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Index › Core HR and payroll › Time and attendance › Jibble vs Toggl Track
Time and attendance · October 2026 Edition

Jibble vs Toggl Track

Zero of fourteen models named Jibble first on the direct prompt; zero named Toggl Track. Jibble was named by ten of the fourteen models and Toggl Track by ten and Jibble carries 17 labels and Toggl Track 13, so the shares are not directly comparable.

Jibble

accepted challenger

Named in four categories this edition.

Toggl Track

accepted challenger

Named in three categories this edition.

First-choice share10%8%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#7A position in a field of 15; printed, not drawn.
Labels1713A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Jibble reading right to left. Rank and label count are printed, not drawn.Paylocity was named alongside these two in nine of the fourteen direct answers. Clockify vs Jibble · Clockify vs Toggl Track · Paylocity vs Jibble

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 time and attendance page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
JibbleFirst choices, of fourteen modelsToggl Track
Direct00
Paraphrase04
Comparative10
Budget-constrained50
Scale-constrained00
Negative00
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.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Jibble and Toggl Track 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
Jibble Toggl Track first choice named as an alternative argued againstblank: not namedEach cell is one answer, Jibble on the left and Toggl Track on the right.

The direct prompt

The plain question, one answer per model, grouped by where Jibble and Toggl Track stood in it.

Neither was the first choice, one was named

2 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Factorial alternatives: BambooHR Time Tracking, Jibble, Paylocity, Synerion
Gemini 3.5 FlashRippling alternatives: ADP Workforce Now, Everhour, Harvest, Jibble, TCP Software, TimeClock Plus

Neither was named

12 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniADP Workforce Now, UKG Ready alternatives: Paylocity, Rippling
Perplexity SonarPaylocity alternatives: Factorial, Paycor, QuickBooks Time, UKG Ready
Grok 4.1 FastPaylocity, UKG Ready alternatives: ADP Workforce Now, Buddy Punch, QuickBooks Time
Mistral SmallADP Workforce Now alternatives: BambooHR Time Tracking, Paycor
DeepSeek V4 FlashUKG Ready alternatives: ADP Workforce Now, Deputy, Paycom, QuickBooks Time
Llama 4 Maverickno first choice alternatives: BambooHR Time Tracking, Humanity Time, Paycor
Qwen 3.7 FlashPaylocity alternatives: Deputy, Replicon, UKG Pro
Kimi K2Rippling alternatives: Connecteam, Deputy, Paylocity, UKG Ready
GLM 4.7 FlashXConnecteam, Paylocity alternatives: BambooHR Time Tracking, Buddy Punch, Paycom, QuickBooks Time
MiniMax M2.5ADP Workforce Now, Paylocity alternatives: Rippling, TimeCamp, UKG Pro
GPT-6 LunaUKG Ready alternatives: ADP Workforce Now, Deputy, Paylocity
Muse Glimmer 30BADP Workforce Now alternatives: BambooHR Time Tracking, Calamari, Connecteam, UKG Pro / UKG Ready

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
Jibble leads by six points.
Jibble8%#4 of 12
Toggl Track2%#8 of 12
The full small business standing →
Mid-marketThe figures above
Jibble leads by two points.
Jibble10%#4 of 15
Toggl Track8%#7 of 15
The full mid-market standing →
Enterprise
Jibble leads by four points.
Jibble4%#– of 13
Toggl Track0%#– of 13
The full enterprise standing →

What the models said about Jibble

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

“For most budget-conscious businesses, Jibble offers the best combination of a genuinely free unlimited plan, robust attendance features, and a proven track record.” DeepSeek V4 Flash · budget prompt · first choice
“If you need zero cost and unlimited users with verification, Jibble and Clockify are the most commonly recommended.” Muse Glimmer 30B · budget prompt · first choice
“If you have a growing team and zero budget to spend on software, Jibble is the absolute best choice.” Gemini 3.5 Flash · budget prompt · first choice

What the models said about Toggl Track

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

“Toggl Track is widely considered the most user-friendly tool on the market... Toggl Track is the easiest overlay tool to integrate.” Gemini 3.5 Flash · paraphrase prompt · first choice
“Toggl Track - a strong choice for mid-sized companies, especially professional services firms with 50-250 employees.” Llama 4 Maverick · paraphrase prompt · first choice
“I'd recommend Toggl Track as the primary choice” DeepSeek V4 Flash · paraphrase 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.