Three of twelve models named New Relic first on the direct prompt; zero named Zabbix. Both were named by all twelve models and New Relic carries 48 labels and Zabbix 44, so the shares are not directly comparable.
Named in five 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 twelve 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 infrastructure monitoring page.
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. One of one in this category shown.
“If your B2B product is a modern SaaS application deployed on public cloud infrastructure ... New Relic is highly recommended.” Gemini 3.5 Flash · direct 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.
“Who to avoid: Older, static monitoring platforms (like early versions of Nagios or basic configurations of Zabbix)” Qwen 3.7 Flash · negative prompt · hard negative
“Why avoid: While powerful, it has a notoriously steep learning curve.” GLM 4.7 FlashX · negative prompt · hard negative
“don't adopt Zabbix unless you have dedicated monitoring engineers” Kimi K2 · negative prompt · hard negative
“Choose Zabbix if you have infrastructure-heavy or hybrid estates where budget and data control matter” Kimi K2 · comparative prompt · first choice
“The best infrastructure monitoring tool for a company with a limited budget is likely to be Zabbix” Llama 4 Maverick · budget prompt · first choice
“If you have engineering time but no budget, Zabbix is the most comprehensive free option.” Mistral Small · budget prompt · first choice
Comparisons are drawn for the top three products in each category. The output is the models' output; nothing here is a recommendation by the index.