Eight of twelve models named Learn Amp first on the direct prompt; zero named TalentLMS. Learn Amp was named by ten of the twelve models and TalentLMS by ten and Learn Amp carries 24 labels and TalentLMS 10, so the shares are not directly comparable.
Named in two categories this edition.
Named in seven 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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Juno LXP / Learn Amp (verify scalability)” Kimi K2 · negative prompt · soft negative
“Best all-in-one mid-market learning platform. This is frequently recommended as the most balanced option for mid-market organizations.” Claude Haiku 4.5 · direct prompt · first choice
“1 | Learn Amp | Built specifically as an all‑in‑one mid‑market platform; strong on engagement, social learning, and analytics.” GLM 4.7 FlashX · direct prompt · first choice
“1. Learn Amp — *Best all-in-one for mid-market* ... Frequently ranked the top mid-market-specific platform” 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.