Zero of fourteen models named LeaveBoard first on the direct prompt; one named ADP Workforce Now. LeaveBoard was named by thirteen of the fourteen models and ADP Workforce Now by nine and LeaveBoard carries 25 labels and ADP Workforce Now 17, so the shares are not directly comparable.
Named in one category this edition.
Named in nineteen 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 leave and absence management page.
| 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 |
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. Three of four in this category shown.
“Sticking to dedicated leave trackers like Timetastic or LeaveBoard ensures you aren't paying for features you don't use.” Qwen 3.7 Flash · budget prompt · first choice
“LeaveBoard standing out for very small teams because it offers a free plan for up to 9 employees” Perplexity Sonar · budget prompt · first choice
“actiPLANS up to 3 users free or LeaveBoard up to 9 users free is the lowest-risk entry point” Muse Glimmer 30B · budget 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.