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Employee monitoring · October 2026 Edition

Apploye vs DeskTime

Zero of fourteen models named Apploye first on the direct prompt; zero named DeskTime. Apploye was named by ten of the fourteen models and DeskTime by eleven and Apploye carries 11 labels and DeskTime 18, so the shares are not directly comparable.

Apploye

accepted challenger

Named in three categories this edition.

DeskTime

accepted challenger

Named in one category this edition.

First-choice share12%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate9%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#6A position in a field of 7; printed, not drawn.
Labels1118A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Apploye reading right to left. Rank and label count are printed, not drawn.ActivTrak was named alongside these two in thirteen of the fourteen direct answers. ActivTrak vs Apploye · ActivTrak vs DeskTime · Insightful vs Apploye

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 employee monitoring page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
ApployeFirst choices, of fourteen modelsDeskTime
Direct00
Paraphrase00
Comparative00
Budget-constrained61
Scale-constrained00
Negative001 against Apploye
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the October 2026 Edition, Apploye and DeskTime were named in the same answer eighteen times, of the 36 answers naming Apploye and the 42 naming DeskTime. In those answers DeskTime took the first choice one time and Apploye six.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Apploye and DeskTime stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Apploye DeskTime first choice named as an alternative argued againstblank: not namedEach cell is one answer, Apploye on the left and DeskTime on the right.

The direct prompt

The plain question, one answer per model, grouped by where Apploye and DeskTime stood in it.

Neither was named

14 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5eMonitor alternatives: ActivTrak, Hubstaff, Insightful, Teramind
GPT-5.4 miniActivTrak alternatives: Hubstaff, Teramind
Gemini 3.5 FlashActivTrak alternatives: Insightful, Teramind, Time Doctor
Perplexity SonarInsightful alternatives: ActivTrak, Hubstaff, Teramind, Time Doctor
Grok 4.1 FastInsightful alternatives: ActivTrak, Teramind, Time Doctor, WebWork Time Tracker
Mistral SmallActivTrak alternatives: Insightful, Time Doctor
DeepSeek V4 FlashActivTrak alternatives: Hubstaff, Teramind, Time Doctor
Llama 4 Maverickno first choice
Qwen 3.7 FlashActivTrak alternatives: Google Workplace Insights, HubSpot Insights, Hubstaff, Microsoft Viva Insights, Salesforce Activity Monitoring, Teramind
Kimi K2ActivTrak alternatives: Hubstaff, Teramind, Time Doctor
GLM 4.7 FlashXActivTrak alternatives: Controlio, Hubstaff, Insightful, Teramind
MiniMax M2.5E-Monitor alternatives: ActivTrak, Insightful, Time Doctor
GPT-6 LunaActivTrak alternatives: Insightful, Teramind
Muse Glimmer 30BActivTrak, Time Doctor alternatives: E-Monitor, Hubstaff, Insightful

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

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Apploye leads by eight points.
Apploye10%#3 of 10
DeskTime2%#8 of 10
The full small business standing →
Mid-marketThe figures above
Apploye leads by ten points.
Apploye12%#3 of 7
DeskTime2%#6 of 7
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Apploye0%#– of 8
DeskTime0%#– of 8
The full enterprise standing →

What the models said about Apploye

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.

“Specific Platforms to Be Cautious About ... Apploye” Gemini 3.5 Flash · negative prompt · soft negative
“For most budget-conscious small businesses, Apploye or DeskTime offer the best combination of affordability and essential monitoring features.” Claude Haiku 4.5 · budget prompt · first choice
“The best employee monitoring tool for a company with a limited budget is Apploye, which is considered the best budget-friendly option for small teams.” Llama 4 Maverick · budget prompt · first choice
“Offers the lowest starting price among many options, and its free plan covers up to 10 users, making it ideal for very small teams or startups.” Mistral Small · budget prompt · first choice

What the models said about DeskTime

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“DeskTime being the cheapest option at around $3.50” Claude Haiku 4.5 · budget prompt · first choice
“Affordable at ~$6.42/user/month (billed annually)... but no robust free plan for ongoing use.” Grok 4.1 Fast · budget prompt · alternative
“DeskTime / ActivTrak if you want more productivity analytics and are okay paying more.” GPT-5.4 mini · budget prompt · alternative
Also compared

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.