October 2026 Edition, published · The permanent record of that edition, superseded since. The current standing is on the category page →
Index › GTM › GTM data and infrastructure › Product analytics › Enterprise · October 2026 Edition

Product analytics for enterprise buyers

Asked as “product analytics platform”, and as “product analytics tool”, on behalf of an enterprise B2B company. 61 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
56%
Clear leader
56Amplitude18Pendo13Mixpanel13others

56% of first choices, clear leader.

Since September 2026▲+4Since September 2026: 53% → 57%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Amplitude held the lead, +4 points on 53%, 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 an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Amplitude56%19%78endorsed leader▲+4Since September 2026: 53% → 57%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.53% → 57%
02Pendo18%11%63accepted challenger▼−14Since September 2026: 31% → 17%, −14 points. Past the 11-point floor: movement. Read over the models both editions asked.31% → 17%
03Mixpanel13%25%72criticized challenger▲+5Since September 2026: 8% → 13%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.8% → 13%
04Gainsight PX5%0%13accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 4%
05PostHog2%17%36accepted 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 six products at 0%, ordered by negative rate
11Google Analytics 4 Lab in the set0%83%12criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
10Adobe Analytics0%50%16criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
09Heap0%38%40criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
06Contentsquare0%11%18accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
07Fullstory0%11%18accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
08Quantum Metric0%0%10accepted 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 can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. 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.

Google Analytics 4 is made by Google, whose model Gemini 3.5 Flash is in the set. On the four share prompts that model made it the first choice zero times of 4; the other thirteen models zero times of 52. Lab treatment is defined on the method page; the row is marked, not excluded.

Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not enterprise.
All fifteen head-to-head pages: the top six 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
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative70%
Key
01Amplitude56%
02Pendo18%
03Mixpanel13%
04Gainsight PX5%
05PostHog2%
06Contentsquare0%
07Fullstory0%
08Quantum Metric0%
09Heap0%
10Adobe Analytics0%
11Google Analytics 40%

What they warned about

Five of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, Gemini 3.5 Flash, Grok 4.20, Mistral Small, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, MiniMax M2.5 and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Amplitude
19%
15 of 78 labels negative · 13 of 14 models
“it's described as having a steep learning curve and can feel very complex, with mentions of data not always matching internal databases and potentially getting expensive as usage grows.” Claude Haiku 4.5, negative prompt
Mixpanel
25%
18 of 72 labels negative · 12 of 14 models · 2 hard negative
“Platforms to Avoid or Use with Caution ... Mixpanel ... Best suited for: Series A–B / mid-market, not enterprise-scale” GLM 4.7 FlashX, negative prompt
Heap
38%
15 of 40 labels negative · 10 of 14 models · 3 hard negative
“Avoid Heap unless you have strong data governance (auto-capture causes unpredictable overages)” Kimi K2, budget prompt
Google Analytics 4
83%
10 of 12 labels negative · 9 of 14 models · 7 hard negative
“the event model was retrofitted onto a session-first architecture, making product-level behavioral analysis awkward compared to purpose-built tools, with limited cohort analysis” Claude Haiku 4.5, negative prompt

What they cite

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.

Sites the answers cite

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. 1146 links across 256 sites, every framing counted. Ranked by the number of answers carrying the site or page. 19 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 · Amplitude58 answers · 97 citations · 13 models
vendor site · Pendo42 answers · 53 citations · 13 models
vendor site · Gainsight40 answers · 47 citations · 11 models
vendor site · Mixpanel35 answers · 48 citations · 12 models
35 answers · 35 citations · 10 models
vendor site · checkthat.ai34 answers · 47 citations · 10 models
vendor site · Guideflow32 answers · 36 citations · 11 models
vendor site · CleverX27 answers · 34 citations · 10 models
vendor site · Userpilot24 answers · 30 citations · 10 models
vendor site · LinkedIn23 answers · 26 citations · 9 models
22 answers · 33 citations · 9 models
vendor site · Fullstory22 answers · 25 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 product analytics platform”, “product analytics platform”. 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
Amplitude amplitude.com56%41874,0005,691373,273$207272
Pendo pendo.io18%40912,10076119,185$3,60993
Mixpanel mixpanel.com13%46712,10045820,284$45811
Gainsight gainsight.com
Gainsight PX 5%, Gainsight 2%
7%278,10042659,569589
PostHog posthog.com2%42033,10027125,936120
OpenPanel openpanel.dev2%2
Optimizely Warehouse-Native Analytics2%
Qrvey qrvey.com2%626001,992$2567
Contentsquare contentsquare.com0%1842,900101149,92586
Fullstory fullstory.com0%2175,400159141,869$348148

Google's top ten for the two searches hold 16 sites; 4 of them are among the sites the models cited here (amplitude.com, fullstory.com, gainsight.com, userpilot.com). The first result for “best product analytics platform” is domo.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 product analytics platform for an enterprise B2B company?”Paraphrase“Which product analytics tool would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade product analytics platforms and how do they differ?”Budget-constrained“What is the best product analytics 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 a product analytics platform. What should we look at?”Negative“Which product analytics platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5Amplitude
Two alternativesGainsight PX, Pendo
Amplitude, MixpanelChanged
Three alternativesHeap, Matomo, Pendo
against: Google Analytics 4
Amplitude
Three alternativesHeap, Mixpanel, Pendo
Amplitude
Two alternativesGrowthBook, Mixpanel
no first choiceagainst: Adobe Analytics, Amplitude, Google Analytics 4, Mixpanel
GPT-5.4 miniAmplitude
Three alternativesAdobe Analytics, Mixpanel, Pendo
AmplitudeHeld
Two alternativesMixpanel, Pendo
Amplitude, Mixpanel
Three alternativesFullstory, Pendo, Quantum Metric
against: Adobe Product Analytics / Adobe Analytics ecosystem
Amplitudeagainst: Mixpanel, Pendono first choicenothing named
Gemini 3.5 FlashAmplitude, Pendo
Two alternativesGainsight PX, Mixpanel
AmplitudeChanged
Two alternativesMixpanel, Pendo
Amplitude
Five alternativesContentsquare, Heap, Mixpanel, Pendo, PostHog
Optimizely Warehouse-Native Analytics
Four alternativesAmplitude, Mitzu, Mixpanel, PostHog
Amplitude
Two alternativesMixpanel, PostHog
against: Heap
against: Amplitude, Contentsquare, Google Analytics 4, Heap, Looker, Mixpanel, Pendo, PowerBI, Self-Hosted PostHog, Tableau
Perplexity SonarAmplitude
Three alternativesContentsquare, Mixpanel, Pendo
AmplitudeHeld
Two alternativesAdobe Analytics, Pendo
Amplitude
Seven alternativesAdobe Analytics, Contentsquare, Fullstory, Heap, Mixpanel, Pendo, PostHog
Mixpanelagainst: Amplitude, Pendono first choiceagainst: Adobe Analytics, Glew, Google Analytics 4, PostHog
Grok 4.20Amplitude, PendoAmplitudeChanged
Two alternativesHeap, Pendo
against: Mixpanel
Amplitude
Five alternativesContentsquare, Heap, Mixpanel, Pendo, PostHog
Pendo
One alternativePostHog
against: Heap, Mixpanel
Amplitude
Three alternativesMixpanel, Pendo, PostHog
against: Adobe Analytics, Amplitude, Chartbeat, Google Analytics 4, Heap, Looker, Matomo, Mixpanel, PostHog, Tableau
Mistral SmallAmplitude
Three alternativesHeap, Mixpanel, Pendo
Gainsight, PendoChanged
Two alternativesAmplitude, Mixpanel
Amplitude, Pendo
Four alternativesContentsquare, Fullstory, Heap, Mixpanel
Amplitude, Mixpanel
Two alternativesGainsight PX, Statsig
no first choiceagainst: Adobe Analytics, Amplitude, Google Analytics 4, Heap, Mixpanel
DeepSeek V4 FlashAmplitude
Three alternativesMixpanel, Pendo, PostHog
AmplitudeHeld
Two alternativesMixpanel, Pendo
Amplitude
Seven alternativesFullstory, Glassbox, Heap, Mixpanel, Pendo, PostHog, Quantum Metric
Pendo
One alternativeAmplitude
against: Mixpanel
Amplitude, Mixpanel
Two alternativesPendo, PostHog
against: Heap
against: Adobe Analytics, Amplitude, Google Analytics 360, Heap
Llama 4 MaverickAmplitudeno first choiceChangedAmplitude
Two alternativesMixpanel, Quantum Metric
no first choiceagainst: AmplitudeAmplitude
Two alternativesContentsquare, Pendo
against: Adobe Analytics, Amplitude
Qwen 3.7 FlashAmplitude
Four alternativesFullstory, Heap, Mixpanel, Pendo
MixpanelChanged
Three alternativesAmplitude, Pendo, PostHog
Amplitude
Four alternativesHeap, Mixpanel, Pendo, PostHog
PostHog
Three alternativesAmplitude, Metabase, Pendo
against: Mixpanel
Amplitude
Three alternativesHeap, Mixpanel, PostHog
against: Amplitude, Heap, Mixpanel, PostHog
Kimi K2Amplitude, Pendo
One alternativeMixpanel
AmplitudeChanged
One alternativeGainsight PX
Amplitude
Six alternativesContentsquare, Fullstory, Heap, Mixpanel, Pendo, Quantum Metric
Gainsight PX, Pendo
Three alternativesAmplitude, PostHog, Statsig
against: Heap
Amplitude, Mixpanel
Two alternativesOptimizely CMS, PostHog
against: Heap, Pendo
against: Amplitude, Google Analytics 4, Heap, Mixpanel, Pendo
GLM 4.7 FlashXAmplitude
Two alternativesMixpanel, Pendo
AmplitudeHeld
Two alternativesPendo, PostHog
Amplitude
Six alternativesFullstory, Heap, Matomo, Mixpanel, PostHog, Statsig
Amplitudeagainst: Fullstory, Heap, Mixpanel, Pendono first choiceagainst: Amplitude, Contentsquare, Fullstory, Google Analytics 4, Looker, Matomo, Mixpanel, Tableau
MiniMax M2.5Gainsight PX, Pendo
Two alternativesAmplitude, Mixpanel
AmplitudeChanged
Three alternativesJune, Pendo, PostHog
Amplitude
Five alternativesContentsquare, Fullstory, Mixpanel, Pendo, Quantum Metric
OpenPanel, Qrvey
Two alternativesMetabase, PostHog
against: Amplitude, Mixpanel
Amplitude, Mixpanel, Pendoagainst: Adobe Analytics, Amplitude, Google Analytics 4, Heap, Mixpanel, PostHog
GPT-6 LunaAmplitude
Two alternativesMixpanel, Pendo
AmplitudeHeld
One alternativeMixpanel
Amplitude, Mixpanel
Four alternativesAdobe Product Analytics / Customer Journey Analytics, Contentsquare Product Analytics, Pendo, PostHog
Mixpanel
One alternativePendo
no first choice
Three alternativesAmplitude, Mixpanel, Pendo
against: Amplitude, Heap, Mixpanel, PostHog
Muse Glimmer 30BGainsight PX, Pendo
Two alternativesAmplitude, Mixpanel
against: June
AmplitudeChanged
Four alternativesAdobe Analytics, June, Pendo, Quantum Metric
Amplitude, Mixpanel
Four alternativesGainsight PX, Heap, Pendo, PostHog
Pendo
One alternativeAmplitude
against: Mixpanel, PostHog
no first choiceagainst: Adobe Analytics, Amplitude, GA360, Google Analytics 4, Heap, Mixpanel, Pendo
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.
Eighty-four rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 11:28yes97 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 10:52yes54 s
Direct recommendationGemini 3.5 Flashgemini-3.5-flash2026-10-01 08:04yes1727 s
Direct recommendationPerplexity Sonarsonar2026-10-01 09:26yes302 s
Direct recommendationGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-10-01 08:38yes238 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-10-01 12:16yes104 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 07:36yes2329 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 09:52yes51 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 12:51no028 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-10-01 11:57yes1321 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 11:08yes2487 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 12:46yes1020 s
Direct recommendationGPT-6 Lunagpt-6-luna2026-10-01 13:02yes313 s
Direct recommendationMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 10:54yes1423 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 10:33no05 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 13:28yes36 s
ParaphraseGemini 3.5 Flashgemini-3.5-flash2026-10-01 08:22yes1524 s
ParaphrasePerplexity Sonarsonar2026-10-01 10:51yes212 s
ParaphraseGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-10-01 13:47yes237 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-10-01 13:59yes54 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 11:54yes2226 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 10:17yes52 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 09:58no028 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-10-01 13:28yes2422 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 10:29yes24275 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 12:15yes1528 s
ParaphraseGPT-6 Lunagpt-6-luna2026-10-01 07:30yes216 s
ParaphraseMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 10:52yes2027 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 09:36yes108 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 11:28yes811 s
ComparativeGemini 3.5 Flashgemini-3.5-flash2026-10-01 14:01yes1829 s
ComparativePerplexity Sonarsonar2026-10-01 11:13yes188 s
ComparativeGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-10-01 08:53yes2111 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-10-01 08:30yes1310 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 09:49yes2547 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 07:26yes52 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 10:35yes524 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-10-01 08:20yes1527 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 08:49yes1538 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 14:05yes2029 s
ComparativeGPT-6 Lunagpt-6-luna2026-10-01 13:14yes630 s
ComparativeMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 12:35yes1332 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 08:01yes1510 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 09:57yes55 s
Budget constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-01 10:41yes2631 s
Budget constrainedPerplexity Sonarsonar2026-10-01 09:26yes163 s
Budget constrainedGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-10-01 12:44yes199 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-10-01 09:01yes158 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 11:45yes2323 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 10:14yes52 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 11:24no038 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-01 11:58yes2521 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 13:12yes2363 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 07:53yes2561 s
Budget constrainedGPT-6 Lunagpt-6-luna2026-10-01 10:08yes222 s
Budget constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 11:03yes1416 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 09:26yes1811 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 08:33yes39 s
Scale constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-01 13:31no019 s
Scale constrainedPerplexity Sonarsonar2026-10-01 09:56yes1810 s
Scale constrainedGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-10-01 07:49yes1811 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-10-01 07:35no08 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 08:22yes2335 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 12:08yes86 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 13:13yes1038 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-01 07:59yes2436 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 11:20yes1133 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 10:31yes2464 s
Scale constrainedGPT-6 Lunagpt-6-luna2026-10-01 08:57yes124 s
Scale constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 10:25yes1325 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 08:29yes913 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 13:58yes37 s
Negative framingGemini 3.5 Flashgemini-3.5-flash2026-10-01 13:44yes1126 s
Negative framingPerplexity Sonarsonar2026-10-01 10:26yes194 s
Negative framingGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-10-01 13:42yes2013 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-10-01 11:08yes1211 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 12:56yes2340 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 13:06yes52 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 10:23yes1048 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-10-01 07:37yes2421 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 13:13yes2141 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 14:04yes2355 s
Negative framingGPT-6 Lunagpt-6-luna2026-10-01 08:32yes524 s
Negative framingMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 12:58yes2046 s

Normalization in this category

Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.

ShowHide
Category-scoped readings
Amplitude read as Amplitude
Amplitude (Enterprise tier) read as Amplitude
Amplitude (Enterprise) read as Amplitude
Unresolved, counted raw
Adobe Product Analytics / Adobe Analytics ecosystem
Adobe Product Analytics / Customer Journey Analytics
Contentsquare Product Analytics (including Heap capabilities)
Kaelio
Optimizely Warehouse-Native Analytics (formerly NetSpring)
Self-Hosted PostHog
Discontinued, still offered
Gemini 3.5 Flash named Indicative as alternative on the negative prompt. Folded into mParticle after acquisition.
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