Four of twelve models named BambooHR first on the direct prompt; five named Rippling. BambooHR was named by twelve of the twelve models and Rippling by eleven and BambooHR carries 41 labels and Rippling 27, so the shares are not directly comparable.
Named in twenty-four categories this edition.
Named in twenty-eight categories this edition.
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 leave and absence management page.
Across every category in the September 2026 Edition, BambooHR and Rippling were named in the same answer 524 times, of the 1110 answers naming BambooHR and the 1168 naming Rippling. In those answers Rippling took the first choice eighty times and BambooHR eighty-eight.
| 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 |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Generic HR Platforms with Weak Leave Modules ... Tools like BambooHR receive consistent complaints about: Limited customization” Kimi K2 · negative prompt · hard negative
“Avoid full HR like BambooHR/Gusto ($6+/user or flat fees) unless you need payroll too.” Grok 4.1 Fast · budget prompt · hard negative
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Multiple reviews strongly caution against it for non-US / India-based teams” DeepSeek V4 Flash · negative prompt · hard negative
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.