Three of fourteen models named Absorb LMS first on the direct prompt; zero named Docebo. Absorb LMS was named by fourteen of the fourteen models and Docebo by thirteen and Absorb LMS carries 34 labels and Docebo 46, so the shares are not directly comparable.
Named in five categories this edition.
Named in nine 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 learning experience platforms page.
Across every category in the November 2026 Edition, Absorb LMS and Docebo were named in the same answer 214 times, of the 257 answers naming Absorb LMS and the 407 naming Docebo. In those answers Docebo took the first choice fifty times and Absorb LMS nineteen.
| 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 |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“significantly cheaper than enterprise options like Docebo or Absorb LMS” Grok 4.20 · budget prompt · soft negative
“Absorb LMS | Compliance features | May be over-featured” Kimi K2 · scale prompt · soft negative
“The Best All-Rounder: Absorb LMS ... widely considered the "Goldilocks" option for the mid-market B2B sector.” Qwen 3.7 Flash · direct prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Some enterprise-focused LXPs (like Degreed, Docebo, and Learnerbly) are only practical for very large organizations (250+ learners) and are not cost-effective for smaller teams.” Mistral Small · negative prompt · soft negative
“may be impractical when you have fewer than roughly 100 learners because pricing and implementation can be disproportionate” Perplexity Sonar · negative prompt · soft negative
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.