AI Indexes
GTM AI Index
October 2026 Edition · The permanent record of this edition. The unqualified address always carries the latest edition.
Index › GTM data and infrastructure › Customer intel › Enterprise › October 2026 Edition

Customer intelligence and data science for enterprise buyers

Asked as “customer analytics and intelligence platform”, and as “customer journey analytics tool”, on behalf of an enterprise B2B company. 53 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
13%
Contested · Salesforce Data Cloud 11%
13Adobe Customer Journey Analytics11Salesforce Data Cloud09Gainsight66others

13% of first choices, contested.

Since September 2026▼−11Since September 2026: 24% → 14%, −11 points. Past the 11-point floor: movement. Read over the models both editions asked.Adobe Customer Journey Analytics held the lead, −11 points on 24%, past the 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
01Adobe Customer Journey Analytics13%0%11accepted challenger▼−11Since September 2026: 24% → 14%, −11 points. Past the 11-point floor: movement. Read over the models both editions asked.24% → 14%
02Salesforce Data Cloud11%12%24accepted challenger▲+4Since September 2026: 7% → 11%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.7% → 11%
03Gainsight9%0%10accepted challenger▲+4Since September 2026: 7% → 11%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.7% → 11%
04Amplitude8%29%38criticized challenger▼−3Since September 2026: 7% → 5%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.7% → 5%
05Microsoft Power BI6%8%12accepted challenger▲+5Since September 2026: 0% → 5%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 5%
06Mixpanel4%39%36criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%
Show the six products at 0%, ordered by negative rate
12Tableau0%42%12criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
10Adobe Real-Time CDP0%39%18criticized challenger▼−5Since September 2026: 5% → 0%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.5% → 0%
11Medallia Experience Cloud0%36%11criticized challenger▼−5Since September 2026: 5% → 0%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.5% → 0%
09Segment0%33%24criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
08Qualtrics0%24%17accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
07Contentsquare0%13%15accepted 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-one head-to-head pages: the top seven 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
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12
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative30%
Key
01Adobe Customer Journey Analytics13%
02Salesforce Data Cloud11%
03Gainsight9%
04Amplitude8%
05Microsoft Power BI6%
06Mixpanel4%
07Contentsquare0%
08Qualtrics0%
09Segment0%
10Adobe Real-Time CDP0%
11Medallia Experience Cloud0%
12Tableau0%

What they warned about

One of fourteen models held their first choice under the paraphrase. GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Grok 4.1 Fast, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5, GPT-6 Luna 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.
Mixpanel
39%
14 of 36 labels negative · 9 of 14 models · 6 hard negative
“**Verdict**: Exercise extreme caution, especially if you handle sensitive customer data... The security breach alone should trigger a thorough security audit” DeepSeek V4 Flash, negative prompt
Amplitude
29%
11 of 38 labels negative · 8 of 14 models · 4 hard negative
“should avoid or be cautious about are: 1. Platforms with per-seat or per-MTU pricing (Amplitude, Mixpanel, Segment, Tableau, Domo)” Llama 4 Maverick, negative prompt
Segment
33%
8 of 24 labels negative · 6 of 14 models · 3 hard negative
“Platforms with per-seat or per-MTU pricing (Amplitude, Mixpanel, Segment, Tableau, Domo)” Llama 4 Maverick, negative prompt
Google Analytics 4
78%
7 of 9 labels negative · 6 of 14 models · 2 hard negative
“avoid relying on **GA4 Standard alone** if you need high-volume, unsampled, long-term customer analytics” GPT-6 Luna, 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. 1151 links across 384 sites, every framing counted. Ranked by the number of answers carrying the site or page. 8 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.

27 answers · 54 citations · 12 models
24 answers · 25 citations · 9 models
vendor site · Chattermill23 answers · 35 citations · 9 models
20 answers · 25 citations · 10 models
vendor site · Mixpanel20 answers · 23 citations · 11 models
vendor site · Amplitude18 answers · 29 citations · 8 models
vendor site · HubSpot18 answers · 19 citations · 9 models
16 answers · 23 citations · 10 models
vendor site · Adobe15 answers · 32 citations · 10 models
vendor site · Cometly15 answers · 27 citations · 11 models
vendor site · Zendesk15 answers · 16 citations · 8 models
14 answers · 17 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.

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 customer analytics and intelligence platform”, “customer analytics and intelligence 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 days
Adobe parent site
Adobe Customer Journey Analytics 13%, Adobe Customer Journey Analytics (CJA) B2B Edition 6%, Adobe Analytics 2%
21%2061,220,000117,563
Salesforce parent site
Salesforce Data Cloud 11%, Salesforce Customer 360 4%, Salesforce Marketing Cloud 2%
17%320550,00060,632
Gainsight gainsight.com9%618,10042659,56958
Microsoft parent site
Microsoft Power BI 6%, Microsoft Dynamics 365 Customer Insights 4%
9%2422,240,000403,136
Amplitude amplitude.com8%24874,0005,691373,273$20727
Qrvey qrvey.com6%526001,992$2567
Mixpanel mixpanel.com4%46612,10045820,284$45811
Hightouch hightouch.com2%36312,100434127,77223
Enterpret enterpret.com2%251,00010859$11616
GoodData gooddata.ai2%37201711,32152

Google's top ten for the two searches hold 16 sites; 2 of them are among the sites the models cited here (cxtoday.com, zendesk.com). The first result for “best customer analytics and intelligence platform” is kayako.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 customer analytics and intelligence platform for an enterprise B2B company?”Paraphrase“Which customer journey analytics tool would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade customer analytics platforms and how do they differ?”Budget-constrained“What is the best customer analytics and intelligence 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 customer analytics and intelligence platform. What should we look at?”Negative“Which customer analytics platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5no first choiceno first choiceHeldAmplitude
Nine alternativesAdobe Real-Time CDP, Contentsquare, Enterpret, Hightouch, Mixpanel, Qualtrics, Salesforce Data Cloud, Tealium, Treasure Data
against: Medallia Experience Cloud
GoodData, Qrvey
Two alternativesGoogle Analytics 360, Sumboard
no first choiceagainst: Boost.ai, Medallia Experience Cloud, PolyAI, Qualtrics, Sprinklr, Yellow.ai
GPT-5.4 miniHightouch
Three alternatives6sense, Adobe Real-Time CDP, Salesforce Data Cloud
Adobe Customer Journey Analytics, specifically the B2B EditionChanged
Two alternativesAmplitude, Contentsquare
no first choiceAmplitude
One alternativeSegment
no first choicenothing named
Gemini 3.5 FlashEnterpret
Eight alternatives6sense, Adobe Real-Time CDP, Amplitude, Demandbase, Gainsight, Planhat, Qualtrics, Salesforce Data Cloud
Adobe Customer Journey AnalyticsChanged
Four alternativesAmplitude, CSG Xponent, Gainsight PX, Salesforce Marketing Cloud
against: Pointillist
Amplitude
Six alternativesAdobe Experience Cloud, Contentsquare, Hightouch, Mixpanel, SAS Customer Intelligence, Salesforce Data Cloud
ActionIQ, PostHog
Four alternativesCrossbeam, GoodData, Medallia Experience Cloud, Unwrap
against: Looker, Tableau
Amplitude
Four alternativesContentsquare, Fullstory, Gainsight, Mixpanel
against: Adobe Analytics, Google Analytics 4, Segment, Tealium, mParticle
Perplexity SonarGainsight, Salesforce Data Cloud
Two alternativesAdobe Customer Journey Analytics, Leadspace
Adobe Customer Journey AnalyticsChanged
One alternativeQuantum Metric
no first choice
Seventeen alternativesAmperity, Amplitude, Chattermill, Contentsquare, Databricks, Fullstory, InMoment, Medallia Experience Cloud, Microsoft Power BI, Mixpanel, Oracle Analytics, Oracle Unity, Qualtrics CustomerXM, RudderStack, Salesforce Data Cloud, Tableau, mParticle
Basedash
Four alternativesIBM Cognos Analytics, Oracle BI, SAS Business Intelligence, Salesforce Data Cloud
against: Adobe Real-Time CDP, Microsoft Power BI, Tableau, Treasure Data
no first choiceagainst: Adobe Real-Time CDP, Google Analytics 4, Klaviyo, Meta Pixel, PostHog
Grok 4.1 FastSalesforce Data Cloud
Two alternativesAdobe Real-Time CDP, Microsoft Dynamics 365 Customer Insights
Adobe Customer Journey AnalyticsChanged
Two alternativesAmplitude, Salesforce Marketing Cloud
against: Contentsquare, HubSpot CRM, Mixpanel
no first choice
Five alternativesAdobe Real-Time CDP, Amplitude, Salesforce Data Cloud, Tealium, Treasure Data
against: Heap, Mixpanel, Segment
HubSpot CRM
Two alternativesMicrosoft Power BI, monday CRM
against: Amplitude, Mixpanel, Segment
no first choiceagainst: ActionIQ, Amplitude, Redpoint Global, Salesforce, Sisense, Zeotap CDP, Zeta Global, mParticle
Mistral SmallGainsight
Two alternativesChattermill, Qualtrics
Adobe Analytics, Salesforce Marketing CloudChanged
One alternativeQuantum Metric
no first choiceMicrosoft Power BI
Three alternativesMetabase, Microsoft Dynamics 365 Customer Insights, Tableau
no first choiceagainst: Amplitude, Mixpanel
DeepSeek V4 FlashSalesforce Data Cloud
Two alternatives6sense, Demandbase
against: ActionIQ, Adobe Real-Time CDP, Segment
Adobe Customer Journey Analytics (CJA) B2B EditionChanged
Four alternativesContentsquare, Dreamdata, Quantum Metric, Salesforce Marketing Cloud
against: Google Analytics 4, Mixpanel
Amplitude
Eight alternativesAdobe Analytics, Mixpanel, Optimizely CMS, Qualtrics, Salesforce Customer 360, Salesforce Data Cloud, Segment, Treasure Data
Metabase
Three alternativesDomo, Microsoft Power BI, ThoughtSpot
against: Amplitude, Medallia Experience Cloud, Mixpanel, Qualtrics, Salesforce Data Cloud, Segment
no first choiceagainst: Amplitude, Mixpanel, Qualtrics
Llama 4 MaverickGainsightCometlyChangedno first choiceno first choiceUnwrap
Two alternativesEnterpret, Sogolytics
against: Adobe Real-Time CDP, Amplitude, Domo, Mixpanel, Segment, Tableau
Qwen 3.7 FlashClari Copilot, Gong
Four alternatives6sense, Gainsight, Salesforce, Totango
Adobe Customer Journey AnalyticsChanged
Four alternativesAmplitude, Einstein, Salesforce/Tableau, Snowplow
no first choiceMicrosoft Power BI
Two alternativesLooker, Tableau
against: Amplitude, Mixpanel
no first choiceagainst: Amplitude, Domo, Google Analytics 4, Mixpanel, Pendo
Kimi K2Gainsight
Four alternativesAdobe Real-Time CDP, ChurnZero, Salesforce Data Cloud, Totango
Adobe Customer Journey AnalyticsChanged
Two alternativesSalesforce Customer 360, Salesforce Marketing Cloud
no first choiceagainst: Google Analytics 360Microsoft Dynamics 365 Customer Insights
One alternativeMicrosoft Power BI
against: Adobe Real-Time CDP, Looker, Oracle Unity, Salesforce Data Cloud, Tableau, ThoughtSpot
Mixpanel
One alternativeSegment
against: Amplitude
against: Adobe Real-Time CDP, Salesforce Data Cloud, Segment, Tealium, Zeotap CDP
GLM 4.7 FlashXSalesforce Customer 360, Salesforce Data Cloud
Six alternativesAdobe Experience Cloud, Gainsight, Introhive, Oracle CX, SAP Customer Experience, Totango
Adobe Customer Journey Analytics (CJA) B2B EditionChanged
Two alternativesContentsquare, Salesforce Marketing Cloud
Adobe Customer Journey Analytics, Contentsquare
Eleven alternativesAdobe Real-Time CDP, Amplitude, Chattermill, Fullstory, Glassbox, Medallia Experience Cloud, Microsoft Dynamics 365 Customer Insights, Mixpanel, Qualtrics CX, Salesforce Customer 360, Segment
against: Google Analytics 4
Qrvey
Three alternativesDatabricks, Microsoft Power BI, Segment
no first choiceagainst: Amplitude, Contentsquare, Fullstory, Google Analytics 4, Heap, Medallia Experience Cloud, Mixpanel, Pendo, Qualtrics
MiniMax M2.5Gainsight, Salesforce Data Cloud
Four alternativesChurnZero, Oracle B2B Marketing Automation, Qualtrics, Totango with Catalyst
Adobe Customer Journey AnalyticsChanged
One alternativeSalesforce CRM Analytics
against: HubSpot CRM, Mixpanel
no first choice
Six alternativesActionIQ, Adobe Real-Time CDP, Salesforce Data Cloud, Segment, Tealium, Treasure Data
Embeddable, Qrvey
Two alternativesCrossbeam, Querio
no first choiceagainst: Adobe Analytics, Salesforce CRM Analytics
GPT-6 LunaAmplitude
Three alternatives6sense, Mixpanel, Salesforce Data Cloud
Adobe Customer Journey Analytics (CJA) B2B EditionChanged
One alternativeAmplitude Accounts
Amplitude, Mixpanel
Five alternativesAdobe Customer Journey Analytics, Contentsquare, Pendo, Salesforce Data Cloud, Segment
Microsoft Power BI
Two alternativesLooker, Microsoft Fabric
Amplitude, Mixpanel
One alternativePendo
against: Google Analytics 4, Mixpanel
Muse Glimmer 30BSalesforce Customer 360, Salesforce Data Cloud
Two alternativesMicrosoft Dynamics 365 Customer Insights, Qualtrics
Adobe Customer Journey AnalyticsChanged
One alternativeSalesforce Marketing Intelligence
Amplitude, Medallia Experience Cloud, Mixpanel, Qualtrics
Six alternativesAdobe Analytics, Adobe Experience Cloud, Chattermill, Contentsquare, Fullstory, Salesforce Data Cloud
Microsoft Dynamics 365 Customer Insights
Three alternativesBasedash, Crossbeam, WaitWell
against: HubSpot CRM, Zoho CRM
no first choiceagainst: Adobe Real-Time CDP, Amplitude, Domo, Mixpanel, Segment, Tableau
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

The record

One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Eighty-four rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 07:54no04 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 13:30yes36 s
Direct recommendationGemini 3.5 Flashgemini-3.5-flash2026-10-01 10:17yes2422 s
Direct recommendationPerplexity Sonarsonar2026-10-01 10:07yes183 s
Direct recommendationGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 08:01yes248 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-10-01 12:11yes84 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 11:16yes2332 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 07:41yes51 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 08:01no029 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-10-01 09:20yes1527 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 10:11yes2425 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 11:23yes1933 s
Direct recommendationGPT-6 Lunagpt-6-luna2026-10-01 07:25yes421 s
Direct recommendationMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 14:04yes1416 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 12:17no04 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 14:05yes34 s
ParaphraseGemini 3.5 Flashgemini-3.5-flash2026-10-01 09:03yes1825 s
ParaphrasePerplexity Sonarsonar2026-10-01 08:56yes203 s
ParaphraseGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 09:02yes2113 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-10-01 09:02yes54 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 13:14yes1927 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 12:07yes51 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 08:33yes530 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-10-01 12:04yes1818 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 13:53yes22137 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 11:28yes1531 s
ParaphraseGPT-6 Lunagpt-6-luna2026-10-01 13:29yes311 s
ParaphraseMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 10:22yes2225 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 09:38yes149 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 08:20yes59 s
ComparativeGemini 3.5 Flashgemini-3.5-flash2026-10-01 13:39yes2025 s
ComparativePerplexity Sonarsonar2026-10-01 08:51yes206 s
ComparativeGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 12:26yes2410 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-10-01 08:43yes1310 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 10:58yes2550 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 11:55yes51 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 11:17no033 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-10-01 07:42yes1931 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 07:54yes2060 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 12:34yes1425 s
ComparativeGPT-6 Lunagpt-6-luna2026-10-01 08:52yes727 s
ComparativeMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 09:39yes2343 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 12:21yes178 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 09:34yes48 s
Budget constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-01 12:45yes1125 s
Budget constrainedPerplexity Sonarsonar2026-10-01 12:09yes246 s
Budget constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 10:59yes2310 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-10-01 13:31yes137 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 12:51yes2432 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 09:52yes52 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 08:06no029 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-01 13:40yes2536 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 08:36yes2568 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 13:51yes1032 s
Budget constrainedGPT-6 Lunagpt-6-luna2026-10-01 08:55yes317 s
Budget constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 11:12yes1423 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 11:25yes1814 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 07:41yes18 s
Scale constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-01 10:09yes528 s
Scale constrainedPerplexity Sonarsonar2026-10-01 10:39yes205 s
Scale constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 13:08yes2310 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-10-01 09:10no09 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 10:37yes2542 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 11:44yes52 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 13:36yes534 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-01 08:43yes2531 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 09:25yes2566 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 13:46no054 s
Scale constrainedGPT-6 Lunagpt-6-luna2026-10-01 08:51yes218 s
Scale constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 13:52yes1522 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 13:26yes158 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 08:44yes06 s
Negative framingGemini 3.5 Flashgemini-3.5-flash2026-10-01 10:02yes2630 s
Negative framingPerplexity Sonarsonar2026-10-01 12:50yes206 s
Negative framingGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 09:03yes248 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-10-01 12:20yes107 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 09:48yes2445 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 08:30yes52 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 07:58yes740 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-10-01 10:09yes2428 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 09:09yes1435 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 10:12yes2351 s
Negative framingGPT-6 Lunagpt-6-luna2026-10-01 11:00yes223 s
Negative framingMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 10:39yes2426 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
Adobe CDP read as Adobe Real-Time CDP
HubSpot read as HubSpot CRM
HubSpot Smart CRM read as HubSpot CRM
HubSpot Smart CRM (Enterprise Tier) read as HubSpot CRM
Medallia read as Medallia Experience Cloud
Unresolved, counted raw
Adobe Customer Journey Analytics, specifically the B2B Edition
Amperity Customer Data Cloud
CSG Xponent
Capillary Technologies' Customer Insights Platform
Genesys Cloud CX Journey Management
Google
HubSpot CIP
IBM Tealeaf & Customer Insight
Microsoft
Oracle
Oracle B2B Marketing Automation
Pointillist (by Genesys)
Qualtrics CX
Qualtrics Enterprise XM
SAP Customer Data Cloud & Qualtrics XM
Salesforce
Salesforce (Customer 360)
Salesforce (Data Cloud / Customer 360 / CDP offerings)
Salesforce (Einstein Analytics / Tableau)
Salesforce Analytics/Einstein
Salesforce Marketing Intelligence
Sumboard
Totango with Catalyst
Unwrap AI
Discontinued, still offered
No shut-down product was recommended here.
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