HiBob vs Gusto
Two of fourteen models named HiBob first on the direct prompt; zero named Gusto. Both were named by all fourteen models and HiBob carries 37 labels and Gusto 43, so the shares are not directly comparable.
Named in twenty-two categories this edition.
Named in twenty-one 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
HiBobFirst choices, of fourteen modelsGusto
Across every category in the November 2026 Edition, HiBob and Gusto were named in the same answer eighty-three times, of the 375 answers naming HiBob and the 855 naming Gusto. In those answers Gusto took the first choice ten times and HiBob six.
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 4.20 | | | | | ||
| 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 | | | |
HiBob Gusto first choice named as an alternative argued againstblank: not namedEach cell is one answer, HiBob on the left and Gusto on the right.The direct prompt
HiBob first, Gusto an alternative
2 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
9 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
HiBob8%#4 of 15Gusto6%#6 of 15What the models said about HiBob
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“HiBob for payroll-heavy or highly global deployments: Its payroll coverage varies by country, and missing modules such as payroll or ATS may require integrations.” Perplexity Sonar · negative prompt · soft negative
“I recommend starting with demos of Rippling and HiBob—they're the most frequently recommended for mid-market B2B scaling.” Grok 4.20 · direct prompt · first choice
What the models said about Gusto
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Users report frequent failures in paying payroll taxes and lackluster customer support, making it a risky choice” Mistral Small · 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.