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IT AI Index
October 2026 Edition · The permanent record of this edition. The unqualified address always carries the latest edition.
Index › IT operations and endpoint › Infra monitoring › Small business › October 2026 Edition

Infrastructure monitoring for small business buyers

Asked as “infrastructure monitoring tool”, and as “server and cloud infrastructure monitoring solution”, on behalf of a small B2B company. 56 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
16%
Contested · Paessler PRTG 14%
16Site24x714Paessler PRTG14Zabbix55others

16% of first choices, contested.

Since September 2026▼−6Since September 2026: 22% → 16%, −6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Site24x7 held the lead, −6 points on 22%, 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.

The standing

Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Site24x716%0%35accepted challenger▼−6Since September 2026: 22% → 16%, −6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.22% → 16%
02Paessler PRTG14%11%36accepted challenger▲+8Since September 2026: 6% → 14%, +8 points. Inside the 11-point floor: within noise. Read over the models both editions asked.6% → 14%
03Zabbix14%26%58criticized challenger▲+2Since September 2026: 14% → 16%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.14% → 16%
04Grafana12%15%34accepted challenger▲+4Since September 2026: 6% → 10%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.6% → 10%
05Netdata7%0%26accepted challenger▼−2Since September 2026: 10% → 8%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.10% → 8%
06UptimeRobot5%0%24accepted challenger▲+4Since September 2026: 2% → 6%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 6%
07New Relic5%22%46accepted challenger▲+2Since September 2026: 4% → 6%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 6%
08Datadog5%53%59criticized challenger▼−4Since September 2026: 10% → 6%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.10% → 6%
09Prometheus4%33%21criticized challenger=heldSince September 2026: 4% → 4%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 4%
10Prometheus + Grafana2%23%31accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 2%
11ManageEngine OpManager2%0%14accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
Show the three products at 0%, ordered by negative rate
14Dynatrace0%81%21criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
13Nagios0%62%24criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
12SigNoz0%0%11accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.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 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

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 →
01
02
03
04
05
06
07
08
09
10
11
12
13
14
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative30%
Key
01Site24x716%
02Paessler PRTG14%
03Zabbix14%
04Grafana12%
05Netdata7%
06UptimeRobot5%
07New Relic5%
08Datadog5%
09Prometheus4%
10Prometheus + Grafana2%
11ManageEngine OpManager2%
12SigNoz0%
13Nagios0%
14Dynatrace0%

What they warned about

Four of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Perplexity Sonar, Grok 4.1 Fast, Mistral Small, Llama 4 Maverick, Kimi K2, GLM 4.7 FlashX, 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.
Datadog
53%
31 of 59 labels negative · 13 of 14 models · 12 hard negative
“Avoid per-host SaaS observability at scale unless you have clear ROI and headcount to manage it, i.e., Datadog, New Relic, Dynatrace, Instana.” Muse Glimmer 30B, negative prompt
Zabbix
26%
15 of 58 labels negative · 12 of 14 models · 4 hard negative
“While free, Zabbix is often described as "fiddly" and requires a high time investment” Mistral Small, negative prompt
Dynatrace
81%
17 of 21 labels negative · 11 of 14 models · 9 hard negative
“Tools like **Splunk Enterprise**, **Dynatrace**, or **IBM Tivoli** ... **Why to avoid:** They are often overkill for a small business.” Qwen 3.7 Flash, negative prompt
Nagios
62%
15 of 24 labels negative · 10 of 14 models · 6 hard negative
“Why to avoid/be cautious: High Hidden Total Cost of Ownership (TCO): Setting up Nagios or Zabbix requires manual configuration” Gemini 3.5 Flash, 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

73 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. 948 links across 185 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 · Motadata36 answers · 42 citations · 10 models
32 answers · 43 citations · 10 models
vendor site · Netdata30 answers · 37 citations · 12 models
vendor site · UptimeRobot27 answers · 36 citations · 10 models
vendor site · New Relic27 answers · 35 citations · 10 models
vendor site · Uptrace26 answers · 29 citations · 10 models
vendor site · G225 answers · 33 citations · 11 models
vendor site · SigNoz23 answers · 26 citations · 11 models
vendor site · Dash022 answers · 22 citations · 11 models
19 answers · 20 citations · 11 models
vendor site · G219 answers · 20 citations · 8 models
vendor site · Sematext18 answers · 18 citations · 10 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.

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 productsShareOwn site citedName searches, GoogleAI search demand, est.Organic visitsPaid search a month, est.Google ads, last 30 daysBest Google position
Site24x7 site24x7.com16%2141,30061174,542$522120
Paessler PRTG paessler.com14%8039014107,237$12,945120
Zabbix zabbix.com14%27912,10099218,8503
Grafana grafana.com
Grafana 12%, Prometheus + Grafana 2%
14%24740,5002,62784,520116
Netdata netdata.cloud7%912,9009113,04012
UptimeRobot uptimerobot.com5%1826,60049287,44228
New Relic newrelic.com5%62914,80084383,276$41289
Better Stack betterstack.com5%2851,6001,01741,811119
Datadog datadoghq.com5%58574,0003,541159,408$6331205
Prometheus prometheus.io4%257246,00011,81922,996

Google's top ten for the three searches hold 20 sites; 2 of them are among the sites the models cited here (gartsolutions.com, 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
ModelDirect“What is the best infrastructure monitoring tool for a small B2B company?”Paraphrase“Which server and cloud infrastructure monitoring solution would you recommend to a small business that sells to other businesses?”Comparative“What are the top infrastructure monitoring tools for a small team and how do they differ?”Budget-constrained“What is the best infrastructure monitoring tool for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating an infrastructure monitoring tool. What should we look at?”Negative“Which infrastructure monitoring tools should a small business avoid or be cautious about?”
Claude Haiku 4.5Datadog
Two alternativesNew Relic, Prometheus + Grafana
against: CloudWatch, Zabbix
no first choiceChangedNew Relic
Four alternativesGrafana, Prometheus, SigNoz, Site24x7
against: Datadog
Grafana, Prometheus
Five alternativesBetter Stack, Nagios, Netdata, New Relic, Zabbix
no first choiceagainst: Datadog, Splunk
GPT-5.4 miniGrafana
Two alternativesDatadog, New Relic
New RelicChanged
Two alternativesDatadog, Site24x7
Datadog
Five alternativesCheckmk, Grafana, New Relic, Prometheus, Zabbix
Checkmk Community
Three alternativesGrafana, Netdata, Prometheus
against: Datadog
no first choicenothing named
Gemini 3.5 FlashBetter Stack
Three alternativesGrafana, New Relic, Site24x7
against: Datadog
Better StackHeld
Two alternativesNew Relic, Site24x7
against: Datadog, Prometheus + Grafana, Zabbix
Better Stack
Three alternativesGrafana, Netdata, New Relic
against: Datadog
Netdata
Five alternativesCheckmk Raw, Grafana, Site24x7, Uptime Kuma, Zabbix
against: Datadog, Pingdom
Better Stack, Grafana
Three alternativesNetdata, New Relic, Sentry
against: Datadog, Grafana, Prometheus
against: Broadcom DX NetOps, Datadog, Dynatrace, ELK Stack, Grafana, Nagios, New Relic, Prometheus, SolarWinds NPM, Splunk, Zabbix
Perplexity SonarPaessler PRTG
Three alternativesSite24x7, UptimeRobot, Zabbix
Site24x7Changed
One alternativeZabbix
Paessler PRTG
Seven alternativesBetter Stack, Datadog, Netdata, New Relic, Prometheus + Grafana, Site24x7, Zabbix
Zabbix
Two alternativesSite24x7, UptimeRobot
against: Paessler PRTG
no first choiceagainst: Dynatrace, Grafana, Nagios, Prometheus, Splunk, Zabbix
Grok 4.1 FastGrafana, Prometheus
Five alternativesDatadog, New Relic, Paessler PRTG, Site24x7, Zabbix
Site24x7Changed
Three alternativesManageEngine OpManager, Paessler PRTG, Zabbix
against: Datadog, New Relic
Prometheus + Grafana
Five alternativesDatadog, Netdata, New Relic, Site24x7, Zabbix
Netdata
Three alternativesPrometheus + Grafana, Site24x7, Zabbix
against: Datadog
Grafana
Two alternativesCloudWatch, Prometheus
against: Datadog
against: Datadog, Dynatrace, Nagios, New Relic, Paessler PRTG, SolarWinds, Zabbix
Mistral SmallNetdata, Paessler PRTG
Two alternativesDatadog Network Performance Monitoring, NinjaOne
Datadog, New RelicChanged
Two alternativesGrafana, UptimeRobot
Prometheus + Grafana, Zabbix
Three alternativesCheckmk, Datadog, Site24x7
against: Nagios
UptimeRobot, Zabbix
Two alternativesGrafana, Prometheus
against: Nagios
no first choiceagainst: AppDynamics, Datadog, Dynatrace, Grafana, Prometheus + Grafana, SolarWindsagainst: Datadog, Dynatrace, Nagios, Zabbix
DeepSeek V4 FlashPaessler PRTG
Three alternativesNew Relic, Site24x7, Zabbix
against: Datadog, Nagios
Paessler PRTGHeld
One alternativeUptimeRobot
against: Datadog, Dynatrace, LogicMonitor, Prometheus + Grafana, Zabbix
Netdata, UptimeRobot
Six alternativesGrafana, New Relic, Paessler PRTG, Prometheus + Grafana, SigmaOS / SigNoz, Site24x7
against: Datadog, Zabbix
Zabbix
Four alternativesManageEngine OpManager, Paessler PRTG Network Monitor, Prometheus + Grafana, UptimeRobot
no first choiceagainst: Datadog, Dynatrace, Nagios, New Relic, Prometheus + Grafana, Splunk
Llama 4 MaverickNetdata
One alternativePaessler PRTG
against: Prometheus
Site24x7Changed
Four alternativesDatadog, IBM Instana, LogicMonitor, New Relic
no first choiceUptimeRobot
Two alternativesAtera, Sematext
no first choiceagainst: Datadog, Dynatrace, LogicMonitor, New Relic, Splunk Observability Cloud
Qwen 3.7 FlashSite24x7
Three alternativesManageEngine OpManager, Prometheus + Grafana, Zabbix
Site24x7Held
Three alternativesDatadog, Uptime Kuma, Zabbix
against: Prometheus
Datadog, Netdata
Four alternativesGrafana, SigNoz, UptimeRobot, Zabbix
against: New Relic, Prometheus + Grafana
Zabbix
Four alternativesGrafana, Prometheus, Site24x7, Uptime Kuma
Datadog, New Relic
Three alternativesDynatrace, Grafana, Zabbix
against: Grafana, Prometheus
against: Cisco Catalyst Center, Datadog, Dynatrace, IBM Tivoli, Nagios, Prometheus, SolarWinds Network Performance Monitor, Splunk, Zabbix
Kimi K2Paessler PRTG
Three alternativesSite24x7, UptimeRobot, Zabbix
against: Datadog, New Relic
Site24x7Changed
Two alternativesPaessler PRTG, UptimeRobot
against: Datadog, Pingdom
Grafana + Prometheus
Five alternativesNetdata, New Relic, Site24x7, UptimeRobot, Zabbix
against: Datadog, Nagios, Paessler PRTG
Uptime Kuma, Zabbix
Two alternativesPrometheus + Grafana, Site24x7
no first choice
Four alternativesNetdata, Paessler PRTG, SigNoz, Zabbix
against: Datadog, Dynatrace
against: Datadog, Dynatrace, Microsoft SCOM, Nagios, SolarWinds NPM, Splunk, Zabbix
GLM 4.7 FlashXSite24x7, Zabbix
Five alternativesAmazon CloudWatch, Datadog, ManageEngine OpManager, New Relic, Prometheus + Grafana
against: Dynatrace
Paessler PRTGChanged
Three alternativesDatadog, Prometheus + Grafana, Site24x7
Datadog, Site24x7
Three alternativesNew Relic, Paessler PRTG, Prometheus + Grafana
against: Dynatrace, Nagios, Zabbix
Zabbix
Five alternativesCacti, Icinga, Nagios, Prometheus + Grafana, Sensu Go
no first choiceagainst: ActivTrak, CurrentWare, Datadog, Dynatrace, Elastic Stack, Hubstaff, IBM Instana, Nagios, New Relic, Paessler PRTG, SolarWinds Network Performance Monitor, Splunk, Teramind, Time Doctor, Zabbix
MiniMax M2.5Paessler PRTG, Site24x7
Four alternativesDatadog, Netdata, Prometheus + Grafana, Zabbix
ManageEngine OpManager, ZabbixChanged
Two alternativesDatadog, Prometheus + Grafana
Netdata, New Relic
One alternativePrometheus + Grafana
Prometheus + Grafana, UptimeRobot
Two alternativesNew Relic, Zabbix
no first choice
Nine alternativesAmazon CloudWatch, Datadog, Dynatrace, Grafana Stack, Paessler PRTG, Progress WhatsUp Gold, Prometheus, SolarWinds, Zabbix
against: Datadog, Dynatrace, New Relic, Zabbix
GPT-6 LunaGrafana
One alternativeNew Relic
GrafanaHeld
Three alternativesAzure Monitor, CloudWatch, Datadog
Grafana
Four alternativesBetter Stack, Checkmk Community, Datadog, New Relic
Checkmk Community
Three alternativesGrafana, Prometheus, Zabbix
no first choiceagainst: Datadog, Nagios, Prometheus + Grafana, Zabbix
Muse Glimmer 30BPaessler PRTG
Three alternativesGrafana, ManageEngine OpManager, Prometheus
LogicMonitorChanged
Three alternativesNetdata, Paessler PRTG, Site24x7
Site24x7
Four alternativesManageEngine OpManager, Netdata, Prometheus + Grafana, Zabbix
against: Datadog, Dynatrace
Site24x7
Seven alternativesGrafana, ManageEngine OpManager, Nagios, Netdata, Prometheus, UptimeRobot, Zabbix
no first choiceagainst: Datadog, Dynatrace, ELK, Elastic Stack, IBM Instana, Nagios, New Relic, Prometheus + Grafana, Zabbix
Bold 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.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 09:26no05 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 11:10yes34 s
Direct recommendationGemini 3.5 Flashgemini-3.5-flash2026-10-01 10:30yes1422 s
Direct recommendationPerplexity Sonarsonar2026-10-01 11:41yes193 s
Direct recommendationGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 10:16yes197 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-10-01 12:23yes53 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 07:53yes1324 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 11:44yes105 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 12:39yes935 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-10-01 11:56yes1416 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 09:11yes1752 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 10:10yes1472 s
Direct recommendationGPT-6 Lunagpt-6-luna2026-10-01 13:16yes213 s
Direct recommendationMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 12:28yes2330 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 12:10no04 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 13:17yes44 s
ParaphraseGemini 3.5 Flashgemini-3.5-flash2026-10-01 13:07yes1824 s
ParaphrasePerplexity Sonarsonar2026-10-01 13:23yes203 s
ParaphraseGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 09:42yes246 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-10-01 12:33no02 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 08:53yes2522 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 08:10yes52 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 12:43no040 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-10-01 13:50yes2021 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 12:57yes2525 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 13:22yes1326 s
ParaphraseGPT-6 Lunagpt-6-luna2026-10-01 09:39yes319 s
ParaphraseMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 09:29yes1318 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 12:11yes98 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 09:56yes610 s
ComparativeGemini 3.5 Flashgemini-3.5-flash2026-10-01 13:02yes1723 s
ComparativePerplexity Sonarsonar2026-10-01 09:09yes204 s
ComparativeGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 09:01yes2110 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-10-01 09:39yes1310 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 10:04yes2355 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 11:32yes53 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 10:08yes1035 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-10-01 10:06yes1435 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 09:09yes21102 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 13:26yes1331 s
ComparativeGPT-6 Lunagpt-6-luna2026-10-01 12:34yes516 s
ComparativeMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 09:02yes1129 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 13:10yes109 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 12:34yes46 s
Budget constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-01 13:05yes1325 s
Budget constrainedPerplexity Sonarsonar2026-10-01 11:55yes203 s
Budget constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 10:28yes188 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-10-01 10:18yes54 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 13:20yes1932 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 12:13yes52 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 13:34no033 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-01 12:21yes1418 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 09:56yes991 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 09:09yes530 s
Budget constrainedGPT-6 Lunagpt-6-luna2026-10-01 10:05yes411 s
Budget constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 08:19yes2339 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 08:50no06 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 08:20no07 s
Scale constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-01 10:34yes824 s
Scale constrainedPerplexity Sonarsonar2026-10-01 07:38yes194 s
Scale constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 13:27no06 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-10-01 10:17no07 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 13:11yes2052 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 09:09yes52 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 08:06yes523 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-01 13:52yes1428 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 10:57yes1419 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 12:56yes518 s
Scale constrainedGPT-6 Lunagpt-6-luna2026-10-01 12:22yes416 s
Scale constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 11:12no04 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 09:55yes199 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 09:46no05 s
Negative framingGemini 3.5 Flashgemini-3.5-flash2026-10-01 07:26yes923 s
Negative framingPerplexity Sonarsonar2026-10-01 13:18yes193 s
Negative framingGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 08:48yes237 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-10-01 11:41yes53 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 08:26yes2460 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 10:26yes53 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 07:56yes829 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-10-01 07:44yes2426 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 13:01yes22187 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 09:20yes1036 s
Negative framingGPT-6 Lunagpt-6-luna2026-10-01 12:07yes417 s
Negative framingMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 11:21yes1330 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
Grafana Cloud read as Grafana
Unresolved, counted raw
Broadcom DX NetOps
Checkmk Community
Librato
Sensu Go
SigmaOS / SigNoz
Victoria Metrics
Discontinued, still offered
No shut-down product was recommended here.
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