AI Indexes
GTM AI Index
October 2026 Edition · The permanent record of this edition. The unqualified address always carries the latest edition.
Index › Marketing › Mobile apps › Enterprise › October 2026 Edition

Mobile apps for enterprise buyers

Asked as “mobile app marketing platform”, and as “mobile app engagement and growth tool”, on behalf of an enterprise B2B company. 52 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
50%
Clear leader
50Braze12AppsFlyer04Airship35others

50% of first choices, clear leader.

Since September 2026▲+12Since September 2026: 39% → 51%, +12 points. Past the 11-point floor: movement. Read over the models both editions asked.Braze held the lead, +12 points on 39%, past the floor.
ShowinginAll 112 categories in the October 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 fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Braze50%18%60endorsed leader▲+12Since September 2026: 39% → 51%, +12 points. Past the 11-point floor: movement. Read over the models both editions asked.39% → 51%
02AppsFlyer12%25%32criticized challenger=heldSince September 2026: 11% → 11%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.11% → 11%
03Airship4%12%32accepted challenger=heldSince September 2026: 4% → 4%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 4%
04Iterable4%0%19accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%
05Branch4%0%15accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%
06MoEngage4%10%21accepted challenger=heldSince September 2026: 4% → 4%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 4%
07OneSignal4%20%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%
08Salesforce Marketing Cloud4%29%17criticized challenger=heldSince September 2026: 4% → 4%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 4%
09Adjust2%11%19accepted 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
12Kochava0%21%14accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
11Singular0%8%13accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
10CleverTap0%5%22accepted 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

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
12
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative70%
Key
01Braze50%
02AppsFlyer12%
03Airship4%
04Iterable4%
05Branch4%
06MoEngage4%
07OneSignal4%
08Salesforce Marketing Cloud4%
09Adjust2%
10CleverTap0%
11Singular0%
12Kochava0%

What they warned about

Four of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, Gemini 3.5 Flash, Perplexity Sonar, Grok 4.1 Fast, Mistral Small, Llama 4 Maverick, Kimi K2, 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.
Braze
18%
11 of 60 labels negative · 9 of 14 models · 1 hard negative
“**Avoid Quote-Based Platforms**: Braze and similar platforms use custom enterprise pricing, which makes budgeting difficult” GLM 4.7 FlashX, budget prompt
AppsFlyer
25%
8 of 32 labels negative · 7 of 14 models
“AppsFlyer\u2019s traditional pricing model is heavily volume-based (charging per attribution/install), which can scale up rapidly and unpredictably” Gemini 3.5 Flash, budget prompt
Salesforce Marketing Cloud
29%
5 of 17 labels negative · 4 of 14 models · 2 hard negative
“Be Highly Cautious ... Only suitable if deeply committed to Salesforce ecosystem with dedicated ops support” Kimi K2, negative prompt
Airship
12%
4 of 32 labels negative · 4 of 14 models
“While **Braze** and **Airship** are industry leaders, they generally operate on **Usage-Based** pricing.” Qwen 3.7 Flash, budget 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

79 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. 1205 links across 362 sites, every framing counted. Ranked by the number of answers carrying the site or page. 41 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 · Guideflow47 answers · 67 citations · 12 models
39 answers · 88 citations · 11 models
27 answers · 35 citations · 11 models
26 answers · 27 citations · 10 models
21 answers · 21 citations · 10 models
20 answers · 28 citations · 8 models
vendor site · Braze19 answers · 32 citations · 10 models
vendor site · MoEngage19 answers · 26 citations · 10 models
vendor site · AppsFlyer18 answers · 36 citations · 11 models
vendor site · Improvado17 answers · 19 citations · 11 models
16 answers · 21 citations · 8 models
vendor site · checkthat.ai15 answers · 20 citations · 7 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 mobile app marketing platform”, “mobile app marketing 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
Braze braze.com50%50527,1006,39555,552$13,11259
AppsFlyer appsflyer.com12%1319,900202107,974292
Airship airship.com4%18422,2003,09323,00673
Iterable iterable.com4%1649,9006,28611,545$64,47837
Branch branch.io4%6460,500203,93319,56336
MoEngage moengage.com4%1091,6005413,6696
OneSignal onesignal.com4%3304,40013329,72638
Salesforce parent site
Salesforce Marketing Cloud 4%
4%296550,00060,632
Amplitude amplitude.com
Amplitude 2%, Amplitude Analytics 2%
4%24874,0005,691373,273$20727
Adjust adjust.com2%8549,500212,073496,097884

Google's top ten for the two searches hold 16 sites; 2 of them are among the sites the models cited here (appsflyer.com, businessofapps.com). The first result for “best mobile app marketing 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
ModelDirect“What is the best mobile app marketing platform for an enterprise B2B company?”Paraphrase“Which mobile app engagement and growth tool would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade mobile app marketing platforms and how do they differ?”Budget-constrained“What is the best mobile app marketing 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 mobile app marketing platform. What should we look at?”Negative“Which mobile app marketing platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5Braze
Three alternativesAdobe Marketo Engage, Insider, Salesforce Marketing Cloud
Amplitude AnalyticsChanged
Three alternativesAdobe Analytics, Braze, Salesforce Marketing Cloud
Braze, Insider
Four alternativesAppsFlyer, CleverTap, Iterable, Salesforce Marketing Cloud
Braze
One alternativeInsider
against: Agentforce Marketing
no first choiceagainst: AppsFlyer
GPT-5.4 miniBraze
Two alternativesAirship, Customer.io
BrazeHeld
Three alternativesAirship, CleverTap, Iterable
Braze
Five alternativesAdjust, Adobe Journey Optimizer, Airship, AppsFlyer, Kochava
Airshipagainst: Braze, CleverTapno first choicenothing named
Gemini 3.5 FlashBraze, Intercom
Five alternativesAppsFlyer, Branch, Dreamdata, RudderStack, Segment
against: Adobe Marketo Engage, Salesforce Marketing Cloud
BrazeChanged
Two alternativesAirship, Pendo
AppsFlyer, Braze
Six alternativesAdjust, Airship, Branch, CleverTap, MoEngage, Singular
Adjust, Blueshift
Three alternativesCleverTap, MoEngage, Singular
against: AppsFlyer
no first choiceagainst: Adjust, Google, Kochava, Meta Advantage+ App Campaigns, TikTok Ads
Perplexity SonarSalesforce Marketing Cloud
Three alternativesAirship, AppsFlyer, Braze
BrazeChanged
Two alternativesCleverTap, LumApps
AppsFlyer
Six alternativesAdobe Campaign, Meta Advantage+ App, OneSignal, Oracle Responsys, Salesforce Marketing Cloud, Vibes
Agentforce Marketing
One alternativeBraze
no first choiceagainst: Basic Apple Search Ads, Google, Meta Advantage+ App Campaigns
Grok 4.1 FastAppsFlyer
Four alternativesAdjust, Airbridge, Branch, Singular
AmplitudeChanged
Three alternativesAirship, Braze, Mixpanel
AppsFlyer, Singular
Five alternativesAdjust, Airship, Branch, Braze, Kochava
AppsFlyer
Three alternativesAdjust, Kochava, Singular
against: AppDiscovery
Airship, Braze
Two alternativesAppsFlyer, Iterable
against: Airship, AppsFlyer, Braze, Firebase, Singular
Mistral SmallBraze, MoEngage
Two alternativesCustomer.io, Insider
BrazeChanged
Two alternativesAmplitude, DT Ignite Platform
Braze
Five alternativesAdjust, AppsFlyer, Branch, Kochava, Singular
no first choiceno first choiceagainst: Braze, Gravy Analytics / Venntel, MoEngage
DeepSeek V4 FlashBraze
Four alternativesAirship, Iterable, MoEngage, Salesforce Marketing Cloud
BrazeHeld
Three alternativesAirship, CleverTap, MoEngage
against: OneSignal
AppsFlyer, Braze
Eight alternativesAdjust, Airship, Branch, CleverTap, Iterable, Kochava, MoEngage, Salesforce Marketing Cloud
Branch
Three alternativesAdjust, OneSignal, Singular
against: Airship, AppsFlyer, Braze, Kochava, Tenjin
no first choiceagainst: Adobe Campaign, AppsFlyer, Braze, IBM Watson Campaign Automation, Oracle Responsys, Salesforce Marketing Cloud
Llama 4 Maverickno first choiceBrazeChanged
Two alternativesCleverTap, MoEngage
no first choiceno first choiceBraze
Three alternativesAppsFlyer, Localytics, MoEngage
against: Braze
Qwen 3.7 FlashBraze
Two alternativesCustomer.io, Iterable
BrazeHeld
Three alternativesAdobe Experience Cloud, Airship, Salesforce Marketing Cloud
Braze
Four alternativesAirship, CleverTap, Iterable, MoEngage
Customer.io, OneSignal
One alternativeAffise
against: Adjust, Airship, AppsFlyer, Braze
no first choiceagainst: Braze, MoEngage
Kimi K2Braze
Three alternativesAirship, Iterable, MoEngage
Adobe Journey Optimizer B2B Edition, BrazeChanged
One alternativeAirship
against: OneSignal
Braze
Five alternativesAirship, CleverTap, Insider, MoEngage, OneSignal
Braze, Iterable
One alternativeOneSignal
against: Salesforce Marketing Cloud
AppsFlyer
Three alternativesAdjust, Branch, Kochava
against: Airship, AppsFlyer, Braze, Salesforce Marketing Cloud
GLM 4.7 FlashXBraze
Five alternativesAdjust, Airship, AppTweak, AppsFlyer, CleverTap
BrazeHeld
Three alternativesAirship, CleverTap, MoEngage
Braze
Five alternativesAppsFlyer, Attentive, Branch, CleverTap, Iterable
against: Firebase
AppsFlyer
Two alternativesFirebase Analytics, Kochava
against: Braze
no first choicenothing named
MiniMax M2.5Braze, Salesforce Marketing Cloud
Two alternativesAdobe Campaign, Iterable
Braze, MoEngageChanged
Three alternativesAirship, Iterable, Pendo
Braze
Four alternativesAirship, CleverTap, Iterable, MoEngage
AppsFlyer
Four alternativesAdjust, AppMetrica, Kochava, Tenjin
no first choicenothing named
GPT-6 LunaAppsFlyer
Two alternativesBranch, Braze
BrazeChangedAdjust, AppsFlyer, Singular
Four alternativesBranch, Braze, Iterable, Kochava
OneSignal
Two alternativesAirship, Braze
no first choiceagainst: Gravy Analytics / Venntel, InMarket, Kochava, Mobilewalla, X-Mode Social / Outlogic
Muse Glimmer 30BBraze, Iterable
Three alternativesAdobe Journey Optimizer, Adobe Marketo Engage, CleverTap
BrazeChanged
One alternativeAirship
AppsFlyer, Braze
Six alternativesAdjust - AppLovin, Airship, Branch, Iterable, Kochava, Singular
Branch
One alternativeAdjust
against: AppsFlyer
no first choiceagainst: ActiveCampaign, Braze, Constant Contact, Mailchimp, Salesforce Marketing Cloud
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 11:13yes97 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 08:26yes34 s
Direct recommendationGemini 3.5 Flashgemini-3.5-flash2026-10-01 11:21yes2031 s
Direct recommendationPerplexity Sonarsonar2026-10-01 08:24yes193 s
Direct recommendationGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 08:14yes247 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-10-01 11:08yes117 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 08:07yes2227 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 08:22yes52 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 12:47yes1044 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-10-01 12:20yes1827 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 08:48yes2232 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 10:52yes524 s
Direct recommendationGPT-6 Lunagpt-6-luna2026-10-01 13:44yes213 s
Direct recommendationMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 11:52yes1420 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 13:46yes189 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 12:18yes55 s
ParaphraseGemini 3.5 Flashgemini-3.5-flash2026-10-01 10:41yes923 s
ParaphrasePerplexity Sonarsonar2026-10-01 11:36yes205 s
ParaphraseGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 10:42yes236 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-10-01 09:19yes53 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 09:23yes2423 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 08:40yes51 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 10:53yes1069 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-10-01 10:21yes2027 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 09:06yes1444 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 07:49yes1970 s
ParaphraseGPT-6 Lunagpt-6-luna2026-10-01 14:12yes216 s
ParaphraseMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 10:40yes1316 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 12:05yes1612 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 08:54yes48 s
ComparativeGemini 3.5 Flashgemini-3.5-flash2026-10-01 13:12yes729 s
ComparativePerplexity Sonarsonar2026-10-01 12:24yes175 s
ComparativeGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 11:01yes2210 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-10-01 12:10yes2011 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 09:37yes2544 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 12:56yes51 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 07:31yes1465 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-10-01 08:21yes1929 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 09:40yes2342 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 14:11yes1532 s
ComparativeGPT-6 Lunagpt-6-luna2026-10-01 08:12yes725 s
ComparativeMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 11:59yes2333 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 10:30yes2815 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 14:02yes35 s
Budget constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-01 10:28yes1830 s
Budget constrainedPerplexity Sonarsonar2026-10-01 08:29yes152 s
Budget constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 11:53yes239 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-10-01 13:48yes52 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 10:56yes2129 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 08:31yes52 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 13:50yes947 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-01 10:59yes2223 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 09:53yes2266 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 13:18yes2262 s
Budget constrainedGPT-6 Lunagpt-6-luna2026-10-01 11:59yes211 s
Budget constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 12:32yes2327 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 08:54no06 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 11:49no07 s
Scale constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-01 11:08yes1129 s
Scale constrainedPerplexity Sonarsonar2026-10-01 12:24yes206 s
Scale constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 08:36yes198 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-10-01 13:28no09 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 12:31yes2559 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 09:50yes52 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 10:29no031 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-01 11:43yes2533 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 09:17yes1324 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 11:58yes1336 s
Scale constrainedGPT-6 Lunagpt-6-luna2026-10-01 14:00yes324 s
Scale constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 10:05yes1534 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 13:10yes2812 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 11:32no09 s
Negative framingGemini 3.5 Flashgemini-3.5-flash2026-10-01 13:50yes1728 s
Negative framingPerplexity Sonarsonar2026-10-01 08:02yes264 s
Negative framingGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 08:02yes239 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-10-01 10:39yes1310 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 09:52yes2538 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 09:48yes52 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 13:14yes1053 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-10-01 08:06yes2528 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 08:32yes2561 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 10:27yes2374 s
Negative framingGPT-6 Lunagpt-6-luna2026-10-01 09:05yes521 s
Negative framingMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 10:14yes2524 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
Meta read as Meta Advantage+ App Campaigns
TikTok read as TikTok Ads
Unresolved, counted raw
Adjust - AppLovin
Adobe Journey Optimizer B2B Edition
AppDiscovery
Basic Apple Search Ads
DT Ignite Platform
Google
IBM Watson Campaign Automation
LumApps
Meta Advantage+ App
Discontinued, still offered
No shut-down product was recommended here.
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