# LearnUpon vs Thinkific: which do AI models recommend for customer education, October 2026

GTM AI Recommendation Index, October 2026 Edition, Customer education and LMS. Nine of fourteen models named LearnUpon first on the direct prompt; zero named Thinkific. Page: https://gtm-ai-index.com/customer/customer-education-and-lms/learnupon-vs-thinkific/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| LearnUpon | 26% | #1 of 11 | 8% | 37 | 13 of 14 |
| Thinkific | 6% | #5 of 11 | 27% | 22 | 10 of 14 |

## The direct prompt, model by model

- GPT-5.4 mini: learnupon first (first choices: LearnUpon) (alternatives: Thought Industries)
- Perplexity Sonar: learnupon first (first choices: LearnUpon) (alternatives: Gainsight Customer Education, WorkRamp)
- Grok 4.1 Fast: learnupon first (first choices: Gainsight Customer Education, LearnUpon) (alternatives: Skilljar, TalentLMS, WorkRamp)
- Mistral Small: learnupon first (first choices: LearnUpon) (alternatives: Absorb LMS, Gainsight Customer Education, TalentLMS)
- DeepSeek V4 Flash: learnupon first (first choices: LearnUpon) (alternatives: Gainsight Customer Education, Skilljar, Thought Industries)
- Qwen 3.7 Flash: learnupon first (first choices: LearnUpon) (alternatives: Absorb LMS, Disco, Docebo, TalentLMS)
- GLM 4.7 FlashX: learnupon first (first choices: LearnUpon) (alternatives: Skilljar, TalentLMS)
- MiniMax M2.5: learnupon first (first choices: LearnUpon) (alternatives: Docebo, Gainsight Customer Education, TalentLMS)
- Muse Glimmer 30B: learnupon first (first choices: LearnUpon, Skilljar) (alternatives: Absorb LMS, TalentLMS, WorkRamp)
- Claude Haiku 4.5: neither first, one named (first choices: Skilljar) (alternatives: LearnUpon, Thought Industries, WorkRamp)
- Gemini 3.5 Flash: neither first, one named (first choices: Skilljar) (alternatives: Absorb LMS, Gainsight Customer Education, LearnUpon, WorkRamp)
- Kimi K2: neither first, one named (first choices: Skilljar) (alternatives: LearnUpon, WorkRamp)
- GPT-6 Luna: neither first, one named (first choices: Skilljar) (alternatives: Docebo, LearnUpon, Thought Industries)
- Llama 4 Maverick: neither named

## What the models said about LearnUpon

- "Other notable (but pricier) options to avoid for now ... costly for small teams" (GLM 4.7 FlashX, budget prompt, hard negative)
- "Avoid enterprise platforms (Skilljar, Docebo, Thought Industries, LearnUpon)" (DeepSeek V4 Flash, budget prompt, hard negative)
- "lacks customization features and flexible learning paths" (Claude Haiku 4.5, negative prompt, soft negative)
- "Pure customer academy with certifications, cohort management and CSM integrations → Skilljar or LearnUpon" (Muse Glimmer 30B, direct prompt, first choice)
- "### 1. LearnUpon (Mid-Market Specialist) ... Specifically designed for mid-market B2B SaaS companies" (GLM 4.7 FlashX, paraphrase prompt, first choice)
- "Absorb LMS and LearnUpon are generally the most recommended platforms for customer training." (Qwen 3.7 Flash, paraphrase prompt, first choice)

## What the models said about Thinkific

- "They are generally not a clean fit for branded academies with formal certification tracking, partner onboarding, SSO provisioning, and compliance reporting." (Muse Glimmer 30B, negative prompt, soft negative)
- "though it may have limitations in terms of separate environments for different user groups" (Mistral Small, paraphrase prompt, soft negative)
- "lower-tier SMB options (like TalentLMS or Thinkific) may trigger security red flags" (Gemini 3.5 Flash, direct prompt, soft negative)
- "I'd suggest starting with Thinkific Plus (if you want simplicity and good value) or Skilljar" (MiniMax M2.5, paraphrase prompt, first choice)
- "Start with Thinkific Free or Teachable Free" (MiniMax M2.5, budget prompt, first choice)
- "Thinkific (Best Overall for Flat-Rate Scaling)" (Gemini 3.5 Flash, budget prompt, first choice)

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.