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Index › HR › Onboarding and employee experience › Frontline employee apps › Blink vs Deputy
Frontline employee apps · November 2026 Edition

Blink vs Deputy

Three of fourteen models named Blink first on the direct prompt; zero named Deputy. Blink was named by fourteen of the fourteen models and Deputy by nine and Blink carries 47 labels and Deputy 14, so the shares are not directly comparable.

Blink

accepted challenger

Named in two categories this edition.

Deputy

accepted challenger

Named in nine categories this edition.

First-choice share9%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#5A position in a field of 13; printed, not drawn.
Labels4714A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Blink reading right to left. Rank and label count are printed, not drawn.Connecteam was named alongside these two in thirteen of the fourteen direct answers. Connecteam vs Blink · Connecteam vs Deputy · Beekeeper vs Blink

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 frontline employee apps page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
BlinkFirst choices, of fourteen modelsDeputy
Direct30
Paraphrase01
Comparative00
Budget-constrained00
Scale-constrained20
Negative001 against Deputy
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 Blink and Deputy 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
Blink Deputy first choice named as an alternative argued againstblank: not namedEach cell is one answer, Blink on the left and Deputy on the right.

The direct prompt

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

Blink first, Deputy not the choice

3 of 14 modelsDeputy was named in the answer but not as the choice, or not at all.
MiniMax M2.5Blink alternatives: Beekeeper, Connecteam, Staffbase
GPT-6 LunaBlink alternatives: Connecteam, Staffbase
Muse Glimmer 30BBeekeeper, Blink, LumApps alternatives: Connecteam, MangoApps, Staffbase

Neither was the first choice, one was named

10 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Connecteam alternatives: Blink, Speakap, Workvivo
GPT-5.4 miniWorkvivo alternatives: Blink, Staffbase, WorkJam
Gemini 3.5 FlashBeekeeper, Connecteam alternatives: Blink, Microsoft 365 for Frontline Workers, Yourco, Zello
Perplexity SonarConnecteam alternatives: Beekeeper, Blink, Microsoft 365 for Frontline Workers, Staffbase
Grok 4.20Connecteam alternatives: Beekeeper, Blink, Staffbase, WorkJam
Mistral SmallBeekeeper, Connecteam alternatives: Blink, Staffbase
DeepSeek V4 FlashConnecteam alternatives: Beekeeper, Blink
Qwen 3.7 FlashConnecteam alternatives: Blink, MangoApps, Microsoft 365 for Frontline Workers
Kimi K2Connecteam alternatives: Blink
GLM 4.7 FlashXBeekeeper alternatives: Blink, Connecteam, Staffbase

Neither was named

1 of 14 modelsThe answer made no first choice from these two in this category.
Llama 4 MaverickBeekeeper alternatives: Connecteam, Staffbase

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
Level: the same share of first choices.
Blink0%#4 of 11
Deputy0%#8 of 11
The full small business standing →
Mid-marketThe figures above
Blink leads by seven points.
Blink9%#3 of 13
Deputy2%#5 of 13
The full mid-market standing →
Enterprise
Blink leads by twenty points.
Blink20%#2 of 13
Deputy0%#– of 13
The full enterprise standing →

What the models said about Blink

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

“For most mid-market B2B companies, Blink offers the best balance of price transparency, ease of deployment, and functionality.” MiniMax M2.5 · direct prompt · first choice
“Blink / MangoApps: Strong all-in-one platforms (HR + Comms + Scheduling). Good for replacing multiple silos.” Qwen 3.7 Flash · scale prompt · first choice
“Beekeeper and Blink are the two names that dominate mid-market shortlists in 2026” Muse Glimmer 30B · direct prompt · first choice

What the models said about Deputy

No label in this category carried a quote.

Also compared
Connecteam vs BlinkConnecteam vs DeputyBeekeeper vs BlinkBeekeeper vs DeputyBlink vs PebbBlink vs MangoAppsBlink vs WorkvivoPebb vs DeputyDeputy vs MangoAppsDeputy vs WorkvivoAll twenty-one head-to-head pages and the full frontline employee apps standing

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.