Application performance monitoring for enterprise buyers
Asked as “APM tool”, and as “application performance monitoring solution”, on behalf of an enterprise B2B company. 45 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
47%
Clear leader
47Dynatrace16Datadog APM11New Relic27others
47% of first choices, clear leader.
Since September 2026▲+1Since September 2026: 46% → 46%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.Dynatrace held the lead, +1 point on 46%, 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
New Relic53%Clear leader▲+1Since September 2026: 51% → 52%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketNew Relic46%Clear leader▼−5Since September 2026: 54% → 49%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Enterprise
Dynatrace47%Clear leader▲+1Since September 2026: 46% → 46%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.This page
New Relic53%Clear leader▲+1Since September 2026: 51% → 52%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketNew Relic46%Clear leader▼−5Since September 2026: 54% → 49%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →EnterpriseDynatrace47%Clear leader▲+1Since September 2026: 46% → 46%, +1 point. 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
01Dynatrace47%19%69endorsed leader▲+1Since September 2026: 46% → 46%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.46% → 46%
Dynatrace47%19%69endorsed leader▲+1Since September 2026: 46% → 46%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.46% → 46%02
Datadog APM16%32%73criticized challenger▼−13Since September 2026: 28% → 15%, −13 points. Past the 11-point floor: movement. Read over the models both editions asked.28% → 15%
Datadog APM16%32%73criticized challenger▼−13Since September 2026: 28% → 15%, −13 points. Past the 11-point floor: movement. Read over the models both editions asked.28% → 15%03New Relic11%20%64accepted challenger▲+2Since September 2026: 11% → 13%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.11% → 13%
New Relic11%20%64accepted challenger▲+2Since September 2026: 11% → 13%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.11% → 13%04
AppDynamics9%24%49accepted challenger▲+8Since September 2026: 2% → 10%, +8 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 10%
AppDynamics9%24%49accepted challenger▲+8Since September 2026: 2% → 10%, +8 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 10%Show the five products at 0%, ordered by negative rate
06
Grafana Cloud0%22%23accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Grafana Cloud0%22%23accepted 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
Splunk Observability Cloud0%17%12accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Splunk Observability Cloud0%17%12accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%08
Elastic APM0%15%13accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Elastic APM0%15%13accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%05
IBM Instana0%0%13accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
IBM Instana0%0%13accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%07
Honeycomb0%0%10accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
Honeycomb0%0%10accepted 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
New Relic vs Elastic APMNew Relic vs IBM InstanaNew Relic vs Grafana CloudNew Relic vs HoneycombDatadog APM vs SigNozDatadog APM vs Site24x7Datadog APM vs Elastic APMDatadog APM vs IBM InstanaDatadog APM vs Grafana CloudDatadog APM vs HoneycombSigNoz vs Site24x7SigNoz vs Elastic APMSigNoz vs IBM InstanaSigNoz vs Grafana CloudSigNoz vs HoneycombSite24x7 vs Elastic APMSite24x7 vs IBM InstanaSite24x7 vs Grafana CloudSite24x7 vs HoneycombElastic APM vs IBM InstanaElastic APM vs Grafana CloudElastic APM vs HoneycombIBM Instana vs Grafana CloudIBM Instana vs HoneycombGrafana Cloud vs Honeycomb
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 →
010203040506070809Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative60%
Key
01Dynatrace47%
Dynatrace47%02Datadog APM16%
Datadog APM16%03New Relic11%
New Relic11%04AppDynamics9%
AppDynamics9%05IBM Instana0%
IBM Instana0%06Grafana Cloud0%
Grafana Cloud0%07Honeycomb0%
Honeycomb0%08Elastic APM0%
Elastic APM0%09Splunk Observability Cloud0%
Splunk Observability Cloud0%What they warned about
Eight of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Mistral Small, Llama 4 Maverick, MiniMax M2.5 and GPT-6 Luna 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 APM32%
23 of 73 labels negative · 12 of 14 models · 3 hard negative
“you should generally avoid the following mainstream competitors... **Datadog:** ... notoriously bad for cost prediction at high volumes” Qwen 3.7 Flash, budget prompt
Dynatrace19%
13 of 69 labels negative · 12 of 14 models · 3 hard negative
“you should generally avoid the following mainstream competitors... introduces volatility for high-throughput environments” Qwen 3.7 Flash, budget prompt
New Relic20%
13 of 64 labels negative · 10 of 14 models · 1 hard negative
“you should generally avoid the following mainstream competitors... they shifted heavily toward usage-based pricing” Qwen 3.7 Flash, budget prompt
AppDynamics24%
12 of 49 labels negative · 8 of 14 models · 4 hard negative
“Avoid for modern, cloud-native greenfield projects... AppDynamics relies heavily on bulky, language-specific runtime agents” 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
76 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. 982 links across 205 sites, every framing counted. Ranked by the number of answers carrying the site or page. 10 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 · New Relic55 answers · 93 citations · 14 models
vendor site · ManageEngine38 answers · 41 citations · 12 models
vendor site · Motadata37 answers · 42 citations · 11 models
vendor site · Middleware.io34 answers · 39 citations · 11 models
vendor site · G229 answers · 44 citations · 12 models
26 answers · 27 citations · 11 models
vendor site · Atatus24 answers · 26 citations · 9 models
vendor site · Uptrace21 answers · 22 citations · 11 models
vendor site · CubeAPM19 answers · 29 citations · 11 models
vendor site · Dynatrace17 answers · 18 citations · 8 models
17 answers · 17 citations · 7 models
vendor site · groundcover16 answers · 17 citations · 9 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.
43 answers · 13 models
35 answers · 11 models
30 answers · 11 models
30 answers · 10 models
22 answers · 9 models
20 answers · 11 models
18 answers · 9 models
16 answers · 7 models
15 answers · 6 models
14 answers · 8 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 “apm tool”, “apm tools”, “best apm tool”. 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 |
|---|---|---|---|---|---|---|---|---|
| Dynatrace dynatrace.com | 47% | 700 | 22,200 | 1,106 | 62,738 | $3,941 | 120 | 2 |
| Datadog datadoghq.com Datadog APM 16% | 16% | 186 | 74,000 | 3,541 | 159,408 company | $633 | 120 | |
| New Relic newrelic.com | 11% | 629 | 14,800 | 843 | 83,276 | $412 | 89 | 4 |
| AppDynamics splunk.com | 9% | 136 | 2,900 | 211 | 892,906 | 120 | ||
| CubeAPM cubeapm.com | 9% | 27 | 40 | 0 | 846 | |||
| Middleware.io middleware.io | 2% | 44 | 30 | 0 | 7,321 | |||
| Dynatrace Platform Subscription | 2% | |||||||
| Logit.io logit.io | 2% | 2 | ||||||
| Scout scoutapm.com Scout APM 2% | 2% | 18 | 170 | 0 | 4,420 company | 1 | ||
| IBM parent site IBM Instana 0% | 0% | 74 | 201,000 | 34,098 |
Google's top ten for the three searches hold 15 sites; 4 of them are among the sites the models cited here (dynatrace.com, manageengine.com, motadata.com, newrelic.com). The first result for “apm tool” is blazemeter.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 APM tool for an enterprise B2B company?”Paraphrase“Which application performance monitoring solution would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade APM tools and how do they differ?”Budget-constrained“What is the best APM 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 a APM tool. What should we look at?”Negative“Which APM tools should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5Datadog APMDynatraceChangedDatadog APMCubeAPM, New Relicagainst: Datadog APM, Dynatrace, Splunkno first choiceagainst: AWS X-Ray, CloudWatch, Datadog APM, Dynatrace, Elastic Observability, Grafana Cloud
Three alternatives
AppDynamics, Dynatrace, New RelicTwo alternatives
AppDynamics, Datadog APMFour alternatives
AppDynamics, Dynatrace, ManageEngine OpManager Nexus, New RelicOne alternative
SigNozGPT-5.4 miniDatadog APM, Dynatraceagainst: AppDynamicsDynatraceChangedagainst: AppDynamicsDatadog APM, New Relicagainst: AWS X-Ray, CloudWatch, Grafana PyroscopeNew Relicagainst: Grafana Cloudno first choiceagainst: Dynatrace, New Relic
One alternative
New RelicTwo alternatives
Datadog APM, New RelicThree alternatives
AppDynamics, Dynatrace, Elastic APMOne alternative
DynatraceGemini 3.5 FlashDynatraceDynatraceHeldDynatraceagainst: Splunk Observability CloudDynatraceagainst: Datadog APM, New Relicno first choiceagainst: Datadog APMagainst: AWS CloudWatch Container Insights / X-Ray, AppDynamics, AppSignal, Azure Monitor, Broadcom DX APM, Datadog APM, Grafana Cloud, Jaeger, Prometheus, Raygun, Scout APM, Splunk
Four alternatives
Datadog APM, Grafana Cloud, New Relic, SplunkThree alternatives
Datadog APM, New Relic, SplunkFour alternatives
Datadog APM, Grafana Labs, IBM Instana, New RelicFive alternatives
Coroot, CubeAPM, Grafana Cloud, Grafana LGTM Stack, SigNozPerplexity SonarDynatraceDynatraceHeldDatadog APM, DynatraceCubeAPMagainst: AppDynamics, Dynatraceno first choiceagainst: open-source APM
Two alternatives
AppDynamics, New RelicTwo alternatives
AppDynamics, Datadog APMFive alternatives
AppDynamics, Elastic Observability, Honeycomb, IBM Instana, New RelicOne alternative
Datadog APMGrok 4.1 FastDynatraceDynatraceHeldagainst: AppDynamics, SplunkDynatraceNew Relicagainst: AppDynamics, Datadog APM, DynatraceDatadog APM, New Relicagainst: Datadog APM, Elastic APM, Jaeger, New Relic, Prometheus + Grafana, Zipkin
Three alternatives
AppDynamics, Datadog APM, New RelicTwo alternatives
Datadog APM, New RelicFour alternatives
Datadog APM, IBM Instana, New Relic, SplunkThree alternatives
CubeAPM, ManageEngine Applications Manager, Middleware.ioTwo alternatives
Atatus, Scout APMMistral SmallAppDynamicsno first choiceChangedDynatraceagainst: Grafana + PrometheusCubeAPM, Middleware.ioagainst: AppDynamics, Datadog APM, Dynatraceno first choiceagainst: Datadog APM, New Relic, Sumo Logic
Six alternatives
AppDynamics, Datadog APM, IBM Instana, New Relic, Site24x7, Splunk Observability CloudOne alternative
Grafana CloudDeepSeek V4 FlashDynatraceDynatraceHeldDynatraceNew Relicagainst: Datadog APMno first choiceagainst: AppDynamics, Datadog APM, Grafana Cloudagainst: AppDynamics, Datadog APM, New Relic
Two alternatives
Datadog APM, New RelicOne alternative
Datadog APMSeven alternatives
AppDynamics, Datadog APM, Elastic APM, Grafana Cloud, IBM Instana, New Relic, Splunk Observability CloudTwo alternatives
AppDynamics, DynatraceLlama 4 MaverickAppDynamicsno first choiceChangedMiddleware.iono first choiceno first choiceagainst: Datadog APM, Dynatrace
Three alternatives
Datadog APM, Dynatrace, New RelicQwen 3.7 FlashDatadog APMagainst: Splunk Observability CloudDatadog APMHeldagainst: Elastic APM, Grafana Cloud, OpenTelemetryDynatraceAppDynamicsagainst: Datadog APM, Dynatrace, New Relicno first choiceagainst: Broadcom Layer7 API Gateway, Datadog APM, IBM Tivoli, New Relic, Pure Prometheus/Grafana + ELK Stacks, Splunk, TraceX
Two alternatives
Dynatrace, New RelicThree alternatives
AppDynamics, Dynatrace, New RelicThree alternatives
AppDynamics, IBM Instana, New RelicOne alternative
Elastic APMKimi K2DynatraceDynatraceHeldDatadog APM, DynatraceDynatraceagainst: Datadog APM, New Relicno first choiceagainst: AppDynamicsagainst: AppDynamics, Datadog APM, Dynatrace, New Relic
Three alternatives
AppDynamics, Datadog APM, New RelicThree alternatives
AppDynamics, Datadog APM, New RelicFour alternatives
AppDynamics, Grafana Cloud, IBM Instana, New RelicOne alternative
AppDynamicsThree alternatives
Datadog APM, Dynatrace, New RelicGLM 4.7 FlashXDynatraceDynatraceHeldno first choiceLogit.ioagainst: Datadog APM, Dynatraceno first choiceagainst: Jaeger, Zipkin
Two alternatives
Datadog APM, New RelicThree alternatives
Datadog APM, New Relic, Splunk Observability CloudThree alternatives
Atatus, Grafana Cloud, New RelicMiniMax M2.5DynatraceAppDynamics, Datadog APMChangedno first choiceScout APMagainst: Datadog APM, Dynatrace, New Relicno first choicenothing named
Three alternatives
AppDynamics, Datadog APM, New RelicTwo alternatives
Dynatrace, Splunk Observability CloudTwo alternatives
CubeAPM, Middleware.ioGPT-6 LunaDatadog APMDynatraceChangedDatadog APM, New RelicDynatrace Platform Subscriptionagainst: Datadog APMno first choiceagainst: AWS CloudWatch Application Signals, Datadog APM, Dynatrace, New Relic
Two alternatives
Dynatrace, New RelicTwo alternatives
Datadog APM, New RelicFive alternatives
Dynatrace, Elastic Observability, Grafana Cloud, Honeycomb, IBM InstanaMuse Glimmer 30BDynatraceDynatraceHeldDatadog APM, DynatraceCubeAPMagainst: Datadog APM, New Relicno first choiceagainst: AppDynamics, Datadog APM, Dynatrace, New Relic
Three alternatives
AppDynamics, Datadog APM, New RelicThree alternatives
AppDynamics, Datadog APM, New RelicThree alternatives
AppDynamics, New Relic, Splunk Observability CloudTwo alternatives
Coralogix, 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. 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 08:44 | yes | 9 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:49 | yes | 2 | 4 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:54 | yes | 11 | 24 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 09:04 | yes | 17 | 5 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:23 | yes | 22 | 7 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:46 | yes | 5 | 3 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:52 | yes | 21 | 29 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:11 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:17 | yes | 5 | 20 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:45 | yes | 15 | 22 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:09 | yes | 14 | 57 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:11 | yes | 14 | 50 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:27 | yes | 4 | 11 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:03 | yes | 11 | 29 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:28 | yes | 9 | 8 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:59 | yes | 5 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:09 | yes | 8 | 24 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 13:18 | yes | 18 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:42 | yes | 14 | 6 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:44 | no | 0 | 2 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:25 | yes | 24 | 30 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:50 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:04 | no | 0 | 34 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:04 | yes | 19 | 23 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:25 | yes | 18 | 52 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:05 | yes | 10 | 38 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:50 | yes | 3 | 20 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:15 | yes | 14 | 22 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:27 | yes | 9 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:22 | yes | 6 | 9 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:56 | yes | 16 | 27 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 09:11 | yes | 18 | 4 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:03 | yes | 21 | 15 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:50 | yes | 9 | 9 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:03 | yes | 23 | 52 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:24 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:10 | yes | 5 | 11 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:28 | yes | 15 | 24 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:15 | yes | 22 | 67 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:50 | yes | 11 | 14 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:55 | yes | 10 | 32 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:56 | yes | 11 | 26 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:45 | yes | 16 | 10 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:22 | yes | 3 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:37 | yes | 24 | 62 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 09:04 | yes | 19 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:48 | yes | 20 | 6 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 13:07 | yes | 9 | 6 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:25 | yes | 23 | 28 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:26 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:01 | no | 0 | 31 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 13:35 | yes | 20 | 20 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 13:40 | yes | 24 | 40 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:02 | yes | 13 | 57 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:12 | yes | 2 | 13 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:05 | yes | 12 | 24 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:26 | no | 0 | 5 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:37 | yes | 4 | 12 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:35 | no | 0 | 16 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 10:45 | yes | 19 | 6 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:45 | yes | 18 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:35 | no | 0 | 9 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:07 | yes | 22 | 42 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:15 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:04 | no | 0 | 31 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:55 | yes | 20 | 33 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:52 | yes | 9 | 34 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:27 | yes | 5 | 20 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:54 | yes | 4 | 21 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:55 | yes | 13 | 21 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:26 | yes | 17 | 10 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 13:14 | yes | 5 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:42 | yes | 16 | 26 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 09:55 | yes | 18 | 5 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:19 | yes | 19 | 10 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:46 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:23 | yes | 25 | 25 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:44 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:59 | no | 0 | 40 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 13:33 | yes | 23 | 45 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:58 | yes | 13 | 159 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:24 | yes | 17 | 28 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:37 | yes | 4 | 32 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:29 | yes | 23 | 36 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
Cisco AppDynamics read as AppDynamics
Datadog read as Datadog APM
Elastic read as Elastic APM
Elastic Cloud (formerly ELK) read as Elastic APM
Grafana read as Grafana Cloud
Grafana (LGTM stack) read as Grafana Cloud
ManageEngine read as ManageEngine Applications Manager
SolarWinds read as SolarWinds Observability
Splunk APM read as Splunk Observability Cloud
Splunk Observability Cloud APM read as Splunk Observability Cloud
Unresolved, counted raw
AWS CloudWatch Application Signals
AWS CloudWatch Container Insights / X-Ray
BMC Helix Operations Management with AIOps
Coroot
Dynatrace Platform Subscription (DPS)
Grafana Pyroscope
Pure Prometheus/Grafana + ELK Stacks (The DIY Approach)
TraceX
eG Innovations
open-source APM
Discontinued, still offered
No shut-down product was recommended here.