ManageEngine OpManager vs Zabbix
Seven of fourteen models named ManageEngine OpManager first on the direct prompt; zero named Zabbix. ManageEngine OpManager was named by fourteen of the fourteen models and Zabbix by thirteen and ManageEngine OpManager carries 35 labels and Zabbix 47, so the shares are not directly comparable.
Named in seven categories this edition.
Named in eight 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.
By framing
ManageEngine OpManagerFirst choices, of fourteen modelsZabbix
Across every category in the October 2026 Edition, ManageEngine OpManager and Zabbix were named in the same answer ninety-six times, of the 194 answers naming ManageEngine OpManager and the 309 naming Zabbix. In those answers Zabbix took the first choice thirteen times and ManageEngine OpManager thirteen.
Every model, every framing
| 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 | | | | |
ManageEngine OpManager Zabbix first choice named as an alternative argued againstblank: not namedEach cell is one answer, ManageEngine OpManager on the left and Zabbix on the right.The direct prompt
ManageEngine OpManager first, Zabbix an alternative
7 of 14 modelsZabbix was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
4 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
3 of 14 modelsThe answer made no first choice from these two in this category.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.
By buyer segment
Zabbix16%#2 of 12ManageEngine OpManager7%#4 of 12ManageEngine OpManager22%#2 of 12Zabbix17%#3 of 12ManageEngine OpManager4%#6 of 12Zabbix4%#8 of 12What the models said about ManageEngine OpManager
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“Be very cautious with ManageEngine; while feature-rich and cost-effective, their historical susceptibility to remote code execution requires rigorous security hardening” Qwen 3.7 Flash · negative prompt · soft negative
“Has experienced multiple vulnerabilities including authentication bypass, remote code execution, and cross-site scripting issues” MiniMax M2.5 · negative prompt · soft negative
“ManageEngine OpManager and Progress WhatsUp Gold frequently hit the sweet spot of features vs. cost” Kimi K2 · scale prompt · first choice
“The best network monitoring tool for a company with a limited budget is ManageEngine OpManager” Llama 4 Maverick · budget prompt · first choice
What the models said about Zabbix
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“open-source is usually a poor fit for mid-market teams” Gemini 3.5 Flash · direct prompt · hard negative
“For most small businesses, Zabbix and Nagios Core are the top free choices due to their comprehensive features and no-cost licensing.” Mistral Small · budget prompt · first choice
“I'd suggest starting with Zabbix or Netdata since they are open-source and don't have licensing costs” MiniMax M2.5 · 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.