Two of twelve models named Absorb LMS first on the direct prompt; zero named Litmos. Absorb LMS was named by eleven of the twelve models and Litmos by eight and Absorb LMS carries 22 labels and Litmos 10, so the shares are not directly comparable.
Named in six categories 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 twelve 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.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.1 Fast | ||||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | ||||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 |
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.
No label in this category carried a quote.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“usually considered more LMS-oriented, but often part of LXP evaluations depending on the use case” GPT-5.4 mini · comparative prompt · soft negative
“Frequently described as "dated and clunky" with limited customization, weak reporting/analytics” Kimi K2 · negative prompt · soft negative
“Litmos and Docebo are often highlighted for their scalability, ease of integration, and comprehensive feature sets” Mistral Small · paraphrase 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.