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

In-app messaging and customer communications

Asked as “in-app messaging platform”, and as “customer communications tool for product messaging”, on behalf of a mid-market B2B company. 58 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
21%
Contested · OneSignal 17%
21Intercom17OneSignal16Userpilot47others

21% of first choices, contested.

Since September 2026▲+2Since September 2026: 20% → 22%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Intercom held the lead, +2 points on 20%, 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 a mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Intercom21%17%47accepted challenger▲+2Since September 2026: 20% → 22%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.20% → 22%
02OneSignal17%3%34accepted challenger▲+7Since September 2026: 11% → 18%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.11% → 18%
03Userpilot16%7%27accepted challenger▼−2Since September 2026: 16% → 14%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.16% → 14%
04Appcues9%9%35accepted challenger▲+6Since September 2026: 2% → 8%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 8%
05Pendo3%11%27accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 4%
06Knock3%0%11accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 4%
07Braze2%12%25accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%
08CometChat2%6%16accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
09Firebase2%18%11accepted 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
15Telegram0%91%11criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
13Sendbird0%19%16accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
14Product Fruits0%10%10accepted challenger▼−5Since September 2026: 5% → 0%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.5% → 0%
11CleverTap0%7%14accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
12Stream Chat0%7%14accepted challenger▼−5Since September 2026: 5% → 0%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.5% → 0%
10Customer.io0%6%17accepted challenger▼−5Since September 2026: 5% → 0%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.5% → 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
13
14
15
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Intercom21%
02OneSignal17%
03Userpilot16%
04Appcues9%
05Pendo3%
06Knock3%
07Braze2%
08CometChat2%
09Firebase2%
10Customer.io0%
11CleverTap0%
12Stream Chat0%
13Sendbird0%
14Product Fruits0%
15Telegram0%

What they warned about

Three of fourteen 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, 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.
Telegram
91%
10 of 11 labels negative · 10 of 14 models · 4 hard negative
“For sensitive communication, avoid using: Telegram (possible connections to Russia, with allegations of collaboration with the FSB)” Claude Haiku 4.5, negative prompt
WhatsApp
89%
8 of 9 labels negative · 8 of 14 models · 4 hard negative
“Platforms to **avoid or use extreme caution with**... collects metadata (contacts, device info) shared with Meta” Grok 4.1 Fast, negative prompt
Facebook Messenger
100%
7 of 7 labels negative · 7 of 14 models · 5 hard negative
“Apps specifically called out as more concerning in the supplied sources include **Facebook Messenger**, which is described as collecting substantial data and not offering end-to-end encryption by default” Perplexity Sonar, negative prompt
Intercom
17%
8 of 47 labels negative · 7 of 14 models · 3 hard negative
“What I'd Avoid for Mid-Market B2B: - **Intercom**: Pricing tied to MAUs/contacts scales unpredictably” Kimi K2, paraphrase 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. 1034 links across 328 sites, every framing counted. Ranked by the number of answers carrying the site or page. 18 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 · Guideflow43 answers · 48 citations · 11 models
vendor site · Userpilot39 answers · 47 citations · 13 models
vendor site · CometChat27 answers · 33 citations · 11 models
vendor site · Knock25 answers · 33 citations · 12 models
23 answers · 23 citations · 7 models
23 answers · 23 citations · 9 models
vendor site · Product Fruits20 answers · 20 citations · 9 models
vendor site · OneSignal14 answers · 21 citations · 10 models
vendor site · Respond.io13 answers · 15 citations · 7 models
vendor site · Intercom12 answers · 21 citations · 6 models
vendor site · Pushwoosh12 answers · 12 citations · 7 models
11 answers · 16 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 in-app messaging platform”, “in-app messaging 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
Intercom intercom.com21%44133,1007,16564,348$3,304120
OneSignal onesignal.com17%3304,40013329,726386
Userpilot userpilot.com16%2511,6001062,08461
Appcues appcues.com9%2261,9002618,5062
Crisp crisp.chat5%7260,50036,27629,6852
Firebase In-App Messaging firebase.google.com5%1391,2471
Pendo pendo.io3%42012,10076119,185$3,60993
Knock knock.app3%5433,10094,5857,0750
Braze braze.com2%50527,1006,39555,552$13,11259
CometChat cometchat.com2%41720129,3297

Google's top ten for the two searches hold 15 sites; 3 of them are among the sites the models cited here (onesignal.com, pushwoosh.com, userpilot.com). The first result for “best in-app messaging platform” is userpilot.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 in-app messaging platform for a mid-market B2B company?”Paraphrase“Which customer communications tool for product messaging would you recommend to a mid-sized B2B company?”Comparative“What are the top in-app messaging platforms and how do they differ?”Budget-constrained“What is the best in-app messaging platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating an in-app messaging platform. What should we look at?”Negative“Which in-app messaging platforms should I avoid or be cautious about?”
Claude Haiku 4.5no first choice
Five alternativesFront, Gleap, Helply, Intercom, Product Fruits
FrontChanged
Two alternativesCustomer.io, Intercom
no first choiceagainst: MoEngageFirebase, OneSignal
Two alternativesFreshchat, Product Fruits
no first choiceagainst: Facebook Messenger, Telegram, Viber, WeChat, WhatsApp
GPT-5.4 miniIntercom
Two alternativesAppcues, Pendo
IntercomHeld
Two alternativesAppcues, Pendo
no first choiceCrisp
Two alternativesCustomer.io, Zoho SalesIQ
against: Intercom, Userpilot
no first choicenothing named
Gemini 3.5 FlashIntercom, Userpilot
Five alternativesAppcues, Front, Plain, Pylon, Userflow
UserpilotChanged
Four alternativesCustomer.io, Intercom, Loops, Product Fruits
against: Pendo
no first choice
Eight alternativesAppcues, Braze, CleverTap, CometChat, OneSignal, Pendo, Sendbird, Stream Chat
CometChat, Crisp, Firebase In-App Messaging, OneSignal
Three alternativesProduct Fruits, Pushwoosh, UserGuiding
against: Appcues, Intercom, Matrix, Rocket.Chat
no first choiceagainst: Chat21, CometChat, Firebase, Firebase In-App Messaging, Intercom, Kik, Sendbird, Telegram, WhatsApp, Zendesk
Perplexity SonarAppcues
Two alternativesKnock, OneSignal
PlainChanged
Three alternativesFront, Helply, Respond.io
no first choiceOneSignal
One alternativeGleap
against: UserGuiding
no first choiceagainst: Facebook Messenger, Google Hangouts, WhatsApp
Grok 4.1 FastIntercom
Four alternativesCometChat, LiveChat, Sendbird, Zendesk
against: Drift, Gorgias
IntercomHeld
Four alternativesHelp Scout, HubSpot Service Hub, Pendo, Respond.io
Intercom, OneSignal
Five alternativesAppcues, Braze, Customer.io, Pendo, Userpilot
OneSignal
Five alternativesEjabberd, Firebase, Matrix, Rocket.Chat, Synapse
against: Product Fruits
Braze, Intercomagainst: Apple iMessage, Facebook Messenger, Google Firebase Cloud Messaging, LINE, Standard SMS/MMS/RCS, Telegram, WhatsApp
Mistral SmallKnock
Two alternativesAppcues, OneSignal
Help ScoutChanged
Three alternativesAppcues, Missive, Pendo
against: HubSpot, Qualtrics
IntercomOneSignalno first choiceagainst: Airship, Braze, CleverTap, Intercom, Iterable, MoEngage, TeleMessage, WhatsApp
DeepSeek V4 FlashIntercom
Three alternativesAppcues, OneSignal, Userpilot
Appcues, IntercomChanged
Two alternativesUserflow, Userpilot
against: Pendo
CometChat, Intercom, Sendbird, Stream Chat
Six alternativesBraze, CleverTap, Firebase, OneSignal, Pendo, Twilio Conversations
OneSignal
Three alternativesFirebase Cloud Messaging, Tencent RTC, UserGuiding
against: Customer.io, Intercom, Sendbird, Stream Chat, Userpilot
no first choiceagainst: SMS / Standard SMS-Based Messaging, TeleMessage, Telegram
Llama 4 MaverickKnock, Respond.ioCrescendoChanged
Three alternativesFreshdesk, Moxo, Respond.io
no first choiceOneSignal, Tencent RTC, UserGuidingno first choiceagainst: SMS, TeleMessage
Qwen 3.7 FlashAppcues
Four alternativesChameleon, Pendo, UserGuiding, Userpilot
IntercomChanged
Two alternativesFront, Help Scout
no first choiceno first choice
Four alternativesCometChat, Product Fruits, Tencent RTC, UserGuiding
against: Appcues
Pendo, Userpilot
Two alternativesIntercom, Knock
against: Facebook Messenger, Intercom, LINE, Telegram, WhatsApp
Kimi K2Appcues, Userpilot
Two alternativesChameleon, Intercom
against: Braze, Pendo
UserpilotChanged
Two alternativesChameleon, Pendo
against: Appcues, Firebase, Intercom, OneSignal
Braze, Sendbird
Seven alternativesCometChat, Intercom, OneSignal, Pendo, PubNub, Stream Chat, Userpilot
Firebase In-App Messaging, OneSignal
Two alternativesMirrorFly, UserGuiding
no first choice
Five alternativesIntercom, Knock, OneSignal, Pendo, Userpilot
against: Braze
against: EngageLab EngageSDK, Facebook Messenger, Firebase Cloud Messaging, Sendbird, Telegram, Twilio SDK, WhatsApp Business API
GLM 4.7 FlashXIntercom
Three alternativesAppcues, CleverTap, Userpilot
IntercomHeld
Three alternativesFreshdesk, HubSpot Service Hub, Pendo
no first choiceFirebase In-App Messaging
Three alternativesMirrorFly, PubNub, Sendbird
no first choiceagainst: Discord, Facebook Messenger, Google Messages, SMS/MMS, TeleMessage, Telegram, WhatsApp, iMessage
MiniMax M2.5Userpilot
Three alternativesAppcues, Chameleon, Intercom
Pendo, UserpilotChanged
Two alternativesChameleon, Intercom
no first choiceOneSignal
Three alternativesFirebase, Gleap, Tencent RTC
no first choice
Four alternativesCleverTap, CometChat, OneSignal, RingCentral Events
against: Discord, Facebook Messenger, Snapchat, TeleMessage, Telegram
GPT-6 LunaUserpilot
Three alternativesAppcues, Intercom, Pendo
UserlistChanged
Three alternativesAppcues, Customer.io, Intercom
no first choice
Seven alternativesAppcues, Braze, CleverTap, Customer.io, Intercom, MoEngage, OneSignal
Crisp
One alternativeChatwoot
no first choiceagainst: Intercom, Telegram
Muse Glimmer 30BAppcues, Userpilot
Four alternativesBraze, Intercom, Pendo, Product Fruits
IntercomChanged
Two alternativesCustomer.io, Pendo
no first choiceOneSignal, Tencent RTC Chatagainst: Ably, Pusher Channelsno first choiceagainst: LINE, Meta Messenger / Facebook Messenger, Rakuten Viber Messenger, TeleMessage, Telegram, WeChat, WhatsApp
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 14:03yes98 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 12:03yes37 s
Direct recommendationGemini 3.5 Flashgemini-3.5-flash2026-10-01 10:01yes1322 s
Direct recommendationPerplexity Sonarsonar2026-10-01 07:54yes173 s
Direct recommendationGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 14:01yes2311 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-10-01 14:07yes53 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 12:09yes1328 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 07:52yes51 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 09:29no032 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-10-01 09:13yes2121 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 11:09yes1930 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 11:52yes920 s
Direct recommendationGPT-6 Lunagpt-6-luna2026-10-01 11:59yes413 s
Direct recommendationMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 10:14yes1830 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 11:26yes178 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 07:47yes46 s
ParaphraseGemini 3.5 Flashgemini-3.5-flash2026-10-01 10:09yes1024 s
ParaphrasePerplexity Sonarsonar2026-10-01 13:20yes192 s
ParaphraseGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 10:14yes247 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-10-01 14:13yes105 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 13:32yes2539 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 12:42yes52 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 10:37yes1036 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-10-01 12:42yes1923 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 14:19yes15265 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 10:16yes1031 s
ParaphraseGPT-6 Lunagpt-6-luna2026-10-01 12:35yes415 s
ParaphraseMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 14:10yes2322 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 10:14yes97 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 11:53yes66 s
ComparativeGemini 3.5 Flashgemini-3.5-flash2026-10-01 13:18yes2322 s
ComparativePerplexity Sonarsonar2026-10-01 07:35yes186 s
ComparativeGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 11:12yes1710 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-10-01 09:09yes57 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 10:17yes2335 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 13:08yes52 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 08:09yes529 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-10-01 10:32yes1318 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 12:42yes1944 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 13:39yes514 s
ComparativeGPT-6 Lunagpt-6-luna2026-10-01 08:36yes618 s
ComparativeMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 09:38yes1433 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 13:45yes97 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 14:00no03 s
Budget constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-01 09:53yes1518 s
Budget constrainedPerplexity Sonarsonar2026-10-01 08:52yes283 s
Budget constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 08:45yes2415 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-10-01 08:38yes114 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 10:32yes2320 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 09:26yes51 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 09:09yes939 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-01 09:47yes1119 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 08:02yes2495 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 07:25yes520 s
Budget constrainedGPT-6 Lunagpt-6-luna2026-10-01 09:19yes212 s
Budget constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 08:33yes1419 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 08:58no06 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 12:06no012 s
Scale constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-01 09:00yes1128 s
Scale constrainedPerplexity Sonarsonar2026-10-01 13:45yes198 s
Scale constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 10:41yes136 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-10-01 07:31no06 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 11:31yes1822 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 10:56yes52 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 13:14yes1058 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-01 08:05yes2231 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 12:18yes2142 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 09:22yes517 s
Scale constrainedGPT-6 Lunagpt-6-luna2026-10-01 08:32yes214 s
Scale constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 08:01yes1334 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 14:08yes98 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 09:41yes47 s
Negative framingGemini 3.5 Flashgemini-3.5-flash2026-10-01 13:14yes1728 s
Negative framingPerplexity Sonarsonar2026-10-01 08:56yes243 s
Negative framingGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 08:24yes247 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-10-01 12:41yes54 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 12:46yes2426 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 10:01yes52 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 09:29yes2082 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-10-01 13:43yes2427 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 14:11yes1349 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 11:45yes914 s
Negative framingGPT-6 Lunagpt-6-luna2026-10-01 08:07yes316 s
Negative framingMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 09:09yes1223 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
GetStream read as Stream Chat
GetStream (Stream Chat) read as Stream Chat
Oracle read as Oracle Service Cloud
Stream read as Stream Chat
Stream (GetStream) read as Stream Chat
Stream (GetStream.io) read as Stream Chat
Twilio read as Twilio Conversations
Unresolved, counted raw
Apple iMessage
Chat-SDK
Chat21
Crescendo
Ejabberd (XMPP)
EngageLab EngageSDK
Google Hangouts
LinkedIn
Meta Messenger / Facebook Messenger
Pusher Channels
Rakuten Viber Messenger
SMS
SMS / Standard SMS-Based Messaging
SMS/MMS (Standard Texting)
Salesforce
Standard SMS/MMS/RCS
TapTalk.io
Twilio Inc.
Twilio SDK
Viber
Discontinued, still offered
No shut-down product was recommended here.
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