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Employee wellbeing and mental health · November 2026 Edition

Wellable vs Lyra Health

Nine of fourteen models named Wellable first on the direct prompt; zero named Lyra Health. Wellable was named by fourteen of the fourteen models and Lyra Health by nine and Wellable carries 40 labels and Lyra Health 15, so the shares are not directly comparable.

Wellable

accepted challenger

Named in four categories this edition.

Lyra Health

accepted challenger

Named in one category this edition.

First-choice share26%9%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#1#5A position in a field of 13; printed, not drawn.
Labels4015A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Wellable reading right to left. Rank and label count are printed, not drawn.Woliba was named alongside these two in ten of the fourteen direct answers. Wellable vs Vantage Fit · Wellable vs Spring Health · Wellable vs Woliba

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.
WellableFirst choices, of fourteen modelsLyra Health
Direct90
Paraphrase041 against Lyra Health
Comparative21
Budget-constrained30
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 Wellable and Lyra Health 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
Wellable Lyra Health first choice named as an alternative argued againstblank: not namedEach cell is one answer, Wellable on the left and Lyra Health on the right.

The direct prompt

The plain question, one answer per model, grouped by where Wellable and Lyra Health stood in it.

Wellable first, Lyra Health an alternative

9 of 14 modelsLyra Health was named in the answer but not as the choice, or not at all.
GPT-5.4 miniWellable alternatives: Perkbox, Vantage Circle
Gemini 3.5 FlashWellable alternatives: Lyra Health, Modern Health, Spring Health, Wellhub, Woliba, YuLife
Perplexity SonarWellable alternatives: Personify Health, Unmind, Wellness360, Woliba
Grok 4.20Wellable alternatives: CoreHealth, Terryberry, Woliba
DeepSeek V4 FlashWellable alternatives: Vantage Fit, Wellness Coach, Woliba
Llama 4 MaverickWellable alternatives: Terryberry, Vantage Fit, Woliba
Kimi K2Wellable, Woliba alternatives: Vantage Fit
MiniMax M2.5Wellable, Woliba alternatives: Nectar, Vantage Fit
Muse Glimmer 30BWellable alternatives: Navigate Wellbeing, Vantage Fit, Wellness Coach, Woliba

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.
Mistral SmallWellness Coach, Woliba alternatives: Vantage Fit, Wellable
Qwen 3.7 FlashViva Benefits alternatives: Headspace for Employers, Lyra Health, Modern Health, Wellable
GLM 4.7 FlashXWellness Coach, Woliba alternatives: Vantage Fit, Wellable

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice
GPT-6 LunaWellhub alternatives: Modern Health, Spring Health

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
Wellable leads by eighteen points.
Wellable18%#2 of 13
Lyra Health0%#13 of 13
The full small business standing →
Mid-marketThe figures above
Wellable leads by seventeen points.
Wellable26%#1 of 13
Lyra Health9%#5 of 13
The full mid-market standing →
Enterprise
Wellable leads by ten points.
Wellable17%#1 of 13
Lyra Health7%#5 of 13
The full enterprise standing →

What the models said about Wellable

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

“Start with Wellable or Woliba for the best balance of features, mid-market fit, and proven engagement.” Kimi K2 · direct prompt · first choice
“I'd recommend starting with Wellable or Woliba as they both offer the most comprehensive all-in-one solutions” MiniMax M2.5 · direct prompt · first choice
“For an all-round physical/gamified wellness solution on a budget, look at Wellable or Vantage Fit.” Gemini 3.5 Flash · budget prompt · first choice

What the models said about Lyra Health

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

“Excellent but enterprise-oriented; contract minimums and pricing skew larger than mid-market needs” DeepSeek V4 Flash · paraphrase prompt · soft negative
“Lyra Health ⭐ Top-rated (4.6/5) ... Highest-quality clinical network with measurable outcomes” DeepSeek V4 Flash · comparative prompt · first choice
“Start with a modern EAP (like Lyra, Spring Health, or a robust traditional provider)” Kimi K2 · paraphrase prompt · first choice
“Spring Health and Lyra Health are the strongest choices for mid-market employers” Claude Haiku 4.5 · 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.