One of fourteen models named LearnUpon first on the direct prompt; one named 360Learning. LearnUpon was named by thirteen of the fourteen models and 360Learning by twelve and LearnUpon carries 27 labels and 360Learning 26, so the shares are not directly comparable.
Named in seven categories 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 learning management systems page.
Across every category in the November 2026 Edition, LearnUpon and 360Learning were named in the same answer seventy-eight times, of the 133 answers naming LearnUpon and the 331 naming 360Learning. In those answers 360Learning took the first choice fifteen times and LearnUpon four.
| 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. Two of two in this category shown.
“Best Overall for External & Partner Training (Extended Enterprise): LearnUpon” Gemini 3.5 Flash · paraphrase prompt · first choice
“For most mid-market B2B companies, LearnUpon is the best overall choice” Perplexity Sonar · 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.