Docusaurus were named in the same answer twenty-one times, of the 171 answers naming Notion and the 23 naming Docusaurus. In those answers Docusaurus took the first choice two times and Notion five.
Every model, every framing
| Model | DirectDO | ParaphraseDO | ComparativeDO | Budget-constrainedDO | Scale-constrainedDO | NegativeDO |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | |||||
| GPT-5.4 mini | DO | | ||||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | DO | ||||
| Grok 4.1 Fast | | | | | | |
| Mistral Small | | | | | ||
| DeepSeek V4 Flash | | | | |||
| Llama 4 Maverick | | | ||||
| Qwen 3.7 Flash | | DO | DO | |||
| Kimi K2 | | | | | DO | |
| GLM 4.7 FlashX | | DO | DO | |||
| MiniMax M2.5 | | | | |||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B | | | DO |
NotionDO Docusaurus first choice named as an alternative argued againstblank: not namedEach cell is one answer, Notion on the left and Docusaurus on the right.The direct prompt
Notion first, Docusaurus not the choice
1 of 14 modelsDocusaurus 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
Notion0%#12 of 12What the models said about Notion
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 for enterprise IT due to potential sprawl and compliance gaps.” Grok 4.1 Fast · negative prompt · hard negative
“They lack the rigorous version control, strict IT governance, and relational asset linking needed for technical infrastructure” Gemini 3.5 Flash · direct prompt · soft negative
“Avoid or proceed cautiously for: Large enterprises, strict compliance environments, mission-critical IT docs” Qwen 3.7 Flash · negative prompt · soft negative
“The Best All-Rounder (Free Tier): Notion ... widely considered the best choice for startups and small teams.” Qwen 3.7 Flash · budget prompt · first choice
“The best IT documentation platform for a company with a limited budget is likely to be Notion” Llama 4 Maverick · budget prompt · first choice
“Document360 and Notion are frequently cited as the best choices” Mistral Small · direct prompt · first choice
What the models said about Docusaurus
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“like MkDocs or Docusaurus if your team lacks the engineering capacity to maintain them” Perplexity Sonar · negative prompt · soft negative
“Docusaurus is the go-to free open-source choice.” Muse Glimmer 30B · budget prompt · first choice
“Choose Docusaurus/MkDocs/Sphinx if your team prefers docs-as-code and Git workflows.” GPT-5.4 mini · comparative prompt · alternative
“Static site generators | Docusaurus, Starlight, VuePress | Markdown-based, portable” Kimi K2 · negative 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.