Infrastructure monitoring for enterprise buyers
Asked as “infrastructure monitoring tool”, and as “server and cloud infrastructure monitoring solution”, on behalf of an enterprise B2B company. 51 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
45%
Clear leader
45Datadog25Dynatrace12Netdata18others
45% of first choices, clear leader.
Since October 2026▲+4Since October 2026: 41% → 45%, +4 points. Inside the 11-point floor: within noise.Datadog held the lead, +4 points on 41%, inside the 11-point floor.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
Small business
Site24x727%Contested▲+11Since October 2026: 16% → 27%, +11 points. Inside the 11-point floor: within noise.Standing →Mid-market
Datadog29%Contested▲+1Since October 2026: 28% → 29%, +1 point. Inside the 11-point floor: within noise.Standing →EnterpriseDatadog45%Clear leader▲+4Since October 2026: 41% → 45%, +4 points. Inside the 11-point floor: within noise.This page
Site24x727%Contested▲+11Since October 2026: 16% → 27%, +11 points. Inside the 11-point floor: within noise.Standing →Mid-marketDatadog29%Contested▲+1Since October 2026: 28% → 29%, +1 point. Inside the 11-point floor: within noise.Standing →EnterpriseDatadog45%Clear leader▲+4Since October 2026: 41% → 45%, +4 points. Inside the 11-point floor: within noise.This pageThe standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026
01Datadog45%34%74criticized default▲+4Since October 2026: 41% → 45%, +4 points. Inside the 11-point floor: within noise.41% → 45%
Datadog45%34%74criticized default▲+4Since October 2026: 41% → 45%, +4 points. Inside the 11-point floor: within noise.41% → 45%02
Dynatrace25%22%65accepted challenger▲+1Since October 2026: 24% → 25%, +1 point. Inside the 11-point floor: within noise.24% → 25%
Dynatrace25%22%65accepted challenger▲+1Since October 2026: 24% → 25%, +1 point. Inside the 11-point floor: within noise.24% → 25%03
Netdata12%7%15accepted challenger▼−2Since October 2026: 14% → 12%, −2 points. Inside the 11-point floor: within noise.14% → 12%
Netdata12%7%15accepted challenger▼−2Since October 2026: 14% → 12%, −2 points. Inside the 11-point floor: within noise.14% → 12%04
New Relic4%27%51criticized challenger▼−2Since October 2026: 6% → 4%, −2 points. Inside the 11-point floor: within noise.6% → 4%
New Relic4%27%51criticized challenger▼−2Since October 2026: 6% → 4%, −2 points. Inside the 11-point floor: within noise.6% → 4%05
LogicMonitor2%0%24accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%
LogicMonitor2%0%24accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%06
Zabbix2%31%42criticized challenger▼−2Since October 2026: 4% → 2%, −2 points. Inside the 11-point floor: within noise.4% → 2%
Zabbix2%31%42criticized challenger▼−2Since October 2026: 4% → 2%, −2 points. Inside the 11-point floor: within noise.4% → 2%07
Grafana2%21%24accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%
Grafana2%21%24accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%Show the seven products at 0%, ordered by negative rate
14
Nagios0%71%17criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Nagios0%71%17criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%12
SolarWinds Observability0%62%13criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
SolarWinds Observability0%62%13criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%13
Prometheus0%59%17criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Prometheus0%59%17criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%11
Splunk Observability Cloud0%27%11criticized challenger▼−4Since October 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise.4% → 0%
Splunk Observability Cloud0%27%11criticized challenger▼−4Since October 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise.4% → 0%09
Splunk0%22%23accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Splunk0%22%23accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%08
Prometheus + Grafana0%18%22accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Prometheus + Grafana0%18%22accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%10
Motadata ObserveOps0%0%10accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Motadata ObserveOps0%0%10accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not enterprise.
All twenty-eight head-to-head pages: the top eight products, each against each
Datadog vs GrafanaDatadog vs New RelicDatadog vs Prometheus + GrafanaDatadog vs PrometheusZabbix vs Site24x7Zabbix vs LogicMonitorZabbix vs GrafanaZabbix vs New RelicZabbix vs Prometheus + GrafanaZabbix vs PrometheusSite24x7 vs LogicMonitorSite24x7 vs GrafanaSite24x7 vs New RelicSite24x7 vs Prometheus + GrafanaSite24x7 vs PrometheusLogicMonitor vs GrafanaLogicMonitor vs New RelicLogicMonitor vs Prometheus + GrafanaLogicMonitor vs PrometheusGrafana vs New RelicGrafana vs Prometheus + GrafanaGrafana vs PrometheusNew Relic vs Prometheus + GrafanaNew Relic vs PrometheusPrometheus + Grafana vs Prometheus
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
0102030405060708091011121314Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative60%
Key
01Datadog45%
Datadog45%02Dynatrace25%
Dynatrace25%03Netdata12%
Netdata12%04New Relic4%
New Relic4%05LogicMonitor2%
LogicMonitor2%06Zabbix2%
Zabbix2%07Grafana2%
Grafana2%08Prometheus + Grafana0%
Prometheus + Grafana0%09Splunk0%
Splunk0%10Motadata ObserveOps0%
Motadata ObserveOps0%11Splunk Observability Cloud0%
Splunk Observability Cloud0%12SolarWinds Observability0%
SolarWinds Observability0%13Prometheus0%
Prometheus0%14Nagios0%
Nagios0%What they warned about
Five of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, MiniMax M2.5 and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Datadog34%
25 of 74 labels negative · 14 of 14 models · 7 hard negative
“Avoid consumption-based models at scale: Per-host SaaS with metered add-ons (Datadog, Dynatrace) tends to compound at scale” Claude Haiku 4.5, budget prompt
Nagios71%
12 of 17 labels negative · 10 of 14 models · 6 hard negative
“Enterprises should avoid or be cautious about Datadog due to cost unpredictability, Nagios due to scalability and maintenance issues” Mistral Small, negative prompt
Dynatrace22%
14 of 65 labels negative · 10 of 14 models · 4 hard negative
“Avoid consumption-based models at scale: Per-host SaaS with metered add-ons (Datadog, Dynatrace) tends to compound at scale” Claude Haiku 4.5, budget prompt
Zabbix31%
13 of 42 labels negative · 9 of 14 models · 3 hard negative
“avoid starting with open-source solutions (like Zabbix or Prometheus)” Qwen 3.7 Flash, paraphrase prompt
What they cite
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.
Sites the answers cite
70 of 84 answers in this category came back with a source list, from 13 of 14 models: citations where the model returns them, or the search results it consulted. 841 links across 222 sites, every framing counted. Ranked by the number of answers carrying the site or page. The other 1 model searched through a gateway that returned no source list on this edition. 26 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
vendor site · Motadata33 answers · 38 citations · 10 models
vendor site · Netdata29 answers · 60 citations · 11 models
vendor site · Middleware.io22 answers · 22 citations · 10 models
vendor site · New Relic20 answers · 36 citations · 9 models
19 answers · 22 citations · 10 models
vendor site · CubeAPM17 answers · 24 citations · 8 models
vendor site · G217 answers · 24 citations · 9 models
vendor site · Dynatrace15 answers · 22 citations · 6 models
vendor site · Coralogix15 answers · 15 citations · 9 models
14 answers · 20 citations · 6 models
vendor site · LogicMonitor14 answers · 17 citations · 7 models
vendor site · Splunk10 answers · 17 citations · 4 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
32 answers · 10 models
20 answers · 9 models
18 answers · 11 models
13 answers · 7 models
11 answers · 9 models
11 answers · 9 models
10 answers · 8 models
10 answers · 7 models
9 answers · 5 models
9 answers · 5 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best infrastructure monitoring tool”, “infrastructure monitoring tool”, “infrastructure monitoring tools”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| Datadog datadoghq.com | 45% | 590 | 74,000 | 3,541 | 159,408 | $633 | 120 | 5 |
| Dynatrace dynatrace.com | 25% | 676 | 22,200 | 1,106 | 62,738 | $3,941 | 120 | |
| Netdata netdata.cloud | 12% | 67 | 2,900 | 91 | 13,040 | 1 | 2 | |
| New Relic newrelic.com | 4% | 595 | 14,800 | 843 | 83,276 | $412 | 89 | |
| LogicMonitor logicmonitor.com | 2% | 184 | 5,400 | 236 | 82,441 | $1,636 | 31 | 4 |
| Zabbix zabbix.com | 2% | 313 | 12,100 | 992 | 18,850 | 3 | ||
| Grafana grafana.com Grafana 2%, Prometheus + Grafana 0%, Grafana Loki 0% | 2% | 277 | 40,500 | 2,627 | 84,520 | 116 | ||
| ManageEngine parent site ManageEngine OpManager 2% | 2% | 223 | 8,100 | 675 | ||||
| Checkmk checkmk.com | 2% | 64 | 2,400 | 53 | 5,596 | 68 | ||
| Middleware.io middleware.io | 2% | 43 | 30 | 0 | 7,321 | 3 |
Google's top ten for the three searches hold 20 sites; 5 of them are among the sites the models cited here (datadoghq.com, logicmonitor.com, middleware.io, netdata.cloud, splunk.com). The first result for “best infrastructure monitoring tool” is hyperping.com.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best infrastructure monitoring tool for an enterprise B2B company?”Paraphrase“Which server and cloud infrastructure monitoring solution would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade infrastructure monitoring tools and how do they differ?”Budget-constrained“What is the best infrastructure monitoring tool for a large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements evaluating an infrastructure monitoring tool. What should we look at?”Negative“Which infrastructure monitoring tools should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5Datadog, New Relicagainst: Prometheus + GrafanaDatadogChangedDatadog, DynatraceNetdataagainst: Datadog, Dynatraceno first choiceagainst: ELK Stack, Nagios, New Relic, Paessler PRTG, Prometheus, Splunk Observability Cloud, Zabbix
One alternative
SplunkFour alternatives
Dynatrace, New Relic, Prometheus + Grafana, SplunkThree alternatives
LogicMonitor, SolarWinds Observability, ZabbixThree alternatives
LogicMonitor, New Relic, ZabbixGPT-5.4 miniDatadogDynatraceChangedagainst: Amazon CloudWatch, Azure Monitor, Google Cloud OperationsDatadogDynatraceagainst: Datadog, Splunk Observability Cloudno first choiceagainst: Datadog, Prometheus
Three alternatives
Dynatrace, Grafana, New RelicTwo alternatives
Datadog, New RelicFour alternatives
Dynatrace, Grafana, New Relic, Prometheus + GrafanaOne alternative
New RelicGemini 3.5 FlashDatadogDynatraceChangedDatadog, DynatraceLogicMonitoragainst: Datadog, New Relic, Splunkno first choiceagainst: Cacti, Datadog, Dynatrace, Ganglia, InfluxDB, Monit, Munin, Nagios, Netdata, New Relic, Paessler PRTG, Prometheus, SolarWinds Network Performance Monitor, VMware Tanzu Observability
Four alternatives
Dynatrace, Grafana, LogicMonitor, New RelicFour alternatives
Datadog, Grafana Enterprise Stack, New Relic, Splunk Observability CloudFive alternatives
Grafana, LogicMonitor, New Relic, Prometheus, Splunk Observability CloudThree alternatives
Elastic Observability, Grafana Stack, ZabbixPerplexity SonarDatadogagainst: Elastic ObservabilityDynatraceChangedagainst: SolarWinds ObservabilityDatadogCheckmkagainst: Datadog, Dynatraceno first choiceagainst: Datadog, Dynatrace, Grafana, Nagios, Prometheus, Zabbix
Three alternatives
Checkmk, Dynatrace, Prometheus + GrafanaFour alternatives
Datadog, LogicMonitor, Prometheus + Grafana, ZabbixNine alternatives
Dynatrace, LogicMonitor, ManageEngine, New Relic, Paessler PRTG, Prometheus + Grafana, SolarWinds Observability, Splunk Observability Cloud, ZabbixOne alternative
ZabbixGrok 4.20Datadogagainst: ManageEngine, New Relic, Paessler PRTG, SolarWinds ObservabilityDatadogHeldagainst: Checkmk, Prometheus + Grafana, ZabbixDatadog, Dynatraceagainst: Nagios, SolarWinds ObservabilityNetdataagainst: Datadog, Dynatrace, Middleware.io, New RelicDatadog, Dynatrace, New Relicagainst: Splunk Observability Cloud, Zabbixagainst: CA Unified Infrastructure Management, Datadog, Dynatrace, Grafana, HP OpenView/Micro Focus, IBM Tivoli, Nagios, New Relic, Prometheus, SolarWinds Observability
Three alternatives
Dynatrace, LogicMonitor, ZabbixThree alternatives
Dynatrace, LogicMonitor, New RelicFive alternatives
Elastic Observability, Grafana, New Relic, Splunk, ZabbixTwo alternatives
Coralogix, KloudfuseFour alternatives
Elastic Observability, LogicMonitor, Prometheus + Grafana, ScienceLogicMistral SmallDatadogDatadogHeldDatadogMiddleware.ioagainst: Datadog, Dynatraceno first choiceagainst: Datadog, Nagios, Prometheus
Three alternatives
Dynatrace, Motadata ObserveOps, NinjaOneFour alternatives
Dynatrace, New Relic, Prometheus + Grafana, SplunkFive alternatives
Dynatrace, IBM Instana, New Relic, Splunk, ZabbixTwo alternatives
Coralogix, NetdataDeepSeek V4 FlashDynatraceDynatraceHeldDatadogZabbixagainst: Datadog, Dynatrace, New Relicno first choiceagainst: Prometheus + Grafana, Zabbixagainst: Datadog, Nagios, New Relic, Paessler PRTG, SolarWinds Observability, Zabbix
Four alternatives
Datadog, Grafana Labs, Splunk, ZabbixThree alternatives
Datadog, LogicMonitor, New RelicFive alternatives
Dynatrace, New Relic, Prometheus + Grafana, Splunk, ZabbixOne alternative
NetdataLlama 4 MaverickDatadogno first choiceChangedno first choiceno first choiceDatadogagainst: Datadog, Dynatrace
Four alternatives
ManageEngine OpManager, Paessler PRTG, Xitoring, ZabbixFour alternatives
Dynatrace, ManageEngine OpManager, Netdata, SolarWinds Network Performance MonitorQwen 3.7 FlashDatadogDynatraceChangedagainst: Grafana, Prometheus, ZabbixDatadogNetdataagainst: Datadog, New Relic, Splunkno first choiceagainst: Grafana, Prometheus, Splunkagainst: BMC, Broadcom Layer7 API Gateway, Cisco Network Analysis Module, Datadog, Icinga, LibreNMS, Nagios, New Relic, PRTN Monitor, SolarWinds Observability, Zabbix
Three alternatives
Dynatrace, New Relic, Prometheus + GrafanaThree alternatives
Datadog, LogicMonitor, SplunkFour alternatives
Dynatrace, Grafana, New Relic, SplunkOne alternative
CoralogixThree alternatives
Datadog, Dynatrace, New RelicKimi K2Datadog, DynatraceDynatraceChangedagainst: Grafana, New Relic, ZabbixDatadog, Dynatraceagainst: SolarWinds ObservabilityGrafanaagainst: Datadog, Dynatrace, New RelicDatadog, Dynatraceagainst: Datadog, Nagios, Prometheus, Splunk, Zabbix
Two alternatives
Splunk, ZabbixThree alternatives
Datadog, LogicMonitor, SplunkSix alternatives
IBM Instana, LogicMonitor, New Relic, Prometheus + Grafana, Splunk, ZabbixFour alternatives
Grafana Loki, Netdata, Prometheus, SplunkFour alternatives
Grafana, LogicMonitor, New Relic, ScienceLogicGLM 4.7 FlashXDatadogDatadogHeldDatadog, Dynatrace, New RelicNetdata, groundcoveragainst: Datadog, Dynatrace, New Relic, SolarWinds Observabilityno first choiceagainst: Datadog, Dynatrace, Nagios, Zabbix
Two alternatives
Dynatrace, New RelicThree alternatives
Dynatrace, Prometheus + Grafana, ZabbixFour alternatives
Grafana, Motadata ObserveOps, Prometheus, ZabbixOne alternative
KloudfuseMiniMax M2.5DatadogDatadog, DynatraceChangedDatadog, Dynatraceagainst: NagiosNetdataagainst: Datadog, Splunkno first choiceagainst: Datadog, Nagios, Zabbix
Four alternatives
Dynatrace, IBM Instana, SolarWinds Observability, ZabbixThree alternatives
LogicMonitor, SolarWinds SAM, SplunkFive alternatives
Elastic Observability, New Relic, Prometheus + Grafana, Splunk, ZabbixOne alternative
Prometheus + GrafanaGPT-6 LunaDatadogDatadogHeldno first choiceManageEngine OpManageragainst: New Relic Core Computeno first choiceagainst: Datadog, Prometheus, SolarWinds Orion
Two alternatives
Dynatrace, GrafanaTwo alternatives
Dynatrace, GrafanaMuse Glimmer 30BDatadogDatadog, DynatraceChangedDatadog, DynatraceNetdataagainst: Datadog, Dynatrace, New Relicno first choiceagainst: Datadog, Dynatrace, Prometheus + Grafana, SolarWinds Orion, Zabbix
Five alternatives
Dynatrace, LogicMonitor, Motadata ObserveOps, SolarWinds Orion Platform, ZabbixTwo alternatives
PRTG Enterprise Monitor, Splunk Observability CloudSeven alternatives
Amazon CloudWatch, Azure Monitor, LogicMonitor, Motadata ObserveOps, New Relic, Prometheus + Grafana, ZabbixThree alternatives
Kloudfuse, ManageEngine OpManager, Middleware.ioBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 15:32 | no | 0 | 5 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 17:57 | yes | 4 | 4 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 14:43 | no | 0 | 17 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 16:31 | yes | 10 | 5 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 19:38 | yes | 5 | 10 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 15:23 | yes | 5 | 3 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 14:17 | yes | 24 | 28 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 19:40 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 08:47 | no | 0 | 25 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:28 | yes | 10 | 16 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:02 | yes | 24 | 72 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:47 | yes | 10 | 33 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 16:50 | yes | 4 | 10 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 18:18 | yes | 14 | 17 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:15 | no | 0 | 5 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:25 | yes | 4 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 13:07 | no | 0 | 18 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 18:19 | yes | 10 | 4 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 15:11 | yes | 5 | 9 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 14:21 | no | 0 | 5 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 14:55 | yes | 24 | 33 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:48 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:00 | yes | 5 | 31 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 12:15 | yes | 15 | 28 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 15:39 | yes | 24 | 60 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:48 | yes | 10 | 39 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 17:23 | yes | 3 | 13 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:00 | yes | 15 | 21 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 18:59 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 13:24 | yes | 7 | 9 s |
| Comparative | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 08:50 | no | 0 | 17 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 12:04 | yes | 10 | 9 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 16:40 | yes | 5 | 19 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 16:06 | yes | 10 | 11 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:07 | yes | 25 | 48 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 16:52 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 08:44 | yes | 10 | 62 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 16:25 | yes | 25 | 73 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 19:29 | yes | 25 | 164 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:11 | yes | 20 | 50 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 18:31 | yes | 7 | 24 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 14:59 | yes | 15 | 31 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:03 | yes | 16 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 18:31 | yes | 3 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 11:57 | no | 0 | 17 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 15:49 | yes | 10 | 3 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 16:12 | yes | 11 | 15 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 16:42 | yes | 5 | 24 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:18 | yes | 25 | 33 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 08:54 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 18:52 | yes | 5 | 50 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 13:20 | yes | 23 | 30 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:16 | yes | 13 | 82 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:29 | yes | 9 | 34 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 15:42 | yes | 3 | 29 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 12:40 | yes | 22 | 30 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 14:50 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 14:00 | yes | 3 | 9 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 18:23 | no | 0 | 20 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 12:03 | yes | 10 | 11 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 17:33 | yes | 15 | 19 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 19:04 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:03 | yes | 24 | 36 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 17:42 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 09:20 | yes | 5 | 27 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 16:23 | yes | 17 | 41 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 15:59 | yes | 20 | 198 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 15:17 | no | 0 | 20 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 17:54 | yes | 4 | 24 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:51 | yes | 15 | 24 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 13:28 | yes | 18 | 10 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 19:06 | yes | 6 | 7 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:43 | no | 0 | 19 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 15:51 | yes | 10 | 5 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 14:39 | yes | 5 | 14 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 19:00 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:07 | yes | 25 | 57 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 16:40 | yes | 5 | 4 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 13:39 | no | 0 | 35 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 18:02 | yes | 25 | 62 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 13:14 | yes | 25 | 270 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 16:20 | yes | 15 | 48 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:14 | yes | 3 | 19 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 15:01 | yes | 23 | 27 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
AWS CloudWatch read as Amazon CloudWatch
Elastic read as Elastic Observability
Grafana Cloud read as Grafana
Grafana Enterprise read as Grafana
Motadata read as Motadata ObserveOps
SolarWinds read as SolarWinds Observability
SolarWinds (NPM/Orion Platform) read as SolarWinds Observability
SolarWinds (Orion Platform) read as SolarWinds Observability
SolarWinds (e.g., Orion Platform) read as SolarWinds Observability
Unresolved, counted raw
AWS Managed Prometheus
Cisco Network Analysis Module (NAM)
Cloud Monitoring by Google Cloud
Datadight
Munin
New Relic Core Compute
PRTN Monitor (PRTG)
SolarWinds Orion Platform
VMware Tanzu Observability (formerly Wavefront)
Discontinued, still offered
No shut-down product was recommended here.