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
41%
Clear leader
41Datadog24Dynatrace14Netdata22others
41% of first choices, clear leader.
Since September 2026▲+7Since September 2026: 35% → 42%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Datadog held the lead, +7 points on 35%, 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
Site24x716%Contested▼−6Since September 2026: 22% → 16%, −6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Mid-market
Datadog28%Contested↗new leaderNew leader since September 2026: Datadog (27%) replaces Site24x7 (24% then, 9% now), 18 points clear, past the 11-point floor.Standing →EnterpriseDatadog41%Clear leader▲+7Since September 2026: 35% → 42%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This page
Site24x716%Contested▼−6Since September 2026: 22% → 16%, −6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketDatadog28%Contested↗new leaderNew leader since September 2026: Datadog (27%) replaces Site24x7 (24% then, 9% now), 18 points clear, past the 11-point floor.Standing →EnterpriseDatadog41%Clear leader▲+7Since September 2026: 35% → 42%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.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 September 2026
01Datadog41%36%73criticized default▲+7Since September 2026: 35% → 42%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.35% → 42%
Datadog41%36%73criticized default▲+7Since September 2026: 35% → 42%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.35% → 42%02
Dynatrace24%26%66criticized challenger▼−12Since September 2026: 33% → 21%, −12 points. Past the 11-point floor: movement. Read over the models both editions asked.33% → 21%
Dynatrace24%26%66criticized challenger▼−12Since September 2026: 33% → 21%, −12 points. Past the 11-point floor: movement. Read over the models both editions asked.33% → 21%03
Netdata14%0%14accepted challenger▼−1Since September 2026: 15% → 14%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.15% → 14%
Netdata14%0%14accepted challenger▼−1Since September 2026: 15% → 14%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.15% → 14%04
New Relic6%16%49accepted challenger▲+5Since September 2026: 0% → 5%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 5%
New Relic6%16%49accepted challenger▲+5Since September 2026: 0% → 5%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 5%05
Splunk Observability Cloud4%12%16accepted challenger▲+5Since September 2026: 0% → 5%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 5%
Splunk Observability Cloud4%12%16accepted challenger▲+5Since September 2026: 0% → 5%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 5%06
Zabbix4%36%28criticized challenger▲+2Since September 2026: 2% → 5%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 5%
Zabbix4%36%28criticized challenger▲+2Since September 2026: 2% → 5%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 5%07
ManageEngine OpManager2%15%13accepted challengernewNew since September 2026: not ranked then, 2% now.
ManageEngine OpManager2%15%13accepted challengernewNew since September 2026: not ranked then, 2% now.Show the seven products at 0%, ordered by negative rate
14
Nagios0%55%20criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Nagios0%55%20criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%13
Paessler PRTG0%45%11criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Paessler PRTG0%45%11criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%12
Prometheus0%43%23criticized challenger▼−4Since September 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 0%
Prometheus0%43%23criticized challenger▼−4Since September 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 0%11
Splunk0%25%12criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
Splunk0%25%12criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%08
Grafana0%17%36accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Grafana0%17%36accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%09
Prometheus + Grafana0%11%19accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Prometheus + Grafana0%11%19accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%10
LogicMonitor0%10%20accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
LogicMonitor0%10%20accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 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 is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. 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.
All twenty-eight head-to-head pages: the top eight products, each against each
Datadog vs Site24x7Datadog vs GrafanaDatadog vs Paessler PRTGDatadog vs PrometheusZabbix vs New RelicZabbix vs ManageEngine OpManagerZabbix vs Site24x7Zabbix vs GrafanaZabbix vs Paessler PRTGZabbix vs PrometheusNew Relic vs ManageEngine OpManagerNew Relic vs Site24x7New Relic vs GrafanaNew Relic vs Paessler PRTGNew Relic vs PrometheusManageEngine OpManager vs Site24x7ManageEngine OpManager vs GrafanaManageEngine OpManager vs Paessler PRTGManageEngine OpManager vs PrometheusSite24x7 vs GrafanaSite24x7 vs Paessler PRTGSite24x7 vs PrometheusGrafana vs Paessler PRTGGrafana vs PrometheusPaessler PRTG 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
01Datadog41%
Datadog41%02Dynatrace24%
Dynatrace24%03Netdata14%
Netdata14%04New Relic6%
New Relic6%05Splunk Observability Cloud4%
Splunk Observability Cloud4%06Zabbix4%
Zabbix4%07ManageEngine OpManager2%
ManageEngine OpManager2%08Grafana0%
Grafana0%09Prometheus + Grafana0%
Prometheus + Grafana0%10LogicMonitor0%
LogicMonitor0%11Splunk0%
Splunk0%12Prometheus0%
Prometheus0%13Paessler PRTG0%
Paessler PRTG0%14Nagios0%
Nagios0%What they warned about
Six of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Perplexity Sonar, Mistral Small, Llama 4 Maverick, Qwen 3.7 Flash, 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.
Datadog36%
26 of 73 labels negative · 13 of 14 models · 6 hard negative
“Platforms like Datadog ... charge heavily for data ingestion, custom metrics, and log indexing ... costs explode unpredictably.” Gemini 3.5 Flash, budget prompt
Dynatrace26%
17 of 66 labels negative · 11 of 14 models · 3 hard negative
“Dynatrace has premium pricing among the most expensive in the category and a complex licensing structure” Claude Haiku 4.5, budget prompt
Nagios55%
11 of 20 labels negative · 10 of 14 models · 7 hard negative
“Reported setup times of **8–12 weeks** and a “massive time cost.” At enterprise scale the configuration bloat can lead to maintenance nightmares.” GLM 4.7 FlashX, negative prompt
Zabbix36%
10 of 28 labels negative · 10 of 14 models · 1 hard negative
“Installation, configuration, and dashboard building often take **6–8 weeks**... avoid tools that require manual, time-consuming configuration” GLM 4.7 FlashX, negative prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
78 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 1079 links across 263 sites, every framing counted. Ranked by the number of answers carrying the site or page. 14 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 · Motadata46 answers · 54 citations · 11 models
36 answers · 43 citations · 10 models
vendor site · Netdata33 answers · 48 citations · 12 models
vendor site · New Relic32 answers · 56 citations · 11 models
vendor site · Middleware.io30 answers · 33 citations · 11 models
20 answers · 26 citations · 9 models
vendor site · SigNoz19 answers · 25 citations · 11 models
19 answers · 20 citations · 10 models
vendor site · CubeAPM18 answers · 21 citations · 10 models
vendor site · G216 answers · 22 citations · 9 models
15 answers · 15 citations · 5 models
vendor site · Grafana14 answers · 23 citations · 5 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.
42 answers · 10 models
30 answers · 12 models
25 answers · 11 models
21 answers · 9 models
20 answers · 8 models
19 answers · 10 models
15 answers · 6 models
15 answers · 8 models
15 answers · 11 models
12 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 | 41% | 585 | 74,000 | 3,541 | 159,408 | $633 | 120 | 5 |
| Dynatrace dynatrace.com | 24% | 700 | 22,200 | 1,106 | 62,738 | $3,941 | 120 | |
| Netdata netdata.cloud | 14% | 91 | 2,900 | 91 | 13,040 | 1 | 2 | |
| New Relic newrelic.com | 6% | 629 | 14,800 | 843 | 83,276 | $412 | 89 | |
| Splunk parent site Splunk Observability Cloud 4% | 4% | 172 | 40,500 | 6,832 | ||||
| Zabbix zabbix.com | 4% | 279 | 12,100 | 992 | 18,850 | 3 | ||
| ManageEngine parent site ManageEngine OpManager 2% | 2% | 178 | 8,100 | 675 | ||||
| Middleware.io middleware.io | 2% | 44 | 30 | 0 | 7,321 | 3 | ||
| SigNoz signoz.io | 2% | 208 | 2,400 | 52 | 7,244 | 1 | ||
| Observe observeinc.com | 2% | 8 |
Google's top ten for the three searches hold 20 sites; 3 of them are among the sites the models cited here (gartner.com, middleware.io, netdata.cloud). 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, DynatraceDatadogChangedDatadogNew Relicagainst: Datadog, Dynatraceno first choiceagainst: Datadog, Dynatrace, Elastic Observability, ManageEngine OpManager, Paessler PRTG, Prometheus, Splunk Observability Cloud, Zabbix
Three alternatives
Domotz, LogicMonitor, Paessler PRTGFive alternatives
Amazon CloudWatch, Azure Monitor, New Relic, Prometheus + Grafana, SplunkFour alternatives
Dynatrace, LogicMonitor, Netdata, Prometheus + GrafanaOne alternative
Middleware.ioGPT-5.4 miniDatadogDynatraceChangedDatadog, DynatraceDynatraceagainst: Grafana, New Relicno first choicenothing named
Four alternatives
Dynatrace, Grafana Labs, New Relic, SplunkTwo alternatives
Datadog, New RelicSix alternatives
Grafana, LogicMonitor, New Relic, Prometheus + Grafana, SolarWinds Observability, Splunk Observability CloudGemini 3.5 FlashDynatraceDynatraceHeldno first choiceObserveagainst: Datadog, Grafana, New Relic, Prometheus, ThanosDynatraceagainst: Datadogagainst: BMC, CA, Datadog, Dynatrace, Elasticsearch, Grafana, Grafana Loki, Jaeger, Nagios, Prometheus, SolarWinds, Splunk, Thanos, Zenoss
Three alternatives
Datadog, Grafana, LogicMonitorThree alternatives
Datadog, Grafana, New RelicFour alternatives
Checkmk, Coralogix, Netdata, ZabbixThree alternatives
Grafana, LogicMonitor, New RelicPerplexity SonarDynatraceDatadogChangedno first choiceNetdatano first choiceagainst: Datadog, Dynatrace, Nagios, New Relic, Splunk Observability Cloud, Zabbix
Three alternatives
Datadog, LogicMonitor, New RelicThree alternatives
Azure Monitor, Dynatrace, IBM SevOneTwo alternatives
Dynatrace, Splunk Observability PlatformGrok 4.1 FastDatadogagainst: LogicMonitor, Prometheus + GrafanaDatadogHeldagainst: ManageEngine OpManagerDatadog, Dynatraceagainst: Prometheus, SolarWindsNetdataagainst: Datadog, New Relic, SplunkDatadogagainst: Datadog, Dynatrace, Icinga, Microsoft SCOM, Nagios, New Relic, Paessler PRTG, Prometheus, Zabbix
Three alternatives
Dynatrace, New Relic, Splunk Observability CloudTwo alternatives
Dynatrace, New RelicFour alternatives
LogicMonitor, ManageEngine OpManager, New Relic, Splunk Observability CloudFive alternatives
Dynatrace, LogicMonitor, ManageEngine OpManager, Prometheus + Grafana, ZabbixSeven alternatives
Dynatrace, Grafana, Mimir, Netdata, New Relic, SolarWinds NPM, Sumo LogicMistral SmallDatadog, Splunk Observability CloudDatadog, DynatraceChangedagainst: PrometheusDatadogMiddleware.io, Netdataagainst: Datadog, Dynatraceno first choiceagainst: Datadog, Dynatrace
Three alternatives
Grafana, ManageEngine OpManager, Prometheus + GrafanaTwo alternatives
New Relic, SplunkFive alternatives
Dynatrace, IBM Instana, New Relic, Prometheus + Grafana, ZabbixOne alternative
CubeAPMDeepSeek V4 FlashDatadogDatadogHeldDatadogagainst: Paessler PRTG, SolarWindsSigNozagainst: Datadog, Dynatrace, Grafana, New Relicno first choiceagainst: Datadog, Dynatraceagainst: Datadog, Nagios, Zabbix
Four alternatives
Dynatrace, Grafana, New Relic, Splunk Observability CloudOne alternative
DynatraceFive alternatives
Dynatrace, LogicMonitor, New Relic, Prometheus + Grafana, Splunk Observability PlatformOne alternative
NetdataLlama 4 Maverickno first choiceDatadogChangedno first choiceno first choiceNetdataagainst: Datadog, Dynatrace, Nagios, Prometheus, Zabbix
Two alternatives
Domotz, Monitor Hub EnterpriseQwen 3.7 FlashDatadogDynatraceChangedDynatraceNetdataagainst: Datadog, Dynatraceno first choiceagainst: Datadog, Dynatrace, Grafana, Nagios, New Relic, Prometheus, Quest, SolarWinds, Zabbix
Five alternatives
Dynatrace, Grafana, ManageEngine OpManager, Prometheus, Splunk Observability CloudTwo alternatives
Datadog, Grafana LabsFive alternatives
Datadog, Grafana, New Relic, Prometheus, Splunk Observability CloudTwo alternatives
Prometheus, ZabbixKimi K2DatadogDatadogHeldDynatraceagainst: Nagios, New RelicZabbixagainst: Datadogno first choiceagainst: Datadog, Nagios, Splunk, Zabbix
Three alternatives
Dynatrace, New Relic, Prometheus + GrafanaTwo alternatives
Dynatrace, Grafana Enterprise StackFive alternatives
Datadog, Paessler PRTG, Prometheus + Grafana, Splunk, ZabbixTwo alternatives
Grafana, New RelicGLM 4.7 FlashXDatadogDatadogHeldDatadogNetdataagainst: Datadog, Dynatraceno first choiceagainst: Datadog, Dynatrace, Nagios, Prometheus, Zabbix
Four alternatives
Dynatrace, LogicMonitor, New Relic, Prometheus + GrafanaFive alternatives
Dynatrace, Grafana, New Relic, Prometheus + Grafana, ZabbixSix alternatives
Dynatrace, ManageEngine OpManager, New Relic, Prometheus + Grafana, SolarWinds Network Performance Monitor, SplunkTwo alternatives
New Relic, Prometheus + GrafanaMiniMax M2.5Datadog, New RelicManageEngine OpManager, Splunk Observability CloudChangedDatadog, PrometheusZabbixagainst: Datadog, Dynatrace, LogicMonitor, Paessler PRTGno first choiceagainst: Datadog, Dynatrace, Nagios, Paessler PRTG, Zabbix
Two alternatives
Dynatrace, Prometheus + GrafanaTwo alternatives
Nagios, Sematext InfrastructureFive alternatives
Grafana, Middleware.io, Nagios, Splunk, ZabbixTwo alternatives
Nagios, Sunbird DCIMGPT-6 LunaDatadogDatadogHeldno first choiceDynatraceagainst: Datadogno first choiceagainst: Datadog, Grafana, Nagios, Prometheus, SolarWinds Orion
Three alternatives
Dynatrace, Grafana Cloud or self-managed Grafana, New RelicTwo alternatives
Dynatrace, GrafanaTen alternatives
Datadog, Dynatrace, Elastic Observability, Grafana, LogicMonitor, New Relic, Prometheus, SolarWinds Observability, Splunk Observability Cloud, ZabbixOne alternative
NagiosMuse Glimmer 30BDatadog, Dynatrace, New RelicDynatraceChangedagainst: Prometheus + GrafanaDatadogNetdataagainst: Datadog, Dynatraceno first choiceagainst: Datadog, SolarWinds Orion, Zabbix
Three alternatives
Grafana, ManageEngine OpManager, PrometheusOne alternative
DatadogFive alternatives
Dynatrace, Netdata, New Relic, Prometheus + Grafana, Splunk Observability PlatformThree alternatives
Prometheus + Grafana, Uptrace, ZabbixBold 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. Full answer text is in the free responses file. Download the record
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 | 2026-10-01 09:50 | yes | 9 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:42 | yes | 3 | 6 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:55 | yes | 21 | 33 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 12:07 | yes | 18 | 5 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:24 | yes | 23 | 12 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:57 | yes | 9 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:36 | yes | 25 | 34 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:15 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:56 | yes | 5 | 23 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:44 | yes | 15 | 19 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:48 | yes | 18 | 57 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:14 | no | 0 | 11 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:53 | yes | 5 | 13 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:58 | yes | 13 | 23 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:36 | no | 0 | 5 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:19 | yes | 3 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:14 | yes | 9 | 23 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 13:19 | yes | 16 | 4 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:46 | yes | 24 | 6 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:03 | no | 0 | 8 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:08 | yes | 24 | 28 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:42 | yes | 5 | 1 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:43 | yes | 19 | 62 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:59 | yes | 20 | 18 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:41 | yes | 20 | 21 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:22 | yes | 7 | 30 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:42 | yes | 5 | 17 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:17 | yes | 15 | 22 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 12:21 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:23 | yes | 5 | 15 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:55 | yes | 12 | 24 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 11:58 | yes | 20 | 7 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:26 | yes | 22 | 8 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:10 | yes | 9 | 9 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:45 | yes | 23 | 54 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:21 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:16 | yes | 15 | 38 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:06 | yes | 19 | 33 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 13:49 | yes | 24 | 56 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:23 | yes | 13 | 18 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:47 | yes | 9 | 35 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:50 | yes | 13 | 29 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:03 | yes | 9 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:35 | yes | 3 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:38 | yes | 21 | 32 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 09:00 | yes | 19 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:51 | yes | 20 | 7 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:34 | yes | 8 | 6 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:33 | yes | 25 | 31 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:14 | yes | 5 | 4 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:51 | yes | 8 | 62 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:12 | yes | 21 | 31 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:23 | yes | 12 | 160 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:02 | yes | 16 | 59 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:43 | yes | 3 | 16 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:31 | yes | 17 | 41 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:29 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 13:43 | no | 0 | 8 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:32 | yes | 8 | 24 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 09:36 | yes | 19 | 10 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:07 | yes | 15 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:57 | no | 0 | 9 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:35 | yes | 24 | 62 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:25 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:55 | yes | 9 | 31 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:12 | yes | 25 | 27 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:36 | yes | 22 | 49 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:07 | yes | 5 | 18 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:52 | yes | 4 | 22 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:32 | yes | 14 | 23 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:03 | yes | 17 | 11 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 13:44 | yes | 8 | 7 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:19 | yes | 17 | 30 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 12:20 | yes | 23 | 6 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:41 | yes | 22 | 11 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:59 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:31 | yes | 25 | 39 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:44 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:38 | yes | 5 | 36 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:56 | yes | 25 | 22 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:58 | yes | 13 | 141 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:34 | yes | 14 | 37 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:50 | yes | 4 | 26 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:08 | yes | 25 | 37 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
Unresolved, counted raw
CA
Cisco Splunk
Grafana Cloud or self-managed Grafana
Grafana stack with Loki/Tempo
IBM SevOne
Monitor Hub Enterprise
Sematext Infrastructure
Splunk Observability Platform
Discontinued, still offered
No shut-down product was recommended here.