Zero of twelve models named Homebase first on the direct prompt; zero named TimeCamp. Homebase was named by twelve of the twelve models and TimeCamp by nine and Homebase carries 18 labels and TimeCamp 10, so the shares are not directly comparable.
Named in eleven 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 twelve 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 |
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. One of one in this category shown.
“Limitation: Free version lacks real-time attendance monitoring and time-off tracking” Kimi K2 · budget prompt · soft negative
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“a cloud-based solution that offers a free or low-cost plan, such as TimeCamp, Connecteam, or Homebase” Llama 4 Maverick · budget prompt · first choice
“TimeCamp or Clockify offer the best balance of features and price” GLM 4.7 FlashX · budget prompt · first choice
“TimeCamp (if you need advanced features like invoicing)” MiniMax M2.5 · budget 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.