Two of fourteen models named Paessler PRTG Network Monitor first on the direct prompt; zero named SolarWinds Network Performance Monitor. Paessler PRTG Network Monitor was named by fourteen of the fourteen models and SolarWinds Network Performance Monitor by thirteen and Paessler PRTG Network Monitor carries 56 labels and SolarWinds Network Performance Monitor 35, so the shares are not directly comparable.
Named in two categories this edition.
Named in three 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 network monitoring and management page.
Across every category in the November 2026 Edition, Paessler PRTG Network Monitor and SolarWinds Network Performance Monitor were named in the same answer seventy-three times, of the 186 answers naming Paessler PRTG Network Monitor and the 105 naming SolarWinds Network Performance Monitor. In those answers SolarWinds Network Performance Monitor took the first choice nine times and Paessler PRTG Network Monitor twenty.
| 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.
“Reddit community sentiment: Strongly discouraged by networking professionals” Qwen 3.7 Flash · negative prompt · hard negative
“PRTG, Auvik, WhatsUp Gold, and Kentik are examples of products whose pricing units should be modeled carefully before purchase.” Perplexity Sonar · negative prompt · soft negative
“While powerful, it has received a "Fair" rating (2.5/5) with reservations. Its sensor-based licensing can become expensive” Mistral Small · negative prompt · soft negative
“PRTG Network Monitor: Very popular for mid-sized companies. Easy to set up, sensor-based pricing (be careful with sensor counts), good all-in-one feel.” Qwen 3.7 Flash · scale prompt · first choice
“For most mid-market B2B companies, Paessler PRTG Network Monitor is the best default choice.” Perplexity Sonar · direct prompt · first choice
“Best for: teams that want an easy-to-use, all-in-one, sensor-based monitoring platform.” GPT-5.4 mini · comparative 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.
“Many organizations banned it entirely due to security concerns” Qwen 3.7 Flash · negative prompt · hard negative
“The 2020 SUNBURST supply-chain attack ... eroded trust. Ongoing vulnerabilities in the broader suite; use only with strict segmentation.” Grok 4.20 · negative prompt · soft negative
“Caution is advised due to potential vulnerabilities and the need for rigorous security audits before deployment.” Mistral Small · negative prompt · soft negative
“The industry standard for pure network monitoring... extremely powerful packet-level troubleshooting; excellent reporting.” Qwen 3.7 Flash · comparative prompt · first choice
“SolarWinds NPM | Best Overall | Comprehensive network performance monitoring, strong alerting, intuitive interface” MiniMax M2.5 · comparative prompt · first choice
“For large, on‑prem networks with complex SNMP/flow needs: SolarWinds NPM or ManageEngine OpManager.” GLM 4.7 FlashX · comparative 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.