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Employee monitoring · November 2026 Edition

Hubstaff vs Clockify

One of fourteen models named Hubstaff first on the direct prompt; zero named Clockify. Hubstaff was named by fourteen of the fourteen models and Clockify by nine and Hubstaff carries 54 labels and Clockify 12, so the shares are not directly comparable.

Hubstaff

accepted challenger

Named in seven categories this edition.

Clockify

accepted challenger

Named in six categories this edition.

First-choice share18%4%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#2#5A position in a field of 10; printed, not drawn.
Labels5412A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Hubstaff reading right to left. Rank and label count are printed, not drawn.ActivTrak was named alongside these two in fourteen of the fourteen direct answers. ActivTrak vs Hubstaff · ActivTrak vs Clockify · Hubstaff vs Insightful

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.
HubstaffFirst choices, of fourteen modelsClockify
Direct10
Paraphrase30
Comparative00
Budget-constrained52
Scale-constrained00
Negative005 against Hubstaff
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 November 2026 Edition, Hubstaff and Clockify were named in the same answer forty-eight times, of the 187 answers naming Hubstaff and the 150 naming Clockify. In those answers Clockify took the first choice nine times and Hubstaff five.

Every model, every framing

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

The direct prompt

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

Hubstaff first, Clockify not the choice

1 of 14 modelsClockify was named in the answer but not as the choice, or not at all.
Qwen 3.7 FlashHubstaff alternatives: ActivTrak, Teramind, Time Doctor

Neither was the first choice, one was named

8 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniActivTrak alternatives: Hubstaff, Insightful, Teramind
Gemini 3.5 FlashActivTrak alternatives: Hubstaff, Insightful, Teramind
Perplexity SonarActivTrak alternatives: Hubstaff, Insightful, Teramind, WorkTime
Grok 4.20ActivTrak alternatives: Hubstaff, Insightful
DeepSeek V4 FlashActivTrak alternatives: Hubstaff, Insightful, Teramind, Time Doctor
Kimi K2ActivTrak alternatives: Hubstaff, Teramind, Time Doctor
GPT-6 LunaActivTrak alternatives: Hubstaff, Teramind
Muse Glimmer 30BActivTrak alternatives: Hubstaff, Teramind

Neither was named

5 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Insightful alternatives: ActivTrak, Teramind, eMonitor
Mistral SmallActivTrak, Insightful alternatives: CurrentWare, Time Doctor
Llama 4 MaverickActivTrak
GLM 4.7 FlashXInsightful alternatives: ActivTrak, BambooHR, Teramind, Veriato
MiniMax M2.5ActivTrak, Insightful alternatives: Teramind

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
Hubstaff leads by eighteen points.
Hubstaff20%#2 of 11
Clockify2%#7 of 11
The full small business standing →
Mid-marketThe figures above
Hubstaff leads by fourteen points.
Hubstaff18%#2 of 10
Clockify4%#5 of 10
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Hubstaff0%#8 of 10
Clockify0%#– of 10
The full enterprise standing →

What the models said about Hubstaff

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

“Hubstaff *measures the movement of the mouse and the speed of keyboard strokes to endure high levels of productivity.*” Muse Glimmer 30B · negative prompt · soft negative
“Best Value for Small Teams: Hubstaff and HiveDesk offer core features (screenshots, time tracking) at the lowest cost.” GLM 4.7 FlashX · budget prompt · first choice
“The Best All-Rounder: Hubstaff ... likely the strongest option for general-purpose remote team management” Qwen 3.7 Flash · direct prompt · first choice
“Hubstaff stands out as one of the best employee monitoring tools for companies with a limited budget.” Grok 4.20 · budget prompt · first choice

What the models said about Clockify

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

“or Clockify free for basic time tracking for up to 5 users. Both are repeatedly listed as best for small / transparent teams.” Muse Glimmer 30B · budget prompt · first choice
“If your budget is $0: Go with Clockify (desktop/office teams) or Jibble (field/mobile teams).” Gemini 3.5 Flash · budget prompt · first choice
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.