# Spring Health vs Headspace: which do AI models recommend for employee wellbeing, October 2026

HR AI Recommendation Index, October 2026 Edition, Employee wellbeing and mental health. One of fourteen models named Spring Health first on the direct prompt; zero named Headspace. Page: https://hr-ai-index.com/experience/employee-wellbeing-and-mental-health/spring-health-vs-headspace/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Spring Health | 13% | #2 of 13 | 0% | 29 | 12 of 14 |
| Headspace | 2% | #8 of 13 | 24% | 29 | 14 of 14 |

## The direct prompt, model by model

- Mistral Small: spring health first (first choices: Spring Health) (alternatives: Limeade, Wellable)
- Perplexity Sonar: neither first, one named (first choices: Wellable) (alternatives: Limeade, Spring Health, Vantage Fit, WorkTango, Workhuman)
- DeepSeek V4 Flash: neither first, one named (first choices: Wellable) (alternatives: Spring Health, Vantage Fit, WellRight, Wellness360, Woliba)
- Qwen 3.7 Flash: neither first, one named (first choices: Modern Health) (alternatives: Calm Health, Headspace, Spring Health, Wellhub)
- Kimi K2: neither first, one named (first choices: Wellable) (alternatives: Modern Health, Spring Health)
- GLM 4.7 FlashX: neither first, one named (first choices: Vantage Fit, Wellable) (alternatives: CoreHealth, Limeade, Spring Health, Wellness360)
- MiniMax M2.5: neither first, one named (first choices: Limeade, Personify Health) (alternatives: Headspace, Spring Health, Wellable)
- GPT-6 Luna: neither first, one named (first choices: Wellable) (alternatives: Spring Health, WellRight, Wellhub)
- Muse Glimmer 30B: neither first, one named (first choices: Wellable) (alternatives: Limeade, Spring Health, Vantage Fit, Wellness360)
- Claude Haiku 4.5: neither named (first choices: Wellable) (alternatives: Terryberry, Woliba)
- GPT-5.4 mini: neither named (first choices: Reward Gateway) (alternatives: GoVida, Wellable)
- Gemini 3.5 Flash: neither named (first choices: YuLife) (alternatives: Awardco, Reward Gateway, Well-being, Wellable, Wellhub, Wellness Coach)
- Grok 4.1 Fast: neither named (first choices: Wellable) (alternatives: Vantage Fit, WellRight, Woliba)
- Llama 4 Maverick: neither named (first choices: Wellable) (alternatives: Corporate Wellness Software, Terryberry)

## What the models said about Spring Health

- "a Modern Health / Lyra / Spring Health style platform with EAP integration gives the best balance" (Muse Glimmer 30B, paraphrase prompt, first choice)
- "For mid-market B2B companies, Spring Health stands out for clinical mental health support" (Mistral Small, direct prompt, first choice)
- "such as those offered by providers like *Lyra*, *Modern Health*, or *Spring Health*" (Qwen 3.7 Flash, paraphrase prompt, first choice)

## What the models said about Headspace

- "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)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.