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

Digital adoption and onboarding

Asked as “digital adoption platform”, and as “in-product onboarding and user guidance tool”, on behalf of a mid-market B2B company. 60 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
30%
Contested · UserGuiding 22%
30Userpilot22UserGuiding13Whatfix35others

30% of first choices, contested.

Since September 2026▼−2Since September 2026: 29% → 27%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Userpilot held the lead, −2 points on 29%, 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
01Userpilot30%12%49endorsed leader▼−2Since September 2026: 29% → 27%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.29% → 27%
02UserGuiding22%7%41accepted challenger▼−2Since September 2026: 21% → 19%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.21% → 19%
03Whatfix13%39%56criticized challenger▲+1Since September 2026: 15% → 15%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.15% → 15%
04Pendo8%33%60criticized challenger▼−1Since September 2026: 10% → 10%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.10% → 10%
05Appcues5%14%42accepted challenger▼−2Since September 2026: 6% → 4%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.6% → 4%
06Tango3%0%10accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 4%
07Chameleon2%5%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%
08Userlane2%7%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%
09Apty2%7%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%
Show the two products at 0%, ordered by negative rate
11WalkMe0%57%56criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
10Product Fruits0%0%10accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%

The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one 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
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Userpilot30%
02UserGuiding22%
03Whatfix13%
04Pendo8%
05Appcues5%
06Tango3%
07Chameleon2%
08Userlane2%
09Apty2%
10Product Fruits0%
11WalkMe0%

What they warned about

Four of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, Gemini 3.5 Flash, Grok 4.1 Fast, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, GLM 4.7 FlashX, MiniMax M2.5 and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Whatfix
39%
22 of 56 labels negative · 13 of 14 models · 2 hard negative
“WalkMe and Whatfix are frequently cited as platforms to approach with caution due to their limitations and cost.” Mistral Small, negative prompt
WalkMe
57%
32 of 56 labels negative · 12 of 14 models · 6 hard negative
“**WalkMe & Whatfix (Traditional DAPs)** - **Why avoid/caution:** These platforms are often criticized for offering shallow analytics, limited segmentation” Mistral Small, negative prompt
Pendo
33%
20 of 60 labels negative · 10 of 14 models · 3 hard negative
“Skip Pendo unless your product team desperately needs a deep "system of record" for product analytics” Gemini 3.5 Flash, paraphrase prompt
Userpilot
12%
6 of 49 labels negative · 6 of 14 models · 1 hard negative
“Avoid "Product-Led Growth" Onboarding Tools (e.g., Appcues, Userflow, Chameleon, Userpilot)” Gemini 3.5 Flash, 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

78 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 936 links across 166 sites, every framing counted. Ranked by the number of answers carrying the site or page. 3 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 · Userpilot48 answers · 73 citations · 13 models
vendor site · Guideflow36 answers · 53 citations · 10 models
36 answers · 38 citations · 12 models
vendor site · Pendo31 answers · 32 citations · 12 models
30 answers · 62 citations · 14 models
vendor site · Appcues30 answers · 44 citations · 12 models
vendor site · Apty30 answers · 41 citations · 12 models
vendor site · Chameleon23 answers · 30 citations · 11 models
vendor site · Whatfix22 answers · 30 citations · 12 models
vendor site · Gartner21 answers · 21 citations · 10 models
vendor site · UserGuiding20 answers · 33 citations · 10 models
vendor site · WalkMe20 answers · 23 citations · 12 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 digital adoption platform”, “digital adoption 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
Userpilot userpilot.com30%2511,6001062,0846
UserGuiding userguiding.com22%16339009,8192
Whatfix whatfix.com13%1732,4006531,568$29,894543
Pendo pendo.io8%42012,10076119,185$3,609935
Appcues appcues.com5%2261,9002618,5062
Tango tango.ai3%36301,00021,33667,29142
HelpHero helphero.co3%74800
Chameleon chameleon.io2%86246,00024,2934,26801
Userlane userlane.com2%392102327
Apty apty.ai2%481,900803,07710

Google's top ten for the two searches hold 15 sites; 5 of them are among the sites the models cited here (chameleon.io, gartner.com, pendo.io, walkme.com, whatfix.com). The first result for “best digital adoption platform” is chameleon.io.

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 digital adoption platform for a mid-market B2B company?”Paraphrase“Which in-product onboarding and user guidance tool would you recommend to a mid-sized B2B company?”Comparative“What are the top digital adoption platforms and how do they differ?”Budget-constrained“What is the best digital adoption platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a digital adoption platform. What should we look at?”Negative“Which digital adoption platforms should I avoid or be cautious about?”
Claude Haiku 4.5Appcues, UserGuiding
Four alternativesPendo, Product Fruits, Userpilot, Whatfix
Appcues, PendoChanged
Two alternativesChameleon, UserGuiding
against: WalkMe
no first choiceUserGuiding
Four alternativesHopscotch, Product Fruits, StepsKit, Usetiful
no first choiceagainst: Apty, Hopscotch, Pendo, WalkMe, Whatfix
GPT-5.4 miniUserpilot
Three alternativesPendo, WalkMe, Whatfix
UserpilotHeld
Four alternativesAppcues, Chameleon, Pendo, WalkMe
no first choiceUserGuiding
One alternativeUserpilot
against: WalkMe, Whatfix
no first choicenothing named
Gemini 3.5 FlashUserpilot
Five alternativesAppcues, Spekit, Tango, Userflow, Whatfix
against: WalkMe
UserflowChanged
Two alternativesAppcues, Userpilot
against: Pendo
WalkMe, Whatfix
Five alternativesAppcues, Apty, Frigade, Pendo, Userpilot
Produktly, Tango
Five alternativesGuidde, HelpHero, Product Fruits, UserGuiding, Userlane
against: Appcues, Pendo, WalkMe, Whatfix
Lemon Learning, Spekit, Userlane
Three alternativesGuidde, Pendo, Userflow
against: WalkMe, Whatfix
against: Appcues, Chameleon, Gainsight PX, Pendo, Userflow, Userpilot, WalkMe, Whatfix
Perplexity SonarUserpilot
Two alternativesChameleon, Product Fruits
against: Pendo, Whatfix
UserpilotHeld
Three alternativesAppcues, Chameleon, Pendo
no first choiceUserGuiding
Two alternativesGuideflow, Supademo
against: Userpilot
no first choicenothing named
Grok 4.1 FastPendo, Userpilot
Two alternativesUserGuiding, Whatfix
against: WalkMe
UserpilotChanged
Two alternativesAppcues, Chameleon
against: Intercom, Pendo
Whatfix
Three alternativesAppcues, Pendo, WalkMe
UserGuiding
Four alternativesHelpHero, Pendo, Product Fruits, StepsKit
against: Appcues, Userpilot, Usetiful
Whatfix
Two alternativesPendo, Userlane
against: WalkMe
against: Pendo, WalkMe, Whatfix
Mistral SmallPendo, Whatfix
Two alternativesGainsight PX, Userpilot
Userpilot, WhatfixChanged
One alternativeProduct Fruits
against: WalkMe
no first choiceagainst: WalkMe, WhatfixUserGuiding
One alternativeChameleon
no first choiceagainst: WalkMe, Whatfix
DeepSeek V4 FlashWhatfix
Three alternativesAppcues, UserGuiding, Userpilot
against: Pendo, WalkMe
UserpilotChanged
One alternativeAppcues
against: Pendo, UserGuiding, WalkMe, Whatfix
WalkMe, Whatfix
Seven alternativesAppcues, Apty, Gainsight PX, Pendo, Spekit, Userlane, Userpilot
HelpHero
Four alternativesDock, Pendo, Tour Kit, UserGuiding
Apty, Pendo, Whatfixagainst: WalkMeagainst: Pendo, WalkMe, Whatfix
Llama 4 MaverickChameleon
Three alternativesSkalin, UserGuiding, Userflow
Inline ManualChanged
Two alternativesProduct Fruits, UserGuiding
no first choiceHelpHero, UserGuiding
One alternativeGuideflow
no first choicenothing named
Qwen 3.7 FlashWhatfix
Three alternativesAppcues, Pendo, WalkMe
against: Microsoft Viva + Teams
UserpilotChanged
Two alternativesAppcues, UserGuiding
against: Pendo
WalkMe, Whatfix
Three alternativesPendo, Tango, Userpilot
Tango, UserGuiding
One alternativeChameleon
against: WalkMe, Whatfix
no first choice
Five alternativesChameleon, Pendo, Tango, Userlane, WalkMe
against: Pendo, UserGuiding, Userpilot, WalkMe, Whatfix
Kimi K2Userpilot
Three alternativesAppcues, Product Fruits, Whatfix
against: Pendo, WalkMe
UserpilotHeld
Three alternativesAppcues, Chameleon, UserGuiding
against: Pendo, WalkMe, Whatfix
Pendo, WalkMe
Five alternativesAppcues, Spekit, Userlane, Userpilot, Whatfix
UserGuiding
Two alternativesToonimo, Userpilot
against: Appcues
no first choice
Three alternativesApty, Pendo, UserGuiding
against: Appcues, Pendo, Userlane, Userpilot, WalkMe, Whatfix
GLM 4.7 FlashXWhatfix
Five alternativesAppcues, Pendo, Product Fruits, UserGuiding, Userpilot
against: WalkMe
UserpilotChanged
Two alternativesAppcues, UserGuiding
against: Pendo
WalkMe, Whatfix
Six alternativesAppcues, Gainsight PX, Guideflow, Pendo, UserGuiding, Userpilot
against: Guidde
Guideflow
Four alternativesGuidde, HelpHero, UserGuiding, Whatfix
no first choiceagainst: Pendo, Userpilot, WalkMe, Whatfix
MiniMax M2.5Pendo, Whatfix
One alternativeAppcues
UserpilotChanged
Two alternativesAppcues, Pendo
against: WalkMe, Whatfix
WalkMe
Five alternativesAppcues, Pendo, UserGuiding, Userlane, Whatfix
UserGuiding
One alternativeAppcues
against: WalkMe
no first choiceagainst: WalkMe, Whatfix
GPT-6 LunaUserpilot
Two alternativesPendo, Whatfix
against: WalkMe
UserpilotHeld
Two alternativesAppcues, Pendo
WalkMe, Whatfix
Three alternativesAppcues, Oracle Guided Learning, Pendo
UserGuiding
One alternativePendo
against: Whatfix
no first choiceagainst: Appcues, Pendo, WalkMe, Whatfix
Muse Glimmer 30BUserGuiding, Userpilot
Four alternativesGainsight PX, Pendo, Spekit, Whatfix
against: WalkMe
AppcuesChanged
Two alternativesChameleon, Userpilot
against: Pendo
WalkMe, Whatfix
Five alternativesAppcues, Apty, Pendo, Userlane, Userpilot
UserGuiding
One alternativeHelpHero
against: WalkMe, Whatfix
Userpilot
Five alternativesGuideflow, Pendo, Userlane, WalkMe, Whatfix
against: Pendo, UserGuiding, WalkMe, Whatfix
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 11:29yes98 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 12:34yes34 s
Direct recommendationGemini 3.5 Flashgemini-3.5-flash2026-10-01 14:02yes1325 s
Direct recommendationPerplexity Sonarsonar2026-10-01 07:33yes183 s
Direct recommendationGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 11:09yes238 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-10-01 12:34yes75 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 12:44yes2435 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 10:10yes52 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 11:51no034 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-10-01 13:03yes1521 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 12:57yes2576 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 11:10yes517 s
Direct recommendationGPT-6 Lunagpt-6-luna2026-10-01 11:55yes416 s
Direct recommendationMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 09:35yes1523 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 08:39no05 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 12:47yes35 s
ParaphraseGemini 3.5 Flashgemini-3.5-flash2026-10-01 13:33yes1324 s
ParaphrasePerplexity Sonarsonar2026-10-01 08:16yes203 s
ParaphraseGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 12:35yes246 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-10-01 12:05yes53 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 13:25yes1924 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 08:26yes52 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 09:25yes517 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-10-01 13:58yes2430 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 09:01yes1543 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 11:20yes1021 s
ParaphraseGPT-6 Lunagpt-6-luna2026-10-01 08:53yes415 s
ParaphraseMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 13:34yes1519 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 13:41yes1018 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 08:38yes68 s
ComparativeGemini 3.5 Flashgemini-3.5-flash2026-10-01 11:28yes1023 s
ComparativePerplexity Sonarsonar2026-10-01 09:55yes167 s
ComparativeGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 09:37yes2214 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-10-01 14:08yes1210 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 10:04yes2236 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 07:27yes52 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 12:34no034 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-10-01 10:01yes1526 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 11:18yes1952 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 10:41yes550 s
ComparativeGPT-6 Lunagpt-6-luna2026-10-01 12:07yes726 s
ComparativeMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 08:52yes1326 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 13:49yes97 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 08:16yes24 s
Budget constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-01 09:01yes2021 s
Budget constrainedPerplexity Sonarsonar2026-10-01 08:36yes122 s
Budget constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 09:33yes206 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-10-01 09:38yes53 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 14:07yes1421 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 08:19yes51 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 12:50yes517 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-01 08:38yes1015 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 13:16yes1523 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 11:55yes514 s
Budget constrainedGPT-6 Lunagpt-6-luna2026-10-01 10:44yes313 s
Budget constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 07:43yes1219 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 11:59no05 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 12:28no05 s
Scale constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-01 08:52yes926 s
Scale constrainedPerplexity Sonarsonar2026-10-01 13:05yes184 s
Scale constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 12:35yes147 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-10-01 10:59no04 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 10:23yes2036 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 09:18yes53 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 08:31yes837 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-01 11:55yes1320 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 13:12yes1226 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 09:35yes514 s
Scale constrainedGPT-6 Lunagpt-6-luna2026-10-01 12:47yes320 s
Scale constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 07:58yes1327 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 09:58yes1611 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 12:40yes36 s
Negative framingGemini 3.5 Flashgemini-3.5-flash2026-10-01 08:33yes1629 s
Negative framingPerplexity Sonarsonar2026-10-01 09:22yes203 s
Negative framingGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 10:10yes1912 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-10-01 11:52yes55 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 07:28yes2537 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 10:30yes51 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 09:33yes834 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-10-01 12:03yes2533 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 11:29yes2230 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 13:11yes518 s
Negative framingGPT-6 Lunagpt-6-luna2026-10-01 12:31yes520 s
Negative framingMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 09:43yes1525 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
None. Every name in this category resolved on its own.
Unresolved, counted raw
AppLearn
Chameleon.io
Frudge
Pendo.io
Torch
Discontinued, still offered
No shut-down product was recommended here.
← HelpdeskIn-app messaging →