Ten of fourteen models named Rippling first on the direct prompt; zero named Deel. Rippling was named by fourteen of the fourteen models and Deel by nine and Rippling carries 57 labels and Deel 14, so the shares are not directly comparable.
Named in thirty-three categories this edition.
Named in fifteen 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 HRIS and HCM platforms page.
Across every category in the November 2026 Edition, Rippling and Deel were named in the same answer 365 times, of the 1650 answers naming Rippling and the 534 naming Deel. In those answers Deel took the first choice sixty-one times and Rippling sixty-seven.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.20 | ||||||
| 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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Highly popular for modern tech-forward, remote/hybrid, and fast-growing teams. Outstanding IT provisioning, global HR/payroll capability, and unified data model.” Gemini 3.5 Flash · scale prompt · first choice
No label in this category carried a quote.
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.