Deputy vs Connecteam
Zero of fourteen models named Deputy first on the direct prompt; zero named Connecteam. Deputy was named by fourteen of the fourteen models and Connecteam by twelve and Deputy carries 28 labels and Connecteam 19, so the shares are not directly comparable.
Named in ten categories 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 workforce management suites page.
By framing
DeputyFirst choices, of fourteen modelsConnecteam
Across every category in the October 2026 Edition, Deputy and Connecteam were named in the same answer 131 times, of the 280 answers naming Deputy and the 578 naming Connecteam. In those answers Connecteam took the first choice twenty-eight times and Deputy sixteen.
Every model, every framing
| 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 | | |
Deputy Connecteam first choice named as an alternative argued againstblank: not namedEach cell is one answer, Deputy on the left and Connecteam on the right.The direct prompt
Neither was the first choice, one was named
1 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
13 of 14 modelsThe answer made no first choice from these two in this category.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.
By buyer segment
Connecteam9%#3 of 14Deputy7%#5 of 14Deputy4%#6 of 17Connecteam4%#8 of 17Deputy2%#8 of 13Connecteam2%#– of 13What the models said about Deputy
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“Small-business / lightweight tools like Homebase, When I Work, Connecteam, Deputy, and similar SMB-first tools” Llama 4 Maverick · negative prompt · hard negative
“Great for very small teams, but they often hit "walls" when trying to integrate with larger ERP or Payroll ecosystems.” Qwen 3.7 Flash · negative prompt · soft negative
“if looking for the strongest all-around fit for a mid-sized operation, I recommend Deputy.” Qwen 3.7 Flash · paraphrase prompt · first choice
What the models said about Connecteam
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Small-business / lightweight tools like Homebase, When I Work, Connecteam, Deputy” Llama 4 Maverick · negative prompt · hard negative
“The mobile app can be slow or unreliable when clocking in, and leave management tools lack flexibility for complex rosters” Claude Haiku 4.5 · negative prompt · soft negative
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.