Observability platforms for enterprise buyers
Asked as “observability platform”, and as “full-stack monitoring platform for logs, metrics and traces”, 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
37%
Contested · Dynatrace 22%
37Datadog22Dynatrace12New Relic29others
37% of first choices, contested.
Since September 2026=heldSince September 2026: 36% → 36%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Datadog held the lead, ±0 points on 36%, 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
Grafana39%Contested▲+5Since September 2026: 32% → 37%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketGrafana27%Contested↗new leaderNew leader since September 2026: New Relic (31%) replaces Grafana (29% then, 24% now), 7 points clear, inside the 11-point floor.Standing →Enterprise
Datadog37%Contested=heldSince September 2026: 36% → 36%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This page
Grafana39%Contested▲+5Since September 2026: 32% → 37%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketGrafana27%Contested↗new leaderNew leader since September 2026: New Relic (31%) replaces Grafana (29% then, 24% now), 7 points clear, inside the 11-point floor.Standing →EnterpriseDatadog37%Contested=heldSince September 2026: 36% → 36%, ±0 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
01Datadog37%34%73criticized default=heldSince September 2026: 36% → 36%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.36% → 36%
Datadog37%34%73criticized default=heldSince September 2026: 36% → 36%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.36% → 36%02
Dynatrace22%16%61accepted challenger▼−2Since September 2026: 24% → 22%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.24% → 22%
Dynatrace22%16%61accepted challenger▼−2Since September 2026: 24% → 22%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.24% → 22%03
New Relic12%20%61accepted challenger▲+6Since September 2026: 5% → 11%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.5% → 11%
New Relic12%20%61accepted challenger▲+6Since September 2026: 5% → 11%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.5% → 11%04
Splunk Observability Cloud6%24%37accepted challenger▲+2Since September 2026: 5% → 7%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.5% → 7%
Splunk Observability Cloud6%24%37accepted challenger▲+2Since September 2026: 5% → 7%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.5% → 7%05
Elastic Observability2%8%25accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
Elastic Observability2%8%25accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%06
OpenObserve2%0%10accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
OpenObserve2%0%10accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%07
Splunk2%35%20criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
Splunk2%35%20criticized 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
08Grafana0%12%33accepted challenger▼−7Since September 2026: 7% → 0%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.7% → 0%
Grafana0%12%33accepted challenger▼−7Since September 2026: 7% → 0%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.7% → 0%09
Chronosphere0%0%21accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Chronosphere0%0%21accepted 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
Grafana Labs0%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%
Grafana Labs0%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%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
Grafana vs OpenObserveGrafana vs DynatraceGrafana vs HoneycombGrafana vs PrometheusNew Relic vs DatadogNew Relic vs SigNozNew Relic vs OpenObserveNew Relic vs DynatraceNew Relic vs HoneycombNew Relic vs PrometheusDatadog vs SigNozDatadog vs OpenObserveDatadog vs DynatraceDatadog vs HoneycombDatadog vs PrometheusSigNoz vs OpenObserveSigNoz vs DynatraceSigNoz vs HoneycombSigNoz vs PrometheusOpenObserve vs DynatraceOpenObserve vs HoneycombOpenObserve vs PrometheusDynatrace vs HoneycombDynatrace vs PrometheusHoneycomb 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 →
01020304050607080910Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Datadog37%
Datadog37%02Dynatrace22%
Dynatrace22%03New Relic12%
New Relic12%04Splunk Observability Cloud6%
Splunk Observability Cloud6%05Elastic Observability2%
Elastic Observability2%06OpenObserve2%
OpenObserve2%07Splunk2%
Splunk2%08Grafana0%
Grafana0%09Chronosphere0%
Chronosphere0%10Grafana Labs0%
Grafana Labs0%What they warned about
Three of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Grok 4.1 Fast, Mistral Small, DeepSeek V4 Flash, 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.
Datadog34%
25 of 73 labels negative · 13 of 14 models · 3 hard negative
“unpredictable, volatile billing... When to avoid: Cost-sensitive orgs or any enterprise that cannot tolerate "observability surprise bills."” GLM 4.7 FlashX, negative prompt
New Relic20%
12 of 61 labels negative · 9 of 14 models · 2 hard negative
“repeated complaints about expensive seat licenses and complex add-on pricing... can exceed $4.1 million per year just in seat licenses” GLM 4.7 FlashX, negative prompt
Splunk Observability Cloud24%
9 of 37 labels negative · 8 of 14 models · 3 hard negative
“legacy pricing structure charges per gigabyte of data ingested daily, which conflicts with modern cloud-native applications” Muse Glimmer 30B, negative prompt
Dynatrace16%
10 of 61 labels negative · 8 of 14 models · 1 hard negative
“often cited as expensive and complex to operate at scale” Muse Glimmer 30B, 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
77 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. 1130 links across 223 sites, every framing counted. Ranked by the number of answers carrying the site or page. 12 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 Relic44 answers · 77 citations · 13 models
vendor site · OpenObserve37 answers · 47 citations · 12 models
vendor site · Metoro31 answers · 38 citations · 12 models
vendor site · Uptrace29 answers · 36 citations · 12 models
25 answers · 26 citations · 12 models
vendor site · Augment Code23 answers · 23 citations · 10 models
vendor site · Guideflow22 answers · 22 citations · 8 models
vendor site · Motadata21 answers · 24 citations · 11 models
vendor site · Splunk20 answers · 37 citations · 8 models
vendor site · groundcover18 answers · 32 citations · 11 models
vendor site · Grafana18 answers · 27 citations · 8 models
18 answers · 18 citations · 8 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.
27 answers · 12 models
25 answers · 12 models
23 answers · 10 models
23 answers · 11 models
21 answers · 7 models
17 answers · 10 models
16 answers · 9 models
16 answers · 10 models
15 answers · 7 models
13 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 “best observability platform”, “observability platform”, “observability platforms”. 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 | 37% | 585 | 74,000 | 3,541 | 159,408 | $633 | 120 | |
| Dynatrace dynatrace.com | 22% | 700 | 22,200 | 1,106 | 62,738 | $3,941 | 120 | |
| New Relic newrelic.com | 12% | 629 | 14,800 | 843 | 83,276 | $412 | 89 | 4 |
| groundcover groundcover.com | 12% | 24 | 14,800 | 1,328 | 9,109 | $792 | 24 | |
| Splunk parent site Splunk Observability Cloud 6% | 6% | 172 | 40,500 | 6,832 | ||||
| Honeycomb honeycomb.io | 4% | 89 | 135,000 | 13,732 | 6,603 | 65 | ||
| Elastic elastic.co Elastic Observability 2% | 2% | 109 | 74,000 | 34,672 | 208,306 company | 105 | ||
| OpenObserve openobserve.ai | 2% | 157 | 1,600 | 9 | 4,825 | 7 | 8 | |
| SigNoz signoz.io | 2% | 208 | 2,400 | 52 | 7,244 | 1 | ||
| Splunk splunk.com | 2% | 287 | 40,500 | 6,832 | 892,906 | 120 |
Google's top ten for the three searches hold 17 sites; 4 of them are among the sites the models cited here (metoro.io, motadata.com, newrelic.com, openobserve.ai). The first result for “best observability platform” is reddit.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 observability platform for an enterprise B2B company?”Paraphrase“Which full-stack monitoring platform for logs, metrics and traces would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade observability platforms and how do they differ?”Budget-constrained“What is the best observability platform 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 observability platform. What should we look at?”Negative“Which observability platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5no first choiceDatadogChangedDatadog, Dynatracegroundcoveragainst: Datadogno first choiceagainst: Datadog, Elastic Observability, ServiceNow's Cloud Observability
Four alternatives
Dynatrace, Grafana, New Relic, Splunk Observability CloudThree alternatives
Grafana, New Relic, Splunk Observability CloudThree alternatives
Metoro, New Relic, Splunk Observability CloudGPT-5.4 miniDatadogDynatraceChangedDatadog, Dynatraceagainst: IBM Observability / InstanaNew Relicagainst: Splunk Observability Cloudno first choiceagainst: Splunk Observability Cloud
Four alternatives
Dynatrace, Grafana Labs, New Relic, SplunkThree alternatives
Datadog, New Relic, Splunk Observability CloudSix alternatives
Chronosphere, Elastic Observability, Grafana, New Relic, Splunk, Splunk Observability CloudOne alternative
DynatraceGemini 3.5 FlashHoneycombDynatraceChangedno first choiceHoneycombagainst: Datadog, Grafana, New Relicno first choiceagainst: Datadogagainst: AppDynamics, BMC, Datadog, Elasticsearch, IBM Instana, New Relic, OpenText, Self-hosted DIY Grafana/Prometheus/Jaeger/Loki stacks, Splunk Observability Cloud
Four alternatives
Chronosphere, Datadog, Dynatrace, GrafanaThree alternatives
Datadog, Grafana, New RelicThree alternatives
Coralogix, Observe, SigNozThree alternatives
Dynatrace, Grafana, New RelicPerplexity SonarDatadogDatadogHeldDynatracegroundcoverno first choiceagainst: Datadog, Dynatrace, New Relic, Splunk Observability Cloud
Four alternatives
Dynatrace, Elastic Observability, OpenObserve, Splunk Observability CloudTwo alternatives
Dynatrace, Splunk Observability CloudTwo alternatives
Datadog, Splunk Observability CloudOne alternative
New RelicGrok 4.1 FastDynatraceDatadogChangedno first choiceDynatraceagainst: Datadog, New Relicno first choiceagainst: Datadog, Dynatrace, Elastic Stack, New Relic, Prometheus + Grafana, Splunk Observability Cloud
Two alternatives
Datadog, New RelicThree alternatives
Dynatrace, New Relic, Splunk Observability CloudOne alternative
groundcoverMistral SmallDatadog, DynatraceElastic Observability, Splunk Observability CloudChangedno first choicegroundcoveragainst: Datadog, New Relicno first choiceagainst: Azure Monitor, Datadog, Honeycomb, IBM Instana, Sentry
Two alternatives
New Relic, Splunk Observability CloudOne alternative
DynatraceOne alternative
DynatraceDeepSeek V4 FlashDatadogDatadog, DynatraceChangedDatadogNew Relicagainst: Datadog, Dynatraceno first choiceagainst: Datadog, New Relic, Splunk, Splunk Observability Cloud
Three alternatives
Dynatrace, Grafana, New RelicOne alternative
New RelicSix alternatives
Chronosphere, Dynatrace, Elastic Observability, Grafana Labs, New Relic, Splunk Observability CloudLlama 4 MaverickDatadogDynatraceChangedDatadog, DynatracegroundcoverOpenObserveagainst: Datadog, Dynatrace
Three alternatives
Datadog, Middleware.io, OpenObserveOne alternative
Splunk Observability CloudFour alternatives
Chronosphere, Confident AI, Netdata, NudgeBeeQwen 3.7 FlashDatadogDatadogHeldagainst: SplunkDatadog, Dynatraceagainst: GrafanaNew Relicno first choiceagainst: Datadog, Dynatrace, Elasticsearch / OpenSearch, Splunkagainst: Datadog, Dynatrace, Elastic Stack, Grafana Loki, Jaeger, Prometheus, Splunk, Tempo
Three alternatives
Dynatrace, New Relic, SplunkThree alternatives
Dynatrace, Grafana, New RelicTwo alternatives
New Relic, Splunk Observability CloudThree alternatives
Datadog, Elastic Observability, GrafanaKimi K2Datadog, New RelicDatadogChangedno first choiceNew Relic, SigNozagainst: Datadog, Dynatrace, Splunkno first choiceagainst: Datadog, New Relic, Splunk
Four alternatives
Chronosphere, Dynatrace, Grafana Labs, SplunkOne alternative
DynatraceSix alternatives
Chronosphere, Datadog, Dynatrace, Grafana Labs, New Relic, Splunk Observability CloudTwo alternatives
Grafana, ObserveGLM 4.7 FlashXDatadog, DynatraceSplunk Observability CloudChangedDatadog, DynatraceDynatraceagainst: Datadogno first choiceagainst: Datadog, Grafana, Grafana Loki, Jaeger, New Relic, Prometheus, Splunk Observability Cloud, Tempo
Three alternatives
Grafana, New Relic, Splunk Observability CloudThree alternatives
Datadog, Dynatrace, Elastic ObservabilitySix alternatives
Chronosphere, Elastic Observability, Grafana, Lightstep, New Relic, Splunk Observability CloudTwo alternatives
Grafana, New RelicMiniMax M2.5DynatraceDatadog, Splunk Observability CloudChangedno first choicegroundcoveragainst: Datadog, Dynatrace, Grafana, New Relic, OneUptime, SigNoz, SplunkDatadog, Splunkagainst: Datadog, Dynatrace, New Relic
Three alternatives
Datadog, Grafana Labs, SplunkOne alternative
New RelicOne alternative
NetdataTwo alternatives
Chronosphere, Grafana LabsGPT-6 LunaDatadogDatadogHeldDatadogNew Relicagainst: Datadogno first choiceagainst: Datadog, New Relic, Splunk Observability Cloud
Three alternatives
Dynatrace, Grafana, HoneycombTwo alternatives
Grafana, New RelicSix alternatives
Dynatrace, Elastic Observability, Grafana Labs, Honeycomb, New Relic, Splunk Observability CloudOne alternative
GrafanaMuse Glimmer 30BDynatraceDatadogChangedDatadoggroundcoveragainst: Datadogno first choiceagainst: Amazon CloudWatch, Datadog, Dynatrace, Elastic Observability, Splunk Observability Cloud
Two alternatives
Datadog, New RelicTwo alternatives
Dynatrace, New RelicFive alternatives
Dynatrace, Elastic Observability, Grafana Labs, New Relic, Splunk Observability CloudOne alternative
ObserveBold 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 07:50 | no | 0 | 5 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:52 | yes | 3 | 43 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:52 | yes | 10 | 22 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 08:46 | yes | 19 | 4 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:24 | yes | 23 | 7 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:04 | yes | 5 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:45 | yes | 23 | 37 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:23 | yes | 5 | 1 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:05 | no | 0 | 28 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:26 | yes | 10 | 24 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:10 | yes | 24 | 52 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:25 | yes | 9 | 29 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 13:41 | yes | 5 | 20 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:27 | yes | 15 | 20 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:00 | yes | 15 | 10 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:49 | yes | 4 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:18 | yes | 11 | 24 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 07:55 | yes | 17 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:45 | yes | 25 | 9 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:04 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:22 | yes | 24 | 29 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:14 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:36 | no | 0 | 39 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:03 | yes | 13 | 29 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:50 | yes | 24 | 46 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:58 | yes | 10 | 59 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:03 | yes | 4 | 12 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:59 | yes | 15 | 19 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:26 | yes | 18 | 12 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:42 | yes | 6 | 13 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:47 | yes | 11 | 30 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 10:39 | yes | 18 | 6 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 13:28 | yes | 25 | 11 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:41 | yes | 10 | 9 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:15 | yes | 24 | 65 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:34 | yes | 5 | 1 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:13 | yes | 12 | 69 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:19 | yes | 21 | 40 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 13:42 | yes | 20 | 37 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:58 | yes | 15 | 31 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:03 | yes | 7 | 37 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:43 | yes | 13 | 36 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:44 | yes | 9 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:51 | yes | 5 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:56 | yes | 17 | 25 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 12:57 | yes | 19 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:35 | yes | 20 | 9 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 13:25 | yes | 5 | 3 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:45 | yes | 20 | 26 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:33 | yes | 5 | 1 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:22 | no | 0 | 34 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:47 | yes | 24 | 27 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:28 | yes | 24 | 56 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:56 | yes | 18 | 89 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:41 | yes | 4 | 15 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:22 | yes | 16 | 29 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:37 | yes | 17 | 12 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:27 | no | 0 | 10 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:08 | yes | 8 | 29 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 11:15 | yes | 20 | 7 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:44 | yes | 20 | 9 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:26 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:49 | yes | 25 | 49 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:14 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:33 | no | 0 | 35 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:14 | yes | 25 | 39 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:53 | yes | 14 | 83 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:13 | yes | 15 | 35 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 13:03 | yes | 4 | 26 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:46 | yes | 14 | 24 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:01 | yes | 19 | 10 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:49 | yes | 4 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:09 | yes | 27 | 32 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 12:15 | yes | 25 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:22 | yes | 23 | 12 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:21 | yes | 10 | 10 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:37 | yes | 25 | 37 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:51 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:30 | yes | 25 | 68 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:59 | yes | 22 | 23 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 13:42 | yes | 24 | 107 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:59 | yes | 10 | 23 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:26 | yes | 5 | 20 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:36 | yes | 25 | 34 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
ELK Stack read as Elastic Stack
Elastic read as Elastic Observability
Elastic (Elastic Observability) read as Elastic Observability
Elastic (OpenSearch/Elasticsearch) read as Elastic Observability
Elastic Cloud read as Elastic Observability
Grafana Cloud read as Grafana
Grafana Cloud Enterprise read as Grafana
Grafana Enterprise read as Grafana
Grafana Stack read as Grafana
Grafana Stack (self-hosted) read as Grafana
IBM read as IBM Instana
Unresolved, counted raw
IBM Observability / Instana
Mercury
NudgeBee
Self-hosted DIY Grafana/Prometheus/Jaeger/Loki stacks (the LGTM stack)
ServiceNow's Cloud Observability (Lightstep)
Stackdriver
Discontinued, still offered
No shut-down product was recommended here.