Payroll software · September 2026 Edition
ADP vs Paycom
One of twelve models named ADP first on the direct prompt; one named Paycom. ADP was named by eleven of the twelve models and Paycom by eleven and ADP carries 28 labels and Paycom 24, so the shares are not directly comparable.
Named in seventeen categories this edition.
Named in twelve categories this edition.
First-choice share11%6%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate29%25%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#5A position in a field of 13; printed, not drawn.
Labels2824A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, ADP reading right to left. Rank and label count are printed, not drawn.Rippling was named alongside these two in eleven of the twelve direct answers. Rippling vs ADP · Rippling vs Paycom · Patriot Payroll vs ADP
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 payroll software page.
By framing
How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
ADPFirst choices, of twelve modelsPaycom
Direct11
Paraphrase42
Comparative10
Budget-constrained00
Scale-constrained00
Negative008 against ADP · 6 against Paycom
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.
Every model, every framing
The seventy-two answers behind the chart above, one cell each: where ADP and Paycom 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 | | | |
ADP Paycom first choice named as an alternative argued againstblank: not namedEach cell is one answer, ADP on the left and Paycom on the right.The direct prompt
The plain question, one answer per model, grouped by where ADP and Paycom stood in it.
ADP first, Paycom not the choice
1 of 12 modelsPaycom was named in the answer but not as the choice, or not at all.Qwen 3.7 FlashADP, Rippling alternatives: BambooHR, Gusto, Zenefits
Paycom first, ADP an alternative
1 of 12 modelsADP was named in the answer but not as the choice, or not at all.Mistral SmallPaycom alternatives: ADP, Gusto, Paylocity, Rippling
Neither was the first choice, one was named
5 of 12 modelsThe answer put something else first and named one of the two as an alternative.GPT-5.4 miniRippling alternatives: ADP Global Payroll, ADP Workforce Now / ADP Full Service Payroll, Deel, Paycom
Perplexity SonarPaylocity, Rippling alternatives: ADP Workforce Now, Paycom
Grok 4.1 FastPaylocity, Rippling alternatives: ADP Workforce Now, Paycom
DeepSeek V4 FlashPaylocity alternatives: ADP Workforce Now, Paycom, Rippling, UKG Pro
Kimi K2Rippling alternatives: ADP Workforce Now, Gusto, Paycom
Neither was named
5 of 12 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5Rippling alternatives: Paycor, Paylocity
Gemini 3.5 FlashRippling alternatives: ADP Workforce Now, Deel, Paylocity
Llama 4 Maverickno first choice
GLM 4.7 FlashXPaylocity, Rippling alternatives: ADP Workforce Now, Paycor, UKG Pro, Workday
MiniMax M2.5ADP Workforce Now, Paylocity alternatives: Rippling, UKG Pro
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.
ADP0%#9 of 10Paycom0%#– of 10Mid-marketThe figures above
Enterprise
What the models said about ADP
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“legacy/larger enterprise solutions like ADP Workforce Now or standard ADP Payroll Services ... high costs ... poor support accessibility” Qwen 3.7 Flash · negative prompt · hard negative
“Highly recommended for mid-sized companies operating across multiple states... ADP or Paychex are often the top recommendations” Mistral Small · paraphrase prompt · first choice
“Start a demo with ADP if you are risk-averse and prioritize regulatory compliance above all else.” Qwen 3.7 Flash · direct prompt · first choice
“Market Leader: ADP holds the largest market share in the payroll software industry” Mistral Small · comparative prompt · first choice
What the models said about Paycom
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“Platforms with Significant Complaints ... Paycom - Major Issues: Tax filing errors that have caused users "tears"” Kimi K2 · negative prompt · hard negative
“class‑action lawsuit settled for $900K over a 2023 data breach ... This is a red flag for security.” GLM 4.7 FlashX · negative prompt · hard negative
“Paycom stands out as the best overall due to its high user satisfaction, strong support, and efficient implementation.” Mistral Small · direct prompt · first choice
“1. Paycom - named the No. 1 software in Implementation Index for Benefits Support” Llama 4 Maverick · paraphrase prompt · first choice
“I'd recommend starting with Paycom or ADP depending on your priorities” MiniMax M2.5 · paraphrase prompt · first choice
Also compared
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.