Zero of fourteen models named Homebase first on the direct prompt; zero named Connecteam. Homebase was named by ten of the fourteen models and Connecteam by ten and Homebase carries 10 labels and Connecteam 13, so the shares are not directly comparable.
Named in twelve categories this edition.
Named in eighteen 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 workforce planning page.
Across every category in the November 2026 Edition, Homebase and Connecteam were named in the same answer 248 times, of the 382 answers naming Homebase and the 718 naming Connecteam. In those answers Connecteam took the first choice fifty-six times and Homebase sixty-seven.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.20 | ||||||
| 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. Two of two in this category shown.
“Not a strategic planning tool.” DeepSeek V4 Flash · comparative prompt · soft negative
“I'd recommend starting with Connecteam's free plan if you have 10 or fewer employees, as it offers the most comprehensive feature set at no cost.” Kimi K2 · 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.