Two of fourteen models named Docebo first on the direct prompt; zero named Connecteam. Docebo was named by fourteen of the fourteen models and Connecteam by ten and Docebo carries 49 labels and Connecteam 10, so the shares are not directly comparable.
Named in nine categories this edition.
Named in eighteen 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 management systems 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 4.20 | ||||||
| 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 four in this category shown.
“Best Overall for Scalability & AI: Docebo ... consistently ranks as the top choice for mid-market to enterprise organizations” Qwen 3.7 Flash · direct prompt · first choice
“Known for its AI-driven content delivery and extensive features, making it a top choice for employee training and upskilling.” Mistral Small · comparative prompt · first choice
“Best AI-powered LMS. Heavily invested in AI features for content creation, personalization, and admin automation.” DeepSeek V4 Flash · comparative prompt · first choice
No label in this category carried a quote.
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.