Zero of fourteen models named TalentLMS first on the direct prompt; four named Absorb LMS. TalentLMS was named by fourteen of the fourteen models and Absorb LMS by eleven and TalentLMS carries 24 labels and Absorb LMS 17, so the shares are not directly comparable.
Named in seven categories this edition.
Named in six 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 compliance training page.
Across every category in the October 2026 Edition, TalentLMS and Absorb LMS were named in the same answer 111 times, of the 365 answers naming TalentLMS and the 239 naming Absorb LMS. In those answers Absorb LMS took the first choice ten times and TalentLMS twenty-two.
| 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 | ||||||
| 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. One of one in this category shown.
“TalentLMS is the most-cited affordable all-rounder for small teams."TalentLMS is the strongest all-round pick under forty people"” Muse Glimmer 30B · budget 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.