Three of twelve models named Absorb LMS first on the direct prompt; zero named EasyLlama. Absorb LMS was named by eleven of the twelve models and EasyLlama by ten and Absorb LMS carries 17 labels and EasyLlama 29, so the shares are not directly comparable.
Named in six categories this edition.
Named in one category 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 compliance training 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.
No label in this category carried a quote.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“a comprehensive platform with state-specific training, although it may be more expensive” Llama 4 Maverick · budget prompt · soft negative
“EasyLlama is one of the most popular platforms for mid-sized companies because it is incredibly fast to deploy, affordable, and highly automated.” Gemini 3.5 Flash · paraphrase prompt · first choice
“Top Pick for Ease of Use & Value: EasyLlama” Kimi K2 · paraphrase prompt · first choice
“EasyLlama (per‑seat pricing) or Mitratech Syntrio are excellent low‑cost choices.” GLM 4.7 FlashX · budget prompt · alternative
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.