# Boon Health vs BetterUp: which do AI models recommend for coaching platforms, September 2026

HR AI Recommendation Index, September 2026 Edition, Coaching platforms. Seven of twelve models named Boon Health first on the direct prompt; zero named BetterUp. Page: https://hr-ai-index.com/learning/coaching-platforms/boon-health-vs-betterup/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Boon Health | 22% | #2 of 10 | 7% | 30 | 11 of 12 |
| BetterUp | 2% | #7 of 10 | 55% | 38 | 11 of 12 |

## The direct prompt, model by model

- Perplexity Sonar: boon health first (first choices: Boon Health) (alternatives: BetterUp, CoachHub, Exec, Growthspace, Torch)
- DeepSeek V4 Flash: boon health first (first choices: Boon Health, Growthspace) (alternatives: CoachHub, Torch)
- Llama 4 Maverick: boon health first (first choices: Boon Health) (alternatives: Exec, Growthspace, Torch)
- Qwen 3.7 Flash: boon health first (first choices: Boon Health) (alternatives: Exec, Growthspace, Hone, Torch)
- Kimi K2: boon health first (first choices: Boon Health, Growthspace) (alternatives: CoachHub, Exec, Torch)
- GLM 4.7 FlashX: boon health first (first choices: Boon Health) (alternatives: CoachHub, Exec, Growthspace, Risely, Torch)
- MiniMax M2.5: boon health first (first choices: Boon Health, Growthspace) (alternatives: Exec, Lattice, Torch)
- GPT-5.4 mini: neither first, one named (first choices: Lattice) (alternatives: BetterUp, CoachHub, Growthspace, Torch)
- Gemini 3.5 Flash: neither first, one named (first choices: Exec, Growthspace) (alternatives: Boon Health, Torch)
- Grok 4.1 Fast: neither first, one named (first choices: Exec) (alternatives: Boon Health, Growthspace, Torch)
- Mistral Small: neither first, one named (first choices: Exec, Growthspace) (alternatives: Boon Health, Torch)
- Claude Haiku 4.5: neither named (first choices: Torch) (alternatives: Avoma)

## What the models said about Boon Health

- "Under ~50 employees: Boon, Risely (lightweight, AI) ... one built for startups may not scale to your needs.provided" (DeepSeek V4 Flash, scale prompt, soft negative)
- "it is less clearly the best fit for a typical mid-sized B2B buyer than Growthspace or CoachHub" (Perplexity Sonar, paraphrase prompt, soft negative)
- "1. Boon - a usage-based platform with a curated network of coaches and AI-driven change management and practice tools." (Llama 4 Maverick, direct prompt, first choice)
- "Boon is the strongest overall pick — its usage-based model means you only pay for coaching that actually happens" (DeepSeek V4 Flash, budget prompt, first choice)
- "If you want a single platform covering all levels and coaching formats with flexible, usage-based pricing: Boon." (GLM 4.7 FlashX, direct prompt, first choice)

## What the models said about BetterUp

- "Avoid per-seat enterprise platforms — BetterUp ($500–$2,000/seat/year) ... charge for every employee whether they use it or not" (DeepSeek V4 Flash, budget prompt, hard negative)
- "Avoid per-seat pricing from larger platforms (BetterUp, CoachHub) as they can be prohibitively expensive" (MiniMax M2.5, direct prompt, hard negative)
- "Avoid premium platforms like BetterUp ($300-$1,000+ per employee) unless absolutely necessary" (MiniMax M2.5, budget prompt, hard negative)
- "Better Alternatives: Use directories specifically designed for professional coaching, such as ICF Credential Registry, BetterUp, or iCoachWorld." (Qwen 3.7 Flash, negative prompt, first choice)
- "Choose BetterUp if: You need the largest coach network and want a proven, research-backed platform for broad workforce development." (Kimi K2, comparative prompt, first choice)
- "As the pioneer of the digital enterprise coaching space, BetterUp has the largest global network of vetted human coaches." (Gemini 3.5 Flash, comparative prompt, first choice)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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.