Security awareness training · November 2026 Edition
Wizer vs Hoxhunt
Zero of fourteen models named Wizer first on the direct prompt; three named Hoxhunt. Wizer was named by ten of the fourteen models and Hoxhunt by fourteen and Wizer carries 12 labels and Hoxhunt 53, so the shares are not directly comparable.
Named in two categories this edition.
Named in one category this edition.
First-choice share11%5%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%9%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#3A position in a field of 14; printed, not drawn.
Labels1253A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Wizer reading right to left. Rank and label count are printed, not drawn.KnowBe4 was named alongside these two in fourteen of the fourteen direct answers. KnowBe4 vs Wizer · KnowBe4 vs Hoxhunt · Wizer vs NINJIO
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.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
WizerFirst choices, of fourteen modelsHoxhunt
Direct03
Paraphrase00
Comparative01
Budget-constrained601 against Hoxhunt
Scale-constrained00
Negative114 against Hoxhunt
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Wizer and Hoxhunt stood in it.
| 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 | | | | |
Wizer Hoxhunt first choice named as an alternative argued againstblank: not namedEach cell is one answer, Wizer on the left and Hoxhunt on the right.The direct prompt
The plain question, one answer per model, grouped by where Wizer and Hoxhunt stood in it.
Hoxhunt first, Wizer not the choice
3 of 14 modelsWizer was named in the answer but not as the choice, or not at all.Mistral SmallHoxhunt, KnowBe4 alternatives: NINJIO
Qwen 3.7 FlashHoxhunt, KnowBe4 alternatives: MetaCompliance, RansomLeak
GLM 4.7 FlashXHoxhunt, KnowBe4 alternatives: MetaCompliance, SoSafe
Neither was the first choice, one was named
10 of 14 modelsThe answer put something else first and named one of the two as an alternative.GPT-5.4 miniKnowBe4 alternatives: Hoxhunt, Mimecast Engage, Proofpoint ZenGuide
Gemini 3.5 FlashKnowBe4 alternatives: Hoxhunt, Huntress Managed Security Awareness Training, NINJIO, SoSafe
Perplexity SonarKnowBe4 alternatives: Arctic Wolf Managed Security Awareness, Hoxhunt
Grok 4.20KnowBe4 alternatives: Hoxhunt, SoSafe
DeepSeek V4 FlashKnowBe4 alternatives: Hoxhunt, Huntress Managed Security Awareness Training, NINJIO, Wizer
Llama 4 MaverickRansomLeak alternatives: Hoxhunt, KnowBe4, Phished, SoSafe
Kimi K2KnowBe4 alternatives: Hoxhunt, Infosec IQ, Proofpoint ZenGuide, SoSafe
MiniMax M2.5KnowBe4 alternatives: Hoxhunt, SoSafe
GPT-6 LunaKnowBe4 alternatives: Hoxhunt, Microsoft Defender for Office 365 Attack Simulation Training, ZenGuide
Muse Glimmer 30BKnowBe4 alternatives: Hoxhunt, SoSafe
Neither was named
1 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5KnowBe4 alternatives: Infosec IQ, Proofpoint ZenGuide
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.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Mid-marketThe figures above
Enterprise
The order flips: Hoxhunt leads at enterprise.
Hoxhunt15%#2 of 12Wizer0%#– of 12What the models said about Wizer
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“Start with CanIPhish (free up to 10 users) or Wizer (free basic training) to test engagement” Kimi K2 · budget prompt · first choice
“Hoxhunt and Wizer are often praised for gamified, engaging, and behavior-based training” Mistral Small · negative prompt · first choice
“Wizer is the best starting point if its free tier meets your needs” Perplexity Sonar · budget prompt · first choice
What the models said about Hoxhunt
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
Also compared
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.