One of fourteen models named Easygenerator first on the direct prompt; zero named TalentLMS. Easygenerator was named by thirteen of the fourteen models and TalentLMS by ten and Easygenerator carries 35 labels and TalentLMS 10, so the shares are not directly comparable.
Named in one category this edition.
Named in eight 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 course authoring tools 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 five in this category shown.
“Avoid Articulate 360 ($1,449+ per user/year) and Easygenerator ($1,399+/year)” Kimi K2 · budget prompt · hard negative
“Easygenerator is the best low‑cost paid tool” GLM 4.7 FlashX · budget prompt · first choice
“I'd suggest starting with Easygenerator” MiniMax M2.5 · direct prompt · first choice
“Choose Easygenerator if saving authoring time and enabling nontechnical employees to build courses is worth paying roughly $1,500 annually.” Perplexity Sonar · budget prompt · alternative
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.