September 2026 Edition, published · The permanent record of that edition, superseded since. The current standing is on the category page →
Index › GTM › Marketing › Attribution & MMM · September 2026 Edition

Attribution and marketing mix modeling

Asked as “marketing attribution and marketing mix modeling platform”, and as “attribution and MMM tool”, on behalf of a mid-market B2B company. 68 first choices recorded across the direct, paraphrase, budget and scale prompts, twelve models each.

Gane, the publisher, sells software in this category. Every product here is measured by the same method as in every other category. How the conflict is handled.

Standing · first-choice share
29%
Contested · Google Analytics 4 12%
29Dreamdata12Google Analytics 409Recast50others

30% of first choices with no negative labels at all across 22. The incumbents are the criticized half of this category: GA4 at 43% negative, Adobe Marketo Measure at 57%.

ShowinginAll 112 categories in the September 2026 Edition →

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 twelve models, for a mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
01Dreamdata29%7%43accepted challenger
02Google Analytics 4 Lab in the set12%19%26accepted challenger
03Recast9%9%35accepted challenger
04Measured4%8%24accepted challenger
05Triple Whale4%28%29criticized challenger
06HockeyStack3%10%29accepted challenger
07Google Meridian Lab in the set3%24%37accepted challenger
08CaliberMind3%0%10accepted challenger
09Improvado3%0%12accepted challenger
10SegmentStream3%17%18accepted challenger
11Rockerbox3%23%22accepted challenger
12Mutinex3%0%10accepted challenger
13Ruler Analytics1%12%24accepted challenger
14HubSpot Marketing Hub1%11%19accepted challenger
15Factors.ai1%0%13accepted challenger
16Meta Robyn1%26%31criticized challenger
17Lifesight1%14%14accepted challenger
Show the five products at 0%, ordered by negative rate
22Analytic Partners0%47%15criticized challenger
19Northbeam0%31%29criticized challenger
21Adobe Marketo Measure0%30%10criticized challenger
18Cometly0%21%29accepted challenger
20Adobe Mix Modeler0%18%11accepted challenger
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 eleven models eight times of 44. Google Meridian 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 one time of 4; the other eleven models one time of 44. Lab treatment is defined on the method page; the row is marked, not excluded.

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 →
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Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Dreamdata29%
02Google Analytics 412%
03Recast9%
04Measured4%
05Triple Whale4%
06HockeyStack3%
07Google Meridian3%
08CaliberMind3%
09Improvado3%
10SegmentStream3%
11Rockerbox3%
12Mutinex3%
13Ruler Analytics1%
14HubSpot Marketing Hub1%
15Factors.ai1%
16Meta Robyn1%
17Lifesight1%
18Cometly0%
19Northbeam0%
20Adobe Mix Modeler0%
21Adobe Marketo Measure0%
22Analytic Partners0%

What they warned about

Three of twelve models held their first choice under the paraphrase. Claude Haiku 4.5, Gemini 3.5 Flash, Perplexity Sonar, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, GLM 4.7 FlashX and MiniMax M2.5 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.
Triple Whale
28%
8 of 29 labels negative · 6 of 12 models · 5 hard negative
“❌ Great for smaller e-commerce stores (Shopify-centric) but lack the deep econometrics and offline/macro modeling required” Gemini 3.5 Flash, scale prompt
Northbeam
31%
9 of 29 labels negative · 6 of 12 models · 4 hard negative
“none of the premium all-in-one platforms (Rockerbox, Analytic Partners, SegmentStream, Northbeam) make sense on a limited budget” DeepSeek V4 Flash, budget prompt
Google Meridian
24%
9 of 37 labels negative · 6 of 12 models · 1 hard negative
“free/open-source (GA4, Google Meridian: lacks B2B depth)” Grok 4.20, direct prompt
Meta Robyn
26%
8 of 31 labels negative · 6 of 12 models · 1 hard negative
“Meta-authored bias risk: Built by Meta; inherently calibrated to favor Meta channels” Kimi K2, negative prompt

What they cite

Four of the twelve models returned a source list in this edition: four return the pages they cited.

Sites the answers cite

22 of 72 answers in this category came back with a source list, from 4 of 12 models: citations where the model returns them, or the search results it consulted. 338 links across 131 sites, every framing counted. Ranked by the number of answers carrying the site or page. The other 8 models searched through a gateway that returned no source list on this edition.

vendor site · Cometly15 answers · 37 citations · 3 models
vendor site · Improvado15 answers · 20 citations · 3 models
vendor site · HockeyStack8 answers · 11 citations · 3 models
8 answers · 8 citations · 3 models
vendor site · Factors.ai8 answers · 8 citations · 3 models
vendor site · SegmentStream7 answers · 9 citations · 2 models
vendor site · Gartner7 answers · 8 citations · 3 models
vendor site · Funnel6 answers · 6 citations · 3 models
vendor site · Reddit5 answers · 8 citations · 2 models
vendor site · Admetrics5 answers · 6 citations · 2 models
vendor site · MCP Analytics5 answers · 5 citations · 2 models
4 answers · 9 citations · 2 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 marketing attribution and marketing mix modeling platform”, “marketing attribution and marketing mix modeling 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
Dreamdata dreamdata.io29%1511,00064,08820
Google analytics.google.com
Google Analytics 4 12%
12%4739,900348
Recast getrecast.com9%755,40016,4363,1250
Measured measured.com4%83110,000264,52424,514$51313
Triple Whale triplewhale.com4%708,10014711,483$33562
HockeyStack hockeystack.com3%963,600463,06115
Google parent site
Google Meridian 3%
3%10472046
CaliberMind calibermind.com3%1826001506
Improvado improvado.io3%33880285,80969
SegmentStream segmentstream.com3%177007810

Google's top ten for the two searches hold 15 sites; 5 of them are among the sites the models cited here (cometly.com, funnel.io, gartner.com, improvado.io, reddit.com). The first result for “best marketing attribution and marketing mix modeling platform” is cometly.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 marketing attribution and marketing mix modeling platform for a mid-market B2B company?”Paraphrase“Which attribution and MMM tool would you recommend to a mid-sized B2B company?”Comparative“What are the top marketing attribution and marketing mix modeling platforms and how do they differ?”Budget-constrained“What is the best marketing attribution and marketing mix modeling platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a marketing attribution and marketing mix modeling platform. What should we look at?”Negative“Which marketing attribution and marketing mix modeling platforms should I avoid or be cautious about?”
Claude Haiku 4.5Dreamdata
Three alternativesCaliberMind, HubSpot Marketing Hub, Northbeam
Dreamdata, HubSpot Marketing HubChanged
Two alternativesNorthbeam, Ruler Analytics
no first choiceGoogle Analytics 4
Three alternativesMatomo, Northbeam, Windsor.ai
no first choiceagainst: Google, Meta, Neuralift
GPT-5.4 miniDreamdata
Three alternativesAdobe Marketo Measure, CaliberMind, MixModeler
DreamdataHeld
Three alternativesCaliberMind, Google Meridian, HockeyStack
no first choiceAttribution Insights
Two alternativesAdjust, Google Analytics 4
against: Kochava
no first choiceagainst: Kochava
Gemini 3.5 FlashCaliberMind
Three alternativesDreamdata, HockeyStack, RevSure
CaliberMind, ParamarkChanged
Four alternativesDreamdata, Factors.ai, HockeyStack, Recast
no first choiceagainst: Google Meridian, Meta RobynGoogle Meridian, Meta Robyn, Triple Whale
Three alternativesAdmetrics, PyMC-Marketing, Ruler Analytics
Haus, Lifesight, LiftLab, Measured, Mutinex, Recastagainst: Analytic Partners, Cometly, Google Meridian, Ipsos, Meta Robyn, Nielsen Marketing Mix Modeling, Triple Whaleagainst: Adometry, Google Analytics 4, Nielsen Marketing Mix Modeling, Northbeam, Rockerbox, TikTok Ads, Triple Whale, Visual IQ
Perplexity SonarDreamdata
Two alternativesFactors.ai, HockeyStack
Dreamdata, ImprovadoChanged
Two alternativesFactors.ai, HockeyStack
no first choice
Ten alternativesAdmetrics, Dreamdata, Funnel, HubSpot Marketing Hub, Measured, Northbeam, Rockerbox, Ruler Analytics, SegmentStream, Triple Whale
Google Analytics 4
Three alternativesAnyTrack, Cometly, Triple Whale
against: Admetrics, SegmentStream
no first choiceagainst: Adobe Analytics, Adobe Marketo Measure
Grok 4.20Dreamdata
Three alternativesHockeyStack, Recast, RevSure
against: Adobe Mix Modeler, Cometly, Google Analytics 4, Google Meridian, Measured, Northbeam, Rockerbox, Triple Whale
DreamdataHeld
Four alternativesCassandra, HockeyStack, Keen Decision Systems, Ruler Analytics
against: Funnel, Recast
Dreamdata, HubSpot Marketing Hub, Measured
Nine alternativesAdobe Mix Modeler, Google Analytics 4, Google Meridian, Hyros, Northbeam, Recast, Ruler Analytics, Triple Whale, Wicked Reports
Google Analytics 4
Four alternativesCometly, Forecastr, Triple Whale, Windsor.ai
against: Google Meridian, Meta Robyn
Measured
Five alternativesImprovado, Mutinex, Northbeam, Recast, Rockerbox
against: Adobe Analytics, Analytic Partners, Arima, Google Meridian, HockeyStack, HubSpot Marketing Hub, LeadsRx, Lifesight, Meta Robyn, Nielsen Marketing Mix Modeling, Northbeam, Rockerbox, Ruler Analytics, Triple Whale
Mistral SmallDreamdata, Recast
Six alternativesCometly, HockeyStack, Improvado, Measured, MixModeler, Ruler Analytics
DreamdataChanged
Four alternativesAdobe Mix Modeler, CaliberMind, HockeyStack, SegmentStream
no first choice
Three alternativesMeasured, Rockerbox, SegmentStream
Google Analytics 4, Triple Whale
Seven alternativesAnyTrack, Attribution App, Dreamdata, Forecastr, Usermaven, WhatConverts, Windsor.ai
against: Northbeam
no first choiceagainst: Analytic Partners, Cometly, Dreamdata, Google Meridian, HockeyStack, Meta Robyn, Nielsen Marketing Cloud, Northbeam, Ruler Analytics, SegmentStream, Triple Whale
DeepSeek V4 FlashDreamdata, HockeyStack, Rockerbox
Five alternativesImprovado, Recast, Ruler Analytics, SegmentStream, Sellforte
Dreamdata, RecastChanged
Six alternativesGoogle Meridian, HubSpot Marketing Hub, Lifesight, MixModeler, Ruler Analytics, Salesforce Sales Cloud
against: Measured
no first choice
Nine alternativesAnalytic Partners, Google Meridian, Kantar, Measured, Meta Robyn, Northbeam, Recast, Rockerbox, Triple Whale
Google Analytics 4, Google Meridian, PyMC-Marketing
Three alternativesMeta Robyn, Triple Whale, Windsor.ai
against: Analytic Partners, Cometly, Lifesight, Mediaocean, Northbeam, Recast, Rockerbox, SegmentStream
no first choice
Seven alternativesAnalytic Partners, Google Meridian, Measured, Meta Robyn, Mutinex, Neuralift, Recast
against: Adobe Marketo Measure, Analytic Partners, Circana, Cometly, Dreamdata, Ekimetrics, Gain Theory, Google Analytics 4, Google Meridian, HockeyStack, Hyros, Kantar, Meta Robyn, NIQ, Nielsen Marketing Mix Modeling, Northbeam, Ruler Analytics, Triple Whale
Llama 4 MaverickImprovado
Two alternativesDreamdata, Rockerbox
Dreamdata, Factors.ai, HockeyStackChangedno first choiceForecastr
One alternativeGoogle Analytics 4
Recast
Three alternativesCaliberMind, Google Meridian, Measured
nothing named
Qwen 3.7 FlashRockerbox
Two alternativesAlviss AI, Recast
against: Google Meridian, Meta Robyn
Ruler AnalyticsChanged
Two alternativesTerminus, TripleWhale
against: Demandbase
Measurled / Measured, SegmentStream
Seven alternativesBlueAlpha, Dreamdata, LiftLab, Northbeam, Rockerbox, Sellforte, Triple Whale
against: Google Analytics 4
Google Analytics 4
Five alternativesCometly, Google LightweightMMM, HubSpot Marketing Hub, Klaviyo, Meta Robyn
against: Lightsource.ai / Hivestack
Atmosi
Three alternativesTerminus, Turntide, Wavestone
against: Kantar, Nielsen Marketing Mix Modeling
against: Adjust, AppsFlyer, Attribution 360, Singular
Kimi K2Dreamdata
Four alternativesFactors.ai, HockeyStack, Recast, Rockerbox
DreamdataHeld
Five alternativesFactors.ai, HockeyStack, Keen Decision Systems, Recast, Ruler Analytics
no first choiceGoogle Analytics 4
Seven alternativesAttributer, Attribution App, Cometly, Google Meridian, HubSpot Marketing Hub, Meta Robyn, Triple Whale
against: PyMC-Marketing
Measured, Mutinex, Recast
Two alternativesDreamdata, HockeyStack
against: Cometly, Forecastr, Google Analytics 4, Google Meridian, Keen Decision Systems, Meta Robyn, Northbeam, Recast, Triple Whale
GLM 4.7 FlashXDreamdata, SegmentStream
Eight alternativesHeeet, HockeyStack, Lifesight, Measured, MixModeler, Northbeam, Recast, Ruler Analytics
against: Adobe Marketo Measure, Analytic Partners
DreamdataChanged
Four alternativesFactors.ai, HockeyStack, Rockerbox, SegmentStream
no first choiceagainst: Adobe Mix Modeler, Analytic Partners, Neuralift, Nielsen Marketing CloudGoogle Analytics 4, RedTrack
Seven alternativesAttribution App, Cometly, Dreamdata, Forecastr, Google Meridian, Meta Robyn, Triple Whale
no first choiceagainst: Adobe Analytics, Dreamdata, Google Analytics 360, HubSpot Marketing Hub, LeadsRx, Northbeam, Rockerbox, Triple Whale
MiniMax M2.5Dreamdata, Recast, SegmentStream
Two alternativesAnalytic Edge, HubSpot Marketing Hub
Dreamdata, MixModelerChanged
Two alternativesAdobe Marketo Measure, Northbeam
no first choiceDreamdata, Triple Whale
Six alternativesCometly, Forecastr, Google Meridian, Humblytics, Meta Robyn, Windsor.ai
no first choicenothing named
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.
Seventy-two rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-09-14 23:28yes1311 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 00:47yes45 s
Direct recommendationGemini 3.5 Flashgemini-3.5-flash2026-09-15 01:37yes2324 s
Direct recommendationPerplexity Sonarsonar2026-09-15 03:16yes207 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)2026-09-15 00:50yes011 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-09-15 01:35yes012 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-15 00:15yes024 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 01:19yes02 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 02:58yes037 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-09-14 23:16yes046 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 03:29yes062 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 00:08yes030 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 02:56yes88 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 02:12yes25 s
ParaphraseGemini 3.5 Flashgemini-3.5-flash2026-09-15 01:08yes1927 s
ParaphrasePerplexity Sonarsonar2026-09-15 01:17yes206 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)2026-09-15 03:55yes07 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-09-15 03:05yes07 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-15 04:29yes023 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 04:05yes02 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 01:59no047 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-09-14 23:06yes041 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-14 23:25yes046 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 03:04yes024 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 02:32yes1411 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 00:08yes89 s
ComparativeGemini 3.5 Flashgemini-3.5-flash2026-09-15 04:42yes2228 s
ComparativePerplexity Sonarsonar2026-09-15 04:04yes2010 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)2026-09-15 04:18yes07 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-09-15 00:52yes08 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-14 23:08yes017 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 04:23yes02 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 01:51yes028 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-09-15 04:24yes044 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 04:44yes050 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 00:58yes027 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 03:24yes159 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-14 23:28yes56 s
Budget constrainedGemini 3.5 Flashgemini-3.5-flash2026-09-15 03:11yes2122 s
Budget constrainedPerplexity Sonarsonar2026-09-15 02:16yes206 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)2026-09-15 03:58yes07 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-09-15 03:30yes010 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-15 01:36yes019 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-14 23:25yes01 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-14 23:35yes052 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-09-14 23:43yes035 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 01:44yes027 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 03:49yes015 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 04:12no05 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 03:07no07 s
Scale constrainedGemini 3.5 Flashgemini-3.5-flash2026-09-15 03:08yes1422 s
Scale constrainedPerplexity Sonarsonar2026-09-14 22:52yes1923 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)2026-09-15 03:45yes010 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-09-15 01:37no07 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-15 04:47yes034 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 00:56yes03 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-14 23:28no035 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-09-15 02:51yes046 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 03:48yes054 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 03:58yes015 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 03:43yes1911 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 00:22yes67 s
Negative framingGemini 3.5 Flashgemini-3.5-flash2026-09-15 03:56yes2731 s
Negative framingPerplexity Sonarsonar2026-09-15 00:28yes198 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)2026-09-15 02:47yes014 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-09-14 23:20yes014 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-15 00:15yes031 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 01:38yes02 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-14 23:44no033 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-09-15 05:08yes0102 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 03:02yes0136 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 03:11yes038 s

Noise floor in this category

Flips between the edition run and its calibration repeat. Six prompts per model is a small sample; the index-wide floor is the number to trust.

ShowHide
Claude Haiku 4.5
1 of 3 flipped
GPT-5.4 mini
2 of 3 flipped
Gemini 3.5 Flash
4 of 5 flipped
Perplexity Sonar
2 of 3 flipped
Grok 4.20
4 of 6 flipped
Mistral Small
3 of 5 flipped
DeepSeek V4 Flash
5 of 5 flipped
Llama 4 Maverick
3 of 4 flipped
Qwen 3.7 Flash
6 of 6 flipped
Kimi K2
3 of 4 flipped
GLM 4.7 FlashX
3 of 3 flipped
MiniMax M2.5
4 of 4 flipped

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
HubSpot read as HubSpot Marketing Hub
HubSpot (Starter Tier) read as HubSpot Marketing Hub
HubSpot Marketing Attribution read as HubSpot Marketing Hub
Keen read as Keen Decision Systems
Nielsen read as Nielsen Marketing Mix Modeling
Ruler read as Ruler Analytics
Salesforce read as Salesforce Sales Cloud
Unresolved, counted raw
Alviss AI
Atmosi
Attribution Insights
Business Layers
Custom Python Scripts
Datamatrix
Google
Google Ads reports
Lightsource.ai / Hivestack
Littledata
Measued
Measurled / Measured
Meta
Scalefu
Turntide
Wavestone
Zignal Labs
Discontinued, still offered
Qwen 3.7 Flash named Google LightweightMMM as alternative on the budget prompt. Deprecated by Google in favor of Meridian.
Kimi K2 named Google LightweightMMM as mention on the budget prompt. Deprecated by Google in favor of Meridian.
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