One of fourteen models named Tenable Vulnerability Management first on the direct prompt; zero named Tenable Nessus. Tenable Vulnerability Management was named by fourteen of the fourteen models and Tenable Nessus by eleven and Tenable Vulnerability Management carries 61 labels and Tenable Nessus 23, so the shares are not directly comparable.
Named in seven categories this edition.
Named in four 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 vulnerability management platforms page.
Across every category in the October 2026 Edition, Tenable Vulnerability Management and Tenable Nessus were named in the same answer twenty-nine times, of the 171 answers naming Tenable Vulnerability Management and the 83 naming Tenable Nessus. In those answers Tenable Nessus took the first choice three times and Tenable Vulnerability Management 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 4.1 Fast | ||||||
| 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.
“Full‑featured enterprise tools (Rapid7, Qualys, Tenable.io) without a dedicated security team” GLM 4.7 FlashX · budget prompt · hard negative
“Standard enterprise scanners (like Tenable or Qualys) are incredibly powerful, but their interfaces and configurations are built for dedicated, full-time security operations centers” Gemini 3.5 Flash · paraphrase prompt · soft negative
“Tenable is known for being expensive. It is also highly complex; without a dedicated team to configure the workflows, the platform can become a repository of data” GLM 4.7 FlashX · negative prompt · soft negative
“Also a Leader in the 2025 Gartner MQ, positioned highest in Ability to Execute and furthest for Completeness of Vision.” Grok 4.1 Fast · comparative prompt · first choice
“If you need the absolute deepest vulnerability coverage across the broadest set of environments ... → Tenable One” DeepSeek V4 Flash · comparative prompt · first choice
“The best vulnerability management platform for a company with a limited budget is Tenable Vulnerability Management” Llama 4 Maverick · budget prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of six in this category shown.
“Avoid trying to scrape out a "Free" version of Nessus; Tenable discontinued its unlimited community scanner” Qwen 3.7 Flash · budget prompt · hard negative
“Avoid Standalone "Point-in-Time" Scanners for Enterprise VM ... Why to avoid them for enterprise VM” Gemini 3.5 Flash · negative prompt · hard negative
“scanners like older Nessus/OpenVAS versions criticized for inaccurate Windows scans or signature mismatches” Grok 4.1 Fast · negative prompt · soft negative
“the best starting point is Nessus Essentials (free) + a free vulnerability feed for on‑prem scanning” GLM 4.7 FlashX · budget prompt · first choice
“I'd recommend Tenable Nessus Professional as the starting point” Grok 4.1 Fast · paraphrase prompt · first choice
“useful for getting started with proven scanning technology, with the limitation of scan limits and lack of centralized reporting” Muse Glimmer 30B · budget prompt · alternative
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.