Eight of fourteen models named Rapid7 InsightVM first on the direct prompt; zero named Microsoft Defender Vulnerability Management. Rapid7 InsightVM was named by fourteen of the fourteen models and Microsoft Defender Vulnerability Management by thirteen and Rapid7 InsightVM carries 57 labels and Microsoft Defender Vulnerability Management 31, so the shares are not directly comparable.
Named in four 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 vulnerability management platforms page.
Across every category in the November 2026 Edition, Rapid7 InsightVM and Microsoft Defender Vulnerability Management were named in the same answer seventy-three times, of the 180 answers naming Rapid7 InsightVM and the 104 naming Microsoft Defender Vulnerability Management. In those answers Microsoft Defender Vulnerability Management took the first choice ten times and Rapid7 InsightVM thirteen.
| 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.
“Avoid for tight budgets: Enterprise-heavy tools like Rapid7 InsightVM” Grok 4.20 · budget prompt · hard negative
“users report high system resource utilization from the Insight Agent on older servers and aggressive upselling tactics” Gemini 3.5 Flash · negative prompt · soft negative
“reviews cite substantial initial configuration effort, a demanding console, and reporting limitations” Perplexity Sonar · negative prompt · soft negative
“Often cited as the best fit for organizations of ~500–2,000 employees; strong remediation workflow and good pricing.” DeepSeek V4 Flash · scale prompt · first choice
“For most mid-market B2B companies, Rapid7 InsightVM offers the best balance of features, usability, and value” GLM 4.7 FlashX · direct prompt · first choice
“Qualys VMDR or Rapid7 InsightVM are the strongest choices. They are purpose-built for this market segment.” MiniMax M2.5 · direct prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“outside a Microsoft-heavy environment: ... customization, reporting, and resource requirements can become problematic in mixed estates” Perplexity Sonar · negative prompt · soft negative
“as your sole tool in a diverse estate... check coverage for your exact OS versions, software and asset types, and licensing” GPT-6 Luna · negative prompt · soft negative
“Improving but has had documented inaccuracies... Good for Microsoft-centric setups but less mature for non-Windows assets.” Grok 4.20 · negative prompt · soft negative
“The best vulnerability management platform for a company with a limited budget is Microsoft Defender Vulnerability Management” Llama 4 Maverick · budget prompt · first choice
“This is often the top recommendation for small businesses because it is included for free with Microsoft 365 E5 licenses” Mistral Small · budget prompt · first choice
“The Best "Free" or Lowest-Cost Option ... this tool is often included for free” Qwen 3.7 Flash · budget 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.