Wellable vs Headspace
Nine of fourteen models named Wellable first on the direct prompt; zero named Headspace. Both were named by all fourteen models and Wellable carries 33 labels and Headspace 29, so the shares are not directly comparable.
Named in two categories this edition.
Named in one category this edition.
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
WellableFirst choices, of fourteen modelsHeadspace
Across every category in the October 2026 Edition, Wellable and Headspace were named in the same answer forty-three times, of the 110 answers naming Wellable and the 87 naming Headspace. In those answers Headspace took the first choice one time and Wellable twelve.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 | | | | | |
Wellable Headspace first choice named as an alternative argued againstblank: not namedEach cell is one answer, Wellable on the left and Headspace on the right.The direct prompt
Wellable first, Headspace not the choice
9 of 14 modelsHeadspace was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.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
Wellable28%#1 of 11Headspace3%#6 of 11Wellable22%#1 of 13Headspace2%#8 of 13Wellable17%#2 of 11Headspace0%#11 of 11What the models said about Wellable
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Wellable — Best All-Around Platform ... Wellable and Vantage Fit often provide the best balance of features, flexibility, and cost” GLM 4.7 FlashX · direct prompt · first choice
“Wellable is the platform most consistently named as best for mid-market / mid-sized teams wanting a flexible, all-around wellness solution” Muse Glimmer 30B · direct prompt · first choice
“A popular mid-market corporate wellness solution engineered for flexible program administration and high employee usability” Claude Haiku 4.5 · direct prompt · first choice
What the models said about Headspace
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Headspace - Collects a wide range of personal information including health data, shares user data with third-party platforms for targeted advertising.” Llama 4 Maverick · negative prompt · hard negative
“Calm and Headspace: Mozilla *Privacy Not Included* warnings for data sharing and weak security.” Grok 4.1 Fast · negative prompt · hard negative
“Headspace — High Concern (Privacy Issues) ... flagged by Mozilla's Privacy Not Included report” DeepSeek V4 Flash · negative prompt · hard negative
“Primary recommendation: A digital mental‑health platform ... (Modern Health, Meditopa, Headspace for Work, etc.)” MiniMax M2.5 · paraphrase prompt · first choice
“Platforms with peer-reviewed clinical evidence (e.g., Headspace, Woebot have some RCT support)” Kimi K2 · negative prompt · alternative
“If you have a tight budget and just want to offer a generic perk: Choose Headspace/Calm.” Qwen 3.7 Flash · direct prompt · alternative
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.