Workleap Officevibe vs 15Five Engage
One of fourteen models named Workleap Officevibe first on the direct prompt; zero named 15Five Engage. Workleap Officevibe was named by fourteen of the fourteen models and 15Five Engage by thirteen and Workleap Officevibe carries 35 labels and 15Five Engage 28, so the shares are not directly comparable.
Named in two categories this edition.
Named in one category 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 employee engagement surveys page.
By framing
Workleap OfficevibeFirst choices, of fourteen models15Five Engage
Across every category in the October 2026 Edition, Workleap Officevibe and 15Five Engage were named in the same answer fifty-nine times, of the 100 answers naming Workleap Officevibe and the 82 naming 15Five Engage. In those answers 15Five Engage took the first choice eight times and Workleap Officevibe twenty-two.
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 | | | | |
Workleap Officevibe 15Five Engage first choice named as an alternative argued againstblank: not namedEach cell is one answer, Workleap Officevibe on the left and 15Five Engage on the right.The direct prompt
Workleap Officevibe first, 15Five Engage not the choice
1 of 14 models15Five Engage was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
11 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
2 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
Workleap Officevibe41%#1 of 915Five Engage14%#3 of 9Workleap Officevibe13%#2 of 815Five Engage5%#5 of 8Workleap Officevibe2%#– of 915Five Engage0%#9 of 9What the models said about Workleap Officevibe
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“don't shortlist Officevibe based on older $5-per-person pricing articles: Workleap's current published plans start at $4,999/year” GPT-6 Luna · budget prompt · hard negative
“a simpler, much more affordable alternative to Workleap (formerly Officevibe), which recently retired its popular free/cheap tier” Gemini 3.5 Flash · budget prompt · soft negative
“Workleap (Officevibe) at $5/user/month appears to be the best balance of features, affordability, and ease of use” MiniMax M2.5 · budget prompt · first choice
“Workleap Officevibe stands out as the best dedicated employee engagement platform for budget-conscious companies” Kimi K2 · budget prompt · first choice
“Officevibe is often cited as the best value for small budgets due to its low per-user cost and simplicity” Mistral Small · budget prompt · first choice
What the models said about 15Five Engage
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“I'd recommend starting with Leapsome or 15Five” MiniMax M2.5 · paraphrase prompt · first choice
“Best low-cost dedicated option: 15Five Engage.” GPT-6 Luna · budget prompt · first choice
“Start with Culture Amp or 15Five:” Kimi K2 · paraphrase 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.