IT documentation · November 2026 Edition
Freshservice vs Document360
Zero of fourteen models named Freshservice first on the direct prompt; three named Document360. Freshservice was named by twelve of the fourteen models and Document360 by thirteen and Freshservice carries 18 labels and Document360 35, so the shares are not directly comparable.
Named in ten categories this edition.
Named in one category this edition.
First-choice share9%5%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%6%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#6A position in a field of 15; printed, not drawn.
Labels1835A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Freshservice reading right to left. Rank and label count are printed, not drawn.Confluence was named alongside these two in fourteen of the fourteen direct answers. Hudu vs Freshservice · Hudu vs Document360 · Confluence vs Freshservice
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
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
FreshserviceFirst choices, of fourteen modelsDocument360
Direct03
Paraphrase50
Comparative00
Budget-constrained001 against Document360
Scale-constrained00
Negative001 against Document360
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.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Freshservice and Document360 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 | | | | |
Freshservice Document360 first choice named as an alternative argued againstblank: not namedEach cell is one answer, Freshservice on the left and Document360 on the right.The direct prompt
The plain question, one answer per model, grouped by where Freshservice and Document360 stood in it.
Document360 first, Freshservice an alternative
3 of 14 modelsFreshservice was named in the answer but not as the choice, or not at all.Mistral SmallConfluence, Document360 alternatives: Freshservice, GitBook, IT Glue, Mintlify
GLM 4.7 FlashXDocument360 alternatives: Confluence, GitBook
MiniMax M2.5Document360 alternatives: Confluence, Freshservice, GitBook, Hudu
Neither was the first choice, one was named
8 of 14 modelsThe answer put something else first and named one of the two as an alternative.Claude Haiku 4.5Confluence, Hudu alternatives: Document360, Tettra
GPT-5.4 miniConfluence alternatives: Document360, Guru, IT Glue
Gemini 3.5 FlashHudu alternatives: Confluence, Document360, GitBook, IT Glue, Scribe, Tango
Perplexity SonarHudu alternatives: Confluence, Document360, Freshservice, SharePoint
DeepSeek V4 FlashConfluence, Hudu alternatives: Document360, Notion
Llama 4 MaverickConfluence alternatives: Document360, Freshservice, GitBook
Kimi K2Confluence alternatives: Document360, Notion
Muse Glimmer 30BConfluence alternatives: Document360, Freshservice, Notion
Neither was named
3 of 14 modelsThe answer made no first choice from these two in this category.Grok 4.20Confluence alternatives: GitBook, Hudu, IT Glue, Notion
Qwen 3.7 FlashHudu alternatives: Confluence, Guidde, Scribe
GPT-6 LunaHudu alternatives: Confluence, IT Glue, SharePoint
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
Document360 leads by seven points.
Document3607%#6 of 14Freshservice0%#– of 14Mid-marketThe figures above
The order flips: Freshservice leads at mid-market.
Freshservice9%#4 of 15Document3605%#6 of 15Enterprise
The order flips: Document360 leads at enterprise.
Document36012%#3 of 15Freshservice0%#12 of 15What the models said about Freshservice
No label in this category carried a quote.
What the models said about Document360
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Some models show a high negative rating, indicating potential issues with usability” Mistral Small · negative prompt · soft negative
“Document360 alone has no free plan.” Muse Glimmer 30B · budget prompt · soft negative
“Document360 and Confluence are the top recommendations due to their scalability, user-friendly interfaces, and strong feature sets.” Mistral Small · direct prompt · first choice
“Document360 currently scores best on the criteria that matter most (ease of use, permissions, search, and user ratings)” MiniMax M2.5 · direct prompt · first choice
“Top Recommendation: Document360” GLM 4.7 FlashX · direct prompt · first choice
Also compared
Hudu vs FreshserviceHudu vs Document360Confluence vs FreshserviceConfluence vs Document360BookStack vs FreshserviceBookStack vs Document360Freshservice vs IT GlueFreshservice vs NotionFreshservice vs ONES WikiIT Glue vs Document360Document360 vs NotionDocument360 vs ONES WikiAll twenty-eight head-to-head pages and the full IT documentation 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.