HR AI assistants · November 2026 Edition
HiBob vs ChatGPT
Seven of fourteen models named HiBob first on the direct prompt; zero named ChatGPT. HiBob was named by eleven of the fourteen models and ChatGPT by twelve and HiBob carries 12 labels and ChatGPT 17, so the shares are not directly comparable.
Named in twenty-two categories this edition.
ChatGPT
accepted challengerNamed in four categories this edition.
First-choice share12%12%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%18%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#4A position in a field of 14; printed, not drawn.
Labels1217A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, HiBob reading right to left. Rank and label count are printed, not drawn.Leena AI was named alongside these two in thirteen of the fourteen direct answers. MeBeBot vs HiBob · MeBeBot vs ChatGPT · Leena AI vs HiBob
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 HR AI assistants page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
HiBobFirst choices, of fourteen modelsChatGPTDirect70
Paraphrase00
Comparative001 against ChatGPT
Budget-constrained07
Scale-constrained00
Negative002 against ChatGPT
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 HiBob and ChatGPT stood in it.
| Model | DirectCH | ParaphraseCH | ComparativeCH | Budget-constrainedCH | Scale-constrainedCH | NegativeCH |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | CH | CH | ||||
| GPT-5.4 mini | | | ||||
| Gemini 3.5 Flash | | CH | ||||
| Perplexity Sonar | CH | CH | CH | |||
| Grok 4.20 | | CH | CH | |||
| Mistral Small | | |||||
| DeepSeek V4 Flash | | CH | ||||
| Llama 4 Maverick | CH | |||||
| Qwen 3.7 Flash | | CH | ||||
| Kimi K2 | | CH | ||||
| GLM 4.7 FlashX | | CH | ||||
| MiniMax M2.5 | | CH | ||||
| GPT-6 Luna | CH | |||||
| Muse Glimmer 30B | | CH |
HiBobCH ChatGPT first choice named as an alternative argued againstblank: not namedEach cell is one answer, HiBob on the left and ChatGPT on the right.The direct prompt
The plain question, one answer per model, grouped by where HiBob and ChatGPT stood in it.
HiBob first, ChatGPT not the choice
7 of 14 modelsChatGPT was named in the answer but not as the choice, or not at all.Gemini 3.5 FlashHiBob alternatives: Ask BambooHR, Lattice, Leena AI, Metaview, Moveworks, Paradox, Rippling, Workativ Assistant
Grok 4.20HiBob alternatives: Leena AI, Microsoft Copilot, Moveworks, Workativ Assistant
Qwen 3.7 FlashHiBob alternatives: Harmony, Leena AI, Rippling, eesel AI
Kimi K2HiBob alternatives: BambooHR with Bamboo AI, Leena AI, Paradox
GLM 4.7 FlashXHiBob, Wisq Harper alternatives: Leena AI, MeBeBot, Rippling
MiniMax M2.5HiBob, MeBeBot alternatives: Leena AI, Rippling, Workativ Assistant
Muse Glimmer 30BHiBob, MeBeBot alternatives: Atomicwork, Harmony, Leena AI, Paradox, Rippling, Workday Illuminate
Neither was the first choice, one was named
4 of 14 modelsThe answer put something else first and named one of the two as an alternative.Claude Haiku 4.5Leena AI alternatives: ChatGPT, HiBob, Lattice, Workable
GPT-5.4 miniLeena AI, Zendesk Employee Service Suite alternatives: HiBob, Rippling
Mistral SmallMeBeBot alternatives: Harmony, HiBob, Leena AI, Rippling, eesel AI
DeepSeek V4 FlashRippling alternatives: HiBob, Leena AI, MeBeBot
Neither was named
3 of 14 modelsThe answer made no first choice from these two in this category.Perplexity SonarLeena AI alternatives: Ask BambooHR, Harmony, Lattice, Rippling, Workativ Assistant
Llama 4 MaverickMeBeBot alternatives: Atomicwork, Harmony, HiBob's Bob, Leena AI, Rippling, Wisq Harper
GPT-6 LunaWorkativ Assistant alternatives: MeBeBot, Moveworks, Rippling
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
ChatGPT leads by fourteen points.
ChatGPT14%#4 of 12
HiBob0%#– of 12Mid-marketThe figures above
Level: the same share of first choices.
HiBob12%#3 of 14ChatGPT12%#4 of 14
The full mid-market standing →Enterprise
What the models said about HiBob
No label in this category carried a quote.
What the models said about ChatGPT
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Consumer-grade ChatGPT, Gemini, Claude, or similar accounts for employee records. Avoid entering salaries, health information, union activity, disciplinary details” Perplexity Sonar · negative prompt · hard negative
“The best value combination for very tight budgets would be ChatGPT/Claude (free) combined with Zoho People ($4/user)” MiniMax M2.5 · budget prompt · first choice
“ChatGPT (free forever) is the best free AI software for HR professionals in 2026, most versatile for general HR tasks.” Claude Haiku 4.5 · budget prompt · first choice
“ChatGPT (with GPT-4o mini or similar) or Claude (free tier) is the best option for most HR teams on a limited budget.” Grok 4.20 · budget prompt · first choice
Also compared
MeBeBot vs HiBobMeBeBot vs ChatGPTLeena AI vs HiBobLeena AI vs ChatGPTHiBob vs ClaudeHiBob vs Ask BambooHRHiBob vs RipplingHiBob vs Workativ AssistantChatGPT vs ClaudeChatGPT vs Ask BambooHRChatGPT vs RipplingChatGPT vs Workativ AssistantAll twenty-eight head-to-head pages and the full HR AI assistants 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.