Four of fourteen models named ADP Workforce Now first on the direct prompt; zero named Toggl Track. ADP Workforce Now was named by thirteen of the fourteen models and Toggl Track by ten and ADP Workforce Now carries 29 labels and Toggl Track 13, so the shares are not directly comparable.
Named in nineteen categories this edition.
Named in three 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 time and attendance 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.
No label in this category carried a quote.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“Toggl Track is widely considered the most user-friendly tool on the market... Toggl Track is the easiest overlay tool to integrate.” Gemini 3.5 Flash · paraphrase prompt · first choice
“Toggl Track - a strong choice for mid-sized companies, especially professional services firms with 50-250 employees.” Llama 4 Maverick · paraphrase prompt · first choice
“I'd recommend Toggl Track as the primary choice” DeepSeek V4 Flash · 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.