LearnUpon vs LearnWorlds
Five of fourteen models named LearnUpon first on the direct prompt; zero named LearnWorlds. LearnUpon was named by fourteen of the fourteen models and LearnWorlds by twelve and LearnUpon carries 39 labels and LearnWorlds 29, so the shares are not directly comparable.
Named in one category this edition.
Named in two categories 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 Customer education and LMS page.
By framing
LearnUponFirst choices, of fourteen modelsLearnWorlds
Across every category in the November 2026 Edition, LearnUpon and LearnWorlds were named in the same answer twenty-nine times, of the 94 answers naming LearnUpon and the 90 naming LearnWorlds. In those answers LearnWorlds took the first choice eight times and LearnUpon two.
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 4.20 | | | | | ||
| 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 | | | | |
LearnUpon LearnWorlds first choice named as an alternative argued againstblank: not namedEach cell is one answer, LearnUpon on the left and LearnWorlds on the right.The direct prompt
LearnUpon first, LearnWorlds not the choice
5 of 14 modelsLearnWorlds was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
8 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
1 of 14 modelsThe answer made no first choice from these two in this category.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
LearnWorlds29%#2 of 12LearnUpon2%#4 of 12LearnUpon20%#2 of 13LearnWorlds13%#4 of 13LearnUpon4%#8 of 10LearnWorlds0%#– of 10What the models said about LearnUpon
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Avoid (Enterprise-Only Pricing)” Kimi K2 · budget prompt · hard negative
“pricing is custom quote, so it's usually less attractive on a tight budget” GPT-5.4 mini · budget prompt · soft negative
“LearnUpon and Skilljar are highly recommended, with LearnUpon being the new leader in the GTM AI Recommendation Index since September 2026” Llama 4 Maverick · paraphrase prompt · first choice
“Dedicated Customer Education (CE) platforms like Absorb, LearnUpon, or Thinkific are built for external audiences.” Qwen 3.7 Flash · negative prompt · first choice
“I'd suggest starting with LearnUpon or TalentLMS for their balance of features, ease of use, and pricing.” MiniMax M2.5 · direct prompt · first choice
What the models said about LearnWorlds
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“surface those kinds of complaints for multiple tools, including LearnWorlds, DigitalChalk, and Continu” GPT-5.4 mini · negative prompt · soft negative
“Strong all-rounder for engaging, branded academies; good UX, interactive tools, e-commerce, and white-label. Often praised for customer training.” Grok 4.20 · scale prompt · first choice
“LearnWorlds starts at $24/mo, making it the most budget-friendly way to launch a branded academy” Claude Haiku 4.5 · budget prompt · first choice
“TalentLMS and LearnWorlds are the top recommendations for companies with limited budgets” Mistral Small · budget prompt · first choice
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.