Rippling vs Gusto
Nine of fourteen models named Rippling first on the direct prompt; zero named Gusto. Rippling was named by fourteen of the fourteen models and Gusto by thirteen and Rippling carries 49 labels and Gusto 34, so the shares are not directly comparable.
Named in twenty-nine categories this edition.
Named in twenty-four 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.
By framing
RipplingFirst choices, of fourteen modelsGusto
Across every category in the October 2026 Edition, Rippling and Gusto were named in the same answer 512 times, of the 1329 answers naming Rippling and the 926 naming Gusto. In those answers Gusto took the first choice 147 times and Rippling fifty-nine.
Every model, every framing
| 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 | | | | |
Rippling Gusto first choice named as an alternative argued againstblank: not namedEach cell is one answer, Rippling on the left and Gusto on the right.The direct prompt
Rippling first, Gusto not the choice
9 of 14 modelsGusto was named in the answer but not as the choice, or not at all.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.Neither was named
3 of 14 modelsThe answer made no first choice from these two in this category.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
Gusto32%#1 of 10Rippling14%#4 of 10Rippling26%#1 of 13Gusto4%#7 of 13What the models said about Rippling
No label in this category carried a quote.
What the models said about Gusto
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.