Four of fourteen models named BlueCat Integrity first on the direct prompt; two named Infoblox Universal DDI. BlueCat Integrity was named by thirteen of the fourteen models and Infoblox Universal DDI by fourteen and BlueCat Integrity carries 49 labels and Infoblox Universal DDI 55, so the shares are not directly comparable.
Named in two 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 DDI and IP address management page.
Across every category in the November 2026 Edition, BlueCat Integrity and Infoblox Universal DDI were named in the same answer 133 times, of the 174 answers naming BlueCat Integrity and the 161 naming Infoblox Universal DDI. In those answers Infoblox Universal DDI took the first choice thirty-two times and BlueCat Integrity seven.
| 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 eight in this category shown.
“AI models suggest avoiding it unless necessary, as it may not be suitable for all business sizes.” Mistral Small · negative prompt · hard negative
“powerful but costly and likely overkill for limited budgets” Kimi K2 · budget prompt · hard negative
“BlueCat, for example, describes Micetro as an overlay and Integrity as a full-stack platform; those are different approaches with different tradeoffs.” GPT-6 Luna · negative prompt · soft negative
“Choose BlueCat (specifically Micetro) if you want a modern, cloud-ready platform that scales easily and offers high value per dollar—often the preferred choice for growing mid-market B2B entities.” Qwen 3.7 Flash · direct prompt · first choice
“BlueCat (specifically BlueCat Integrity or their Address Manager with cloud options) is often the best overall DDI platform for a mid-market B2B company.” Grok 4.20 · direct prompt · first choice
“BlueCat: Excels in stability, open standards, visibility, and centralized management. Often praised for security and ease in peer reviews.” Grok 4.20 · scale 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.
“Some AI models explicitly recommend avoiding Infoblox unless you have a larger budget.” Mistral Small · negative prompt · hard negative
“Some AI models recommend avoiding Infoblox unless you have a larger budget.” Llama 4 Maverick · negative prompt · hard negative
“What to Avoid on a Budget - Infoblox: The market leader but expensive.” Kimi K2 · budget prompt · hard negative
“Strongest reputation in large enterprise / service provider DDI... "largest, most mature enterprise DDI platform, increasingly security + AI + cloud-managed"” GPT-5.4 mini · comparative prompt · first choice
“Infoblox DDI is considered a market leader with comprehensive DDI features and strong security integrations, making it suitable for large enterprises.” Llama 4 Maverick · comparative prompt · first choice
“I'd recommend Infoblox if you need a serious, long-term IPAM platform that can grow with hybrid or multi-cloud networking.” GPT-5.4 mini · paraphrase 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.