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Infrastructure monitoring · November 2026 Edition

Zabbix vs Site24x7

Zero of fourteen models named Zabbix first on the direct prompt; two named Site24x7. Zabbix was named by fourteen of the fourteen models and Site24x7 by twelve and Zabbix carries 53 labels and Site24x7 27, so the shares are not directly comparable.

Zabbix

accepted challenger

Named in eight categories this edition.

Site24x7

accepted challenger

Named in eleven categories this edition.

First-choice share23%12%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate25%4%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#3A position in a field of 16; printed, not drawn.
Labels5327A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Zabbix reading right to left. Rank and label count are printed, not drawn.Datadog was named alongside these two in nine of the fourteen direct answers. Datadog vs Zabbix · Datadog vs Site24x7 · Zabbix vs LogicMonitor

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 infrastructure monitoring page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
ZabbixFirst choices, of fourteen modelsSite24x7
Direct022 against Zabbix
Paraphrase042 against Zabbix
Comparative001 against Zabbix
Budget-constrained120
Scale-constrained003 against Zabbix
Negative005 against Zabbix · 1 against Site24x7
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the November 2026 Edition, Zabbix and Site24x7 were named in the same answer 106 times, of the 358 answers naming Zabbix and the 316 naming Site24x7. In those answers Site24x7 took the first choice twenty-six times and Zabbix five.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Zabbix and Site24x7 stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Zabbix Site24x7 first choice named as an alternative argued againstblank: not namedEach cell is one answer, Zabbix on the left and Site24x7 on the right.

The direct prompt

The plain question, one answer per model, grouped by where Zabbix and Site24x7 stood in it.

Site24x7 first, Zabbix an alternative

2 of 14 modelsZabbix was named in the answer but not as the choice, or not at all.
Kimi K2Site24x7 alternatives: Coralogix, Motadata ObserveOps, Paessler PRTG, Zabbix
MiniMax M2.5Site24x7 alternatives: Datadog, LogicMonitor, NinjaOne

Neither was the first choice, one was named

6 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Perplexity SonarLogicMonitor alternatives: Better Stack, Datadog, Netdata, Zabbix
Grok 4.20Datadog alternatives: Motadata ObserveOps, New Relic, NinjaOne, Prometheus + Grafana, Site24x7, Zabbix
Mistral SmallDatadog alternatives: Middleware.io, NinjaOne, Zabbix
DeepSeek V4 FlashLogicMonitor alternatives: New Relic, Paessler PRTG, Site24x7
Qwen 3.7 FlashDatadog alternatives: Checkmk, LogicMonitor, Site24x7, Zabbix
Muse Glimmer 30BDatadog, New Relic alternatives: LogicMonitor, ManageEngine OpManager, Prometheus + Grafana, Site24x7, Zabbix

Neither was named

6 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice
GPT-5.4 miniDatadog alternatives: Grafana, New Relic
Gemini 3.5 FlashGrafana alternatives: Better Stack, LogicMonitor, New Relic
Llama 4 Maverickno first choice
GLM 4.7 FlashXLogicMonitor alternatives: Datadog, New Relic
GPT-6 LunaDatadog alternatives: Dynatrace, Grafana, New Relic

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

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Site24x7 leads by twelve points.
Site24x727%#1 of 16
Zabbix15%#2 of 16
The full small business standing →
Mid-marketThe figures above
The order flips: Zabbix leads at mid-market.
Zabbix23%#2 of 16
Site24x712%#3 of 16
The full mid-market standing →
Enterprise
Zabbix leads by two points.
Zabbix2%#6 of 14
Site24x70%#– of 14
The full enterprise standing →

What the models said about Zabbix

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.

“Zabbix, Nagios, and comparable systems can be effective, but their technical and staffing costs may outweigh free or low license pricing as environments grow.” Perplexity Sonar · negative prompt · soft negative
“Interface can be confusing, jumps between config and viewing; at scale, you need significant tuning, proxy management, and history database optimization.” GLM 4.7 FlashX · negative prompt · soft negative
“starting with Zabbix, Prometheus + Grafana, or Checkmk Community gives you enterprise-grade visibility without any licensing cost” GLM 4.7 FlashX · budget prompt · first choice
“Zabbix – best all-in-one, no license budget ... It is the most complete free forever platform for full NOC visibility.” Muse Glimmer 30B · budget prompt · first choice
“For most small or budget-conscious companies monitoring servers, network devices, and services, I'd start with Zabbix.” GPT-6 Luna · budget prompt · first choice

What the models said about Site24x7

No label in this category carried a quote.

Also compared

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.