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Index › IT › IT operations and endpoint › IT documentation › Freshservice vs ONES Wiki
IT documentation · November 2026 Edition

Freshservice vs ONES Wiki

Zero of fourteen models named Freshservice first on the direct prompt; zero named ONES Wiki. Freshservice was named by twelve of the fourteen models and ONES Wiki by seven and Freshservice carries 18 labels and ONES Wiki 12, so the shares are not directly comparable.

Freshservice

accepted challenger

Named in ten categories this edition.

ONES Wiki

accepted challenger

Named in one category this edition.

First-choice share9%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#8A position in a field of 15; printed, not drawn.
Labels1812A 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 ONES Wiki · 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 modelsONES Wiki
Direct00
Paraphrase50
Comparative01
Budget-constrained01
Scale-constrained00
Negative01
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 ONES Wiki stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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 ONES Wiki first choice named as an alternative argued againstblank: not namedEach cell is one answer, Freshservice on the left and ONES Wiki on the right.

The direct prompt

The plain question, one answer per model, grouped by where Freshservice and ONES Wiki stood in it.

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.
Perplexity SonarHudu alternatives: Confluence, Document360, Freshservice, SharePoint
Mistral SmallConfluence, Document360 alternatives: Freshservice, GitBook, IT Glue, Mintlify
Llama 4 MaverickConfluence alternatives: Document360, Freshservice, GitBook
MiniMax M2.5Document360 alternatives: Confluence, Freshservice, GitBook, Hudu
Muse Glimmer 30BConfluence alternatives: Document360, Freshservice, Notion

Neither was named

9 of 14 modelsThe answer made no first choice from these two in this category.
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
Grok 4.20Confluence alternatives: GitBook, Hudu, IT Glue, Notion
DeepSeek V4 FlashConfluence, Hudu alternatives: Document360, Notion
Qwen 3.7 FlashHudu alternatives: Confluence, Guidde, Scribe
Kimi K2Confluence alternatives: Document360, Notion
GLM 4.7 FlashXDocument360 alternatives: Confluence, GitBook
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
Level: the same share of first choices.
Freshservice0%#– of 14
ONES Wiki0%#12 of 14
The full small business standing →
Mid-marketThe figures above
Freshservice leads by seven points.
Freshservice9%#4 of 15
ONES Wiki2%#8 of 15
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Freshservice0%#12 of 15
ONES Wiki0%#13 of 15
The full enterprise standing →

What the models said about Freshservice

No label in this category carried a quote.

What the models said about ONES Wiki

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“current comparisons point to ONES Wiki as a top pick for engineering teams needing "a fast, privacy-first documentation hub with on-premise deployment"” Muse Glimmer 30B · negative prompt · first choice
“For technical/engineering teams: ONES Wiki or GitBook for their developer-friendly features and integration with code workflows.” Mistral Small · comparative prompt · first choice
“Best free tier for IT teams ... If you prefer cloud-based: ONES Wiki (free up to 30 seats)” MiniMax M2.5 · budget prompt · first choice
Also compared
Hudu vs FreshserviceHudu vs ONES WikiConfluence vs FreshserviceConfluence vs ONES WikiBookStack vs FreshserviceBookStack vs ONES WikiFreshservice vs IT GlueFreshservice vs Document360Freshservice vs NotionIT Glue vs ONES WikiDocument360 vs ONES WikiNotion 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.