Two of fourteen models named Wiz first on the direct prompt; four named Aikido Security. Wiz was named by fourteen of the fourteen models and Aikido Security by nine and Wiz carries 40 labels and Aikido Security 11, so the shares are not directly comparable.
Named in seventeen categories this edition.
Named in ten 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 container and kubernetes security page.
Across every category in the November 2026 Edition, Wiz and Aikido Security were named in the same answer 116 times, of the 854 answers naming Wiz and the 326 naming Aikido Security. In those answers Aikido Security took the first choice fifty-two times and Wiz fourteen.
| 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.
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. One of one in this category shown.
“The platform is used by over 50,000 organizations, with the sweet spot being startups and mid-market DevOps teams that want consolidated vulnerability management” Claude Haiku 4.5 · direct 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.