Ten of fourteen models named ManageEngine Patch Manager Plus first on the direct prompt; four named NinjaOne Autonomous Patch Management. ManageEngine Patch Manager Plus was named by thirteen of the fourteen models and NinjaOne Autonomous Patch Management by fourteen and ManageEngine Patch Manager Plus carries 51 labels and NinjaOne Autonomous Patch Management 37, so the shares are not directly comparable.
Named in one category 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 patch management page.
Across every category in the October 2026 Edition, ManageEngine Patch Manager Plus and NinjaOne Autonomous Patch Management were named in the same answer seventy-two times, of the 131 answers naming ManageEngine Patch Manager Plus and the 121 naming NinjaOne Autonomous Patch Management. In those answers NinjaOne Autonomous Patch Management took the first choice twenty times and ManageEngine Patch Manager Plus nine.
| 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.
“vendors like ManageEngine and Qualys publish their own security advisories, which is normal, but it also means the patching platform itself becomes part of your attack surface” GPT-5.4 mini · negative prompt · soft negative
“The issues are real but not universal — evaluate against your environment size and complexity.” DeepSeek V4 Flash · negative prompt · soft negative
“You can use them (they are functional), but audit their changelogs carefully.” Qwen 3.7 Flash · negative prompt · soft negative
“ManageEngine Patch Manager Plus: It covers Windows, macOS, and Linux OS patching alongside third-party application updates for 850+ applications.” Llama 4 Maverick · paraphrase prompt · first choice
“For third-party patching: ManageEngine Patch Manager Plus. Top pick for mid-sized businesses due to its balance of features, cost, and ease” Grok 4.1 Fast · paraphrase prompt · first choice
“ManageEngine Patch Manager Plus gives you the widest third-party catalogue and policy-driven automation with a low entry cost.” Muse Glimmer 30B · paraphrase 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.
“only if you are also paying for broader RMM/IT management features, since their pricing model is aimed more at bundled platform use” Perplexity Sonar · budget prompt · soft negative
“reviews highlight frequent patch failures without clear root-cause diagnostics, limited Mac/Linux support” Grok 4.1 Fast · negative prompt · soft negative
“NinjaOne (though NinjaOne is pricier, it is highly rated)” Qwen 3.7 Flash · budget prompt · soft negative
“Prioritize tools with strong mid-market fit (e.g., Automox for cloud simplicity, NinjaOne for RMM integration).” Grok 4.1 Fast · scale prompt · first choice
“Choose NinjaOne or Automox if you want strong automation and simpler cloud-managed patching.” GPT-5.4 mini · comparative prompt · first choice
“are often the safest all-round choices because they combine broad third-party coverage” GLM 4.7 FlashX · 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.