Thirteen of fourteen models named KnowBe4 first on the direct prompt; three named Hoxhunt. Both were named by all fourteen models and KnowBe4 carries 69 labels and Hoxhunt 53, so the shares are not directly comparable.
Named in three 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 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 security awareness training page.
Across every category in the November 2026 Edition, KnowBe4 and Hoxhunt were named in the same answer 136 times, of the 253 answers naming KnowBe4 and the 136 naming Hoxhunt. In those answers Hoxhunt took the first choice seven times and KnowBe4 seventy-eight.
| 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. Six of seven in this category shown.
“KnowBe4: Often criticized for its large fee structure and repetitive content after extended use. Some users find the interface clunky compared to newer competitors.” Qwen 3.7 Flash · negative prompt · soft negative
“Cons and Cautions: Content can feel outdated, repetitive, or poorly produced... G2 reviews note persistent phishing simulation issues and diminishing returns over time.” Grok 4.20 · negative prompt · soft negative
“KnowBe4 is the market leader with the largest content library, but it receives significant criticism regarding business practices and content quality control.” Gemini 3.5 Flash · negative prompt · soft negative
“The market leader with the largest content library and feature set. Extremely robust, though can feel slightly complex to configure for smaller teams.” Gemini 3.5 Flash · scale prompt · first choice
“Choose KnowBe4 for the safest general-purpose choice, especially when a large catalog, phishing simulations, and compliance reporting matter.” Perplexity Sonar · comparative prompt · first choice
“KnowBe4's Foundation tier drops to $1.63 per user per month at 500+ seats on a 3-year term — both near the bottom of the published range.” Claude Haiku 4.5 · budget prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Generally highly rated for UX, but some smaller enterprises find their pricing models steep relative to their feature set.” Qwen 3.7 Flash · negative prompt · soft negative
“G2 users report clunky games, repetitive elements, and phishing simulations that feel unrealistic or buggy.” Grok 4.20 · negative prompt · soft negative
“Hoxhunt sits at the top of the range at $2.90-4.50 per user per month with a 500-seat minimum” Muse Glimmer 30B · budget prompt · soft negative
“Start with a free trial or demo of KnowBe4 and Hoxhunt. These two represent the best balance of content breadth and modern pedagogy” Qwen 3.7 Flash · direct prompt · first choice
“Choose Hoxhunt if your team is already compliant but still clicking too many links; it forces users to learn through doing.” Qwen 3.7 Flash · comparative prompt · first choice
“Hoxhunt and Wizer are often praised for gamified, engaging, and behavior-based training” Mistral Small · negative prompt · first choice
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.