Leave and absence management · October 2026 Edition
Factorial vs ADP Workforce Now
Zero of fourteen models named Factorial first on the direct prompt; one named ADP Workforce Now. Factorial was named by eight of the fourteen models and ADP Workforce Now by nine and Factorial carries 12 labels and ADP Workforce Now 17, so the shares are not directly comparable.
Named in eleven categories this edition.
Named in nineteen categories this edition.
First-choice share4%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate17%29%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#8A 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, Factorial reading right to left. Rank and label count are printed, not drawn.BambooHR was named alongside these two in eleven of the fourteen direct answers. BambooHR vs Factorial · BambooHR vs ADP Workforce Now · LeaveBoard vs Factorial
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 leave and absence management page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
FactorialFirst choices, of fourteen modelsADP Workforce Now
Direct01
Paraphrase20
Comparative00
Budget-constrained00
Scale-constrained00
Negative002 against Factorial · 5 against ADP Workforce Now
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 Factorial and ADP Workforce Now 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 4.1 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 | | |
Factorial ADP Workforce Now first choice named as an alternative argued againstblank: not namedEach cell is one answer, Factorial on the left and ADP Workforce Now on the right.The direct prompt
The plain question, one answer per model, grouped by where Factorial and ADP Workforce Now stood in it.
ADP Workforce Now first, Factorial not the choice
1 of 14 modelsFactorial was named in the answer but not as the choice, or not at all.Grok 4.1 FastADP Workforce Now, BambooHR alternatives: AbsenceSoft, HiBob, Vacation Tracker
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.Qwen 3.7 FlashBambooHR alternatives: ADP Workforce Now, Deel, Remote, Rippling, UKG Ready
Kimi K2HiBob alternatives: ADP Workforce Now, BambooHR, Leapsome, UKG Pro
Neither was named
11 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5Rippling alternatives: BambooHR, HROne, Namely
GPT-5.4 miniRippling alternatives: AbsenceSoft, BambooHR, Namely
Gemini 3.5 FlashHiBob, Rippling alternatives: Calamari, Cocoon, Tilt, Vacation Tracker
Perplexity SonarRippling alternatives: BambooHR, Zoho People
Mistral SmallBambooHR, HiBob alternatives: LeaveBoard, Vacation Tracker
DeepSeek V4 FlashBambooHR alternatives: Deel, Rippling
Llama 4 MaverickVacation Tracker alternatives: Namely, TimeOff.Management
GLM 4.7 FlashXBambooHR alternatives: Dayforce, Rippling, UKG Pro
MiniMax M2.5BambooHR alternatives: Rippling, TimeOff.Management, e-days
GPT-6 LunaTilt alternatives: AbsenceSoft, Sparrow
Muse Glimmer 30BBambooHR, HiBob alternatives: Rippling, Vacation Tracker, e-days
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
Factorial leads by four points.
Factorial4%#6 of 14ADP Workforce Now0%#– of 14Mid-marketThe figures above
Factorial leads by two points.
Factorial4%#6 of 14ADP Workforce Now2%#8 of 14Enterprise
The order flips: ADP Workforce Now leads at enterprise.
ADP Workforce Now4%#4 of 10Factorial0%#– of 10What the models said about Factorial
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“Factorial's deeper features can feel unpolished compared to more established tools, and customer support has been a mixed experience” Claude Haiku 4.5 · negative prompt · soft negative
“Factorial has received complaints about unilateral price doubling without notice” MiniMax M2.5 · negative prompt · soft negative
“Factorial if you want a broader HR platform with PTO as one part of a larger system” Perplexity Sonar · paraphrase prompt · first choice
“Deel HR or Factorial would be top recommendations” Mistral Small · paraphrase prompt · first choice
What the models said about ADP Workforce Now
No label in this category carried a quote.
Also compared
BambooHR vs FactorialBambooHR vs ADP Workforce NowLeaveBoard vs FactorialLeaveBoard vs ADP Workforce NowVacation Tracker vs FactorialVacation Tracker vs ADP Workforce NowRippling vs FactorialRippling vs ADP Workforce NowTimetastic vs FactorialTimetastic vs ADP Workforce NowFactorial vs UKG ProUKG Pro vs ADP Workforce NowAll twenty-eight head-to-head pages and the full leave 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.