Seven of fourteen models named Absorb LMS first on the direct prompt; zero named Connecteam. Absorb LMS was named by fourteen of the fourteen models and Connecteam by ten and Absorb LMS carries 43 labels and Connecteam 10, so the shares are not directly comparable.
Named in five 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. Four of four in this category shown.
“far more affordable than enterprise options like Docebo or Absorb” Grok 4.20 · budget prompt · soft negative
“Absorb LMS has no public pricing and a steep learning curve” Claude Haiku 4.5 · negative prompt · soft negative
“Choose Absorb LMS if you want mid-market scale, AI personalization and stronger reporting/branding for both employees and external audiences.” Muse Glimmer 30B · paraphrase prompt · first choice
“If I had to recommend one based on overwhelming consensus for mid-market B2B companies, it would be [Absorb LMS]” DeepSeek V4 Flash · direct 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.