Five of twelve models named Connecteam first on the direct prompt; zero named MangoApps. Connecteam was named by twelve of the twelve models and MangoApps by nine and Connecteam carries 48 labels and MangoApps 11, so the shares are not directly comparable.
Named in seventeen categories this edition.
Named in two categories 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 frontline employee apps 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.
“For most companies with a limited budget and a frontline workforce, Connecteam is the strongest all‑in‑one choice (free up to 10 users).” GLM 4.7 FlashX · budget prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“My Top Recommendation: MangoApps or Skedulo” MiniMax M2.5 · paraphrase prompt · first choice
“Unified platform for mixed desk + frontline staff with HR/learning integration | MangoApps” GLM 4.7 FlashX · comparative prompt · alternative
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.