TalentLMS vs Docebo
One of fourteen models named TalentLMS first on the direct prompt; zero named Docebo. TalentLMS was named by twelve of the fourteen models and Docebo by thirteen and TalentLMS carries 26 labels and Docebo 46, so the shares are not directly comparable.
Named in eight 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.
By framing
TalentLMSFirst choices, of fourteen modelsDocebo
Across every category in the November 2026 Edition, TalentLMS and Docebo were named in the same answer 199 times, of the 456 answers naming TalentLMS and the 407 naming Docebo. In those answers Docebo took the first choice twenty-seven times and TalentLMS thirty-seven.
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 | | | |
TalentLMS Docebo first choice named as an alternative argued againstblank: not namedEach cell is one answer, TalentLMS on the left and Docebo on the right.The direct prompt
TalentLMS first, Docebo not the choice
1 of 14 modelsDocebo was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
12 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
TalentLMS34%#1 of 13Docebo2%#7 of 13TalentLMS19%#2 of 12Docebo2%#7 of 12Docebo39%#1 of 11TalentLMS0%#– of 11What the models said about TalentLMS
No label in this category carried a quote.
What the models said about Docebo
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.