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Employee wellbeing and mental health · November 2026 Edition

Wellhub vs Wellness Coach

One of fourteen models named Wellhub first on the direct prompt; two named Wellness Coach. Wellhub was named by thirteen of the fourteen models and Wellness Coach by eight and Wellhub carries 21 labels and Wellness Coach 11, so the shares are not directly comparable.

Wellhub

accepted challenger

Named in two categories this edition.

Wellness Coach

accepted challenger

Named in one category this edition.

First-choice share4%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#8A position in a field of 13; printed, not drawn.
Labels2111A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Wellhub reading right to left. Rank and label count are printed, not drawn.Wellable was named alongside these two in twelve of the fourteen direct answers. Wellable vs Wellhub · Wellable vs Wellness Coach · Vantage Fit vs Wellhub

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 wellbeing and mental health page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
WellhubFirst choices, of fourteen modelsWellness Coach
Direct121 against Wellhub
Paraphrase00
Comparative10
Budget-constrained10
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 Wellhub and Wellness Coach 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
Wellhub Wellness Coach first choice named as an alternative argued againstblank: not namedEach cell is one answer, Wellhub on the left and Wellness Coach on the right.

The direct prompt

The plain question, one answer per model, grouped by where Wellhub and Wellness Coach stood in it.

Wellhub first, Wellness Coach not the choice

1 of 14 modelsWellness Coach was named in the answer but not as the choice, or not at all.
GPT-6 LunaWellhub alternatives: Modern Health, Spring Health

Wellness Coach first, Wellhub not the choice

2 of 14 modelsWellhub was named in the answer but not as the choice, or not at all.
Mistral SmallWellness Coach, Woliba alternatives: Vantage Fit, Wellable
GLM 4.7 FlashXWellness Coach, Woliba alternatives: Vantage Fit, Wellable

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashWellable alternatives: Lyra Health, Modern Health, Spring Health, Wellhub, Woliba, YuLife
DeepSeek V4 FlashWellable alternatives: Vantage Fit, Wellness Coach, Woliba
Muse Glimmer 30BWellable alternatives: Navigate Wellbeing, Vantage Fit, Wellness Coach, Woliba

Neither was named

8 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice
GPT-5.4 miniWellable alternatives: Perkbox, Vantage Circle
Perplexity SonarWellable alternatives: Personify Health, Unmind, Wellness360, Woliba
Grok 4.20Wellable alternatives: CoreHealth, Terryberry, Woliba
Llama 4 MaverickWellable alternatives: Terryberry, Vantage Fit, Woliba
Qwen 3.7 FlashViva Benefits alternatives: Headspace for Employers, Lyra Health, Modern Health, Wellable
Kimi K2Wellable, Woliba alternatives: Vantage Fit
MiniMax M2.5Wellable, Woliba alternatives: Nectar, Vantage Fit

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
Wellness Coach leads by thirteen points.
Wellness Coach16%#3 of 13
Wellhub3%#8 of 13
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Wellhub4%#6 of 13
Wellness Coach4%#8 of 13
The full mid-market standing →
Enterprise
The order flips: Wellhub leads at enterprise.
Wellhub15%#3 of 13
Wellness Coach2%#– of 13
The full enterprise standing →

What the models said about Wellhub

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

“often positioned as a broader corporate wellbeing platform rather than a full wellness programme builder” Muse Glimmer 30B · direct prompt · soft negative
“Wellhub provides gym access starting at just $1/employee/month” MiniMax M2.5 · budget prompt · first choice
“strongest for broad, lifestyle-style wellbeing” GPT-5.4 mini · comparative prompt · first choice
“My default pick is Wellhub” GPT-6 Luna · direct prompt · first choice

What the models said about Wellness Coach

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

“The top contenders based on mid-market requirements are Woliba and Wellness Coach for comprehensive wellness programs” GLM 4.7 FlashX · direct prompt · first choice
“Wellness Coach and Woliba stand out as the top choices” Mistral Small · direct prompt · first choice
“If your team lives in Teams/Slack/Zoom: Choose Wellness Coach — unmatched for workplace integrations.” DeepSeek V4 Flash · direct 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.