Seven of fourteen models named Rippling first on the direct prompt; two named Paycom. Rippling was named by thirteen of the fourteen models and Paycom by eleven and Rippling carries 43 labels and Paycom 22, so the shares are not directly comparable.
Named in twenty-nine categories this edition.
Named in fourteen categories this edition.
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 payroll software page.
| 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 |
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.
No label in this category carried a quote.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Legal troubles like an SEC settlement for overbilling, ongoing securities fraud class action” Grok 4.1 Fast · negative prompt · hard negative
“Paycom is highlighted for mid-market businesses that want staff to run their own payroll” Mistral Small · paraphrase prompt · first choice
“ADP Workforce Now, Paycom, and Paycor are often top recommendations” MiniMax M2.5 · direct prompt · first choice
“Best for mid-market businesses looking to have staff run their own payroll” Claude Haiku 4.5 · direct prompt · first choice
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.