AI Indexes
HR AI Index
Index › Onboarding and employee experience › Employee wellbeing › YuMuuv vs Lyra Health
Employee wellbeing and mental health · October 2026 Edition

YuMuuv vs Lyra Health

Zero of fourteen models named YuMuuv first on the direct prompt; zero named Lyra Health. YuMuuv was named by ten of the fourteen models and Lyra Health by eleven and YuMuuv carries 12 labels and Lyra Health 17, so the shares are not directly comparable.

YuMuuv

accepted challenger

Named in one category this edition.

Lyra Health

accepted challenger

Named in one category this edition.

First-choice share11%9%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%6%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#6A position in a field of 13; printed, not drawn.
Labels1217A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, YuMuuv reading right to left. Rank and label count are printed, not drawn.Wellable was named alongside these two in thirteen of the fourteen direct answers. Wellable vs YuMuuv · Wellable vs Lyra Health · Spring Health vs YuMuuv

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.
YuMuuvFirst choices, of fourteen modelsLyra Health
Direct00
Paraphrase05
Comparative02
Budget-constrained60
Scale-constrained001 against Lyra Health
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 YuMuuv and Lyra Health stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 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
YuMuuv Lyra Health first choice named as an alternative argued againstblank: not namedEach cell is one answer, YuMuuv on the left and Lyra Health on the right.

The direct prompt

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

Neither was named

14 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Wellable alternatives: Terryberry, Woliba
GPT-5.4 miniReward Gateway alternatives: GoVida, Wellable
Gemini 3.5 FlashYuLife alternatives: Awardco, Reward Gateway, Well-being, Wellable, Wellhub, Wellness Coach
Perplexity SonarWellable alternatives: Limeade, Spring Health, Vantage Fit, WorkTango, Workhuman
Grok 4.1 FastWellable alternatives: Vantage Fit, WellRight, Woliba
Mistral SmallSpring Health alternatives: Limeade, Wellable
DeepSeek V4 FlashWellable alternatives: Spring Health, Vantage Fit, WellRight, Wellness360, Woliba
Llama 4 MaverickWellable alternatives: Corporate Wellness Software, Terryberry
Qwen 3.7 FlashModern Health alternatives: Calm Health, Headspace, Spring Health, Wellhub
Kimi K2Wellable alternatives: Modern Health, Spring Health
GLM 4.7 FlashXVantage Fit, Wellable alternatives: CoreHealth, Limeade, Spring Health, Wellness360
MiniMax M2.5Limeade, Personify Health alternatives: Headspace, Spring Health, Wellable
GPT-6 LunaWellable alternatives: Spring Health, WellRight, Wellhub
Muse Glimmer 30BWellable alternatives: Limeade, Spring Health, Vantage Fit, Wellness360

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
YuMuuv leads by eight points.
YuMuuv8%#3 of 11
Lyra Health0%#– of 11
The full small business standing →
Mid-marketThe figures above
YuMuuv leads by two points.
YuMuuv11%#4 of 13
Lyra Health9%#6 of 13
The full mid-market standing →
Enterprise
The order flips: Lyra Health leads at enterprise.
Lyra Health15%#3 of 11
YuMuuv0%#– of 11
The full enterprise standing →

What the models said about YuMuuv

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

“If your budget is very tight, I would start with YuMuuv because the cited pricing is the most budget-friendly” Perplexity Sonar · budget prompt · first choice
“For a tight budget, I'd start by pricing YuMuuv—if your main goal is to run employee wellness challenges.” GPT-6 Luna · budget prompt · first choice
“YuMuuv stands out as one of the best employee wellbeing platforms based on current reviews and pricing data” Grok 4.1 Fast · 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.

“Lyra (usually more expensive)” Qwen 3.7 Flash · scale prompt · soft negative
“Lyra Health: The leader in data-driven care... check if you are eligible for Lyra or Modern Health, as those provide higher-quality, insured care for free.” Qwen 3.7 Flash · comparative prompt · first choice
“a modern platform (such as those offered by providers like *Lyra*, *Modern Health*, or *Spring Health*) provides continuous access to licensed therapists” Qwen 3.7 Flash · paraphrase prompt · first choice
“Direct access to licensed therapists through platforms like Lyra Health, Spring Health, or Headspace Care” GLM 4.7 FlashX · 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.