November 2026 Edition · The permanent record of this edition. The unqualified address always carries the latest edition.
Index › GTM › Marketing › Experimentation · November 2026 Edition

Experimentation and personalization

Asked as “website experimentation and personalization platform”, and as “A/B testing and personalization tool”, on behalf of a mid-market B2B company. 61 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
31%
Contested · Convert Experiences 16%
31VWO16Convert Experiences08GrowthBook44others

31% of first choices, contested.

Since October 2026▲+4Since October 2026: 27% → 31%, +4 points. Inside the 11-point floor: within noise.VWO held the lead, +4 points on 27%, inside the 11-point floor.
ShowinginAll 112 categories in the November 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 a mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026
01VWO31%14%65endorsed leader▲+4Since October 2026: 27% → 31%, +4 points. Inside the 11-point floor: within noise.27% → 31%
02Convert Experiences16%5%41accepted challenger▼−8Since October 2026: 24% → 16%, −8 points. Inside the 11-point floor: within noise.24% → 16%
03GrowthBook8%0%24accepted challenger▼−7Since October 2026: 15% → 8%, −7 points. Inside the 11-point floor: within noise.15% → 8%
04Personyze5%0%18accepted challenger▲+3Since October 2026: 2% → 5%, +3 points. Inside the 11-point floor: within noise.2% → 5%
05Optimizely CMS5%46%61criticized challenger▼−2Since October 2026: 7% → 5%, −2 points. Inside the 11-point floor: within noise.7% → 5%
06PostHog3%0%21accepted challenger▼−1Since October 2026: 4% → 3%, −1 point. Inside the 11-point floor: within noise.4% → 3%
07AB Tasty2%17%30accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%
08Mutiny2%31%16criticized challenger▼−5Since October 2026: 7% → 2%, −5 points. Inside the 11-point floor: within noise.7% → 2%
Show the six products at 0%, ordered by negative rate
14Google Optimize Lab in the set0%69%13criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
13Adobe Target0%50%40criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
12Dynamic Yield0%10%20accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
09Kameleoon0%9%32accepted challenger▼−4Since October 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise.4% → 0%
10Statsig0%5%21accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
11LaunchDarkly0%0%17accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.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 can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. 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.

Google Optimize is made by Google, whose model Gemini 3.5 Flash is in the set. On the four share prompts that model made it the first choice zero times of 4; the other thirteen models zero times of 52. Lab treatment is defined on the method page; the row is marked, not excluded.

All twenty-eight head-to-head pages: the top eight products, each against each

Recommended versus criticized

Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.

Criticized challengerCriticized default
Negative label rate →
01
02
03
04
05
06
07
08
09
10
11
12
13
14
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01VWO31%
02Convert Experiences16%
03GrowthBook8%
04Personyze5%
05Optimizely CMS5%
06PostHog3%
07AB Tasty2%
08Mutiny2%
09Kameleoon0%
10Statsig0%
11LaunchDarkly0%
12Dynamic Yield0%
13Adobe Target0%
14Google Optimize0%

What they warned about

Two of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Grok 4.20, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Kimi K2, 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.
Optimizely CMS
46%
28 of 61 labels negative · 12 of 14 models · 6 hard negative
“you should exercise significant caution with Optimizely, particularly regarding its cost structure, support quality, and technical performance” Qwen 3.7 Flash, negative prompt
Adobe Target
50%
20 of 40 labels negative · 10 of 14 models · 4 hard negative
“Avoid beginning with Optimizely, Adobe Target, Kameleoon, or AB Tasty” Perplexity Sonar, budget prompt
VWO
14%
9 of 65 labels negative · 9 of 14 models · 2 hard negative
“Avoid VWO if page speed and user trust are critical, or if you have limited technical support.” GLM 4.7 FlashX, negative prompt
Google Optimize
69%
9 of 13 labels negative · 5 of 14 models · 7 hard negative
“Why avoid: Google discontinued the product entirely. If you're still using it, you're running on unsupported infrastructure.” Kimi K2, negative prompt

What they cite

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.

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. 839 links across 250 sites, every framing counted. Ranked by the number of answers carrying the site or page. 28 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 · Convert36 answers · 69 citations · 12 models
vendor site · Personyze29 answers · 34 citations · 10 models
vendor site · Croct26 answers · 36 citations · 11 models
vendor site · Optimizely23 answers · 31 citations · 12 models
vendor site · SMARTe17 answers · 17 citations · 9 models
vendor site · GrowthBook15 answers · 22 citations · 7 models
vendor site · Webflow15 answers · 15 citations · 8 models
vendor site · Mida14 answers · 14 citations · 10 models
13 answers · 28 citations · 6 models
vendor site · Wingify12 answers · 13 citations · 7 models
11 answers · 11 citations · 6 models
9 answers · 9 citations · 6 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 website experimentation and personalization platform”, “website experimentation and personalization 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
VWO vwo.com31%14722,20044925,874145
Convert Experiences convert.com16%79502220,8821
GrowthBook growthbook.io8%872,9001426,64626
OptiMonk optimonk.com7%16
Zoho parent site
Zoho PageSense 7%
7%402606
Personyze personyze.com5%475015360
HubSpot parent site
HubSpot Content Hub 5%
5%318368,0009,776
Optimizely optimizely.com
Optimizely CMS 5%
5%22960,50036,211200,757 company$21203
PostHog posthog.com3%42033,10027125,936120
Croct croct.com3%227

Google's top ten for the two searches hold 17 sites; 3 of them are among the sites the models cited here (blog.croct.com, mida.so, optimizely.com). The first result for “best website experimentation and personalization platform” is gartner.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.
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ModelDirect“What is the best website experimentation and personalization platform for a mid-market B2B company?”Paraphrase“Which A/B testing and personalization tool would you recommend to a mid-sized B2B company?”Comparative“What are the top experimentation and personalization platforms and how do they differ?”Budget-constrained“What is the best website experimentation and personalization platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a website experimentation and personalization platform. What should we look at?”Negative“Which experimentation and personalization platforms should I avoid or be cautious about?”
Claude Haiku 4.5VWO
Two alternativesMutiny, Personyze
against: Convert Experiences, Salesforce Marketing Cloud Personalization
AB TastyChanged
Three alternativesConvert Experiences, Kameleoon, VWO
Optimizely CMS
Seven alternativesAB Tasty, Autobound, CleverTap, Dynamic Yield, Kameleoon, Monetate, VWO
OptiMonk, Personizely
Two alternativesPersonyze, PostHog
against: Optimizely CMS
Optimizely CMS, VWOnothing named
GPT-5.4 miniOptimizely CMS
Three alternativesAdobe Target, Dynamic Yield, VWO
VWOChanged
Three alternativesAdobe Target, Convert Experiences, Optimizely CMS
Optimizely CMS
Three alternativesAB Tasty, Split, VWO
Zoho PageSense
One alternativeConvert Experiences
against: Optimizely CMS
no first choicenothing named
Gemini 3.5 FlashVWO
Three alternativesAB Tasty, HubSpot Marketing Hub, Kameleoon
against: Adobe Target, Mutiny, Optimizely CMS
MutinyChanged
Three alternativesConvert Experiences, Kameleoon, VWO
against: Optimizely CMS
Optimizely CMS
Nine alternativesAB Tasty, Adobe Target, Dynamic Yield, GrowthBook, Harness, Kameleoon, LaunchDarkly, PostHog, VWO
GrowthBook
Five alternativesConvert Experiences, ConvertFlow, Nelio A/B Testing, PostHog, Statsig
against: Optimizely CMS, VWO
no first choiceagainst: Adobe Target, Coveo, Google Optimize, Monetate, Optimizely CMS, Qubit, Salesforce Marketing Cloud Personalization
Perplexity SonarHubSpot Content Hub
Five alternativesAbmatic AI, Croct, Mutiny, VWO, Webflow Optimize
against: Optimizely CMS
Convert ExperiencesChanged
Five alternativesAB Tasty, GrowthBook, Optimizely CMS, PostHog, VWO
Optimizely CMS
Eleven alternatives6sense, AB Tasty, Adobe Target, Bloomreach, Demandbase, Dynamic Yield, LaunchDarkly, Mutiny, Salesforce Marketing Cloud Personalization, Statsig, VWO
Croct
Four alternativesGrowthBook, Mida, OptiMonk, PostHog
against: AB Tasty, Adobe Target, HubSpot Smart Content, Kameleoon, Optimizely CMS
no first choiceagainst: Adobe Target, Dynamic Yield, Kameleoon, Mutiny, Ninetailed, Optimizely CMS
Grok 4.20Croct
Three alternativesAB Tasty, Kameleoon, VWO
against: 6sense, Adobe Target, Demandbase, Optimizely CMS
Convert ExperiencesChanged
Three alternativesOptimizely CMS, Personyze, VWO
against: AB Tasty, ABsmartly, Adobe Target, Google Optimize
VWO, Wingify
Seven alternativesAdobe Target, Convert Experiences, GrowthBook, Optimizely CMS, Personyze, PostHog, Statsig
GrowthBook, PostHog
Three alternativesConvert Experiences, Crazy Egg, VWO
against: Adobe Target, Google Optimize, Kameleoon, Optimizely CMS
no first choiceagainst: Google Optimizeagainst: AB Tasty, Adobe Target, Optimizely CMS, VWO, Wingify
Mistral SmallHubSpot Content Hub
Three alternativesOptimizely CMS, Personyze, VWO
Convert Experiences, VWOChanged
One alternativeP Personyze
against: Optimizely CMS
no first choiceOptiMonk
Three alternativesCroc, RightMessage, Varify.io
no first choiceagainst: Adobe Target, Optimizely CMS, VWO
DeepSeek V4 FlashConvert Experiences, VWO
Two alternativesMutiny, Personyze
Convert ExperiencesChanged
Two alternativesVWO, Varify.io
against: AB Tasty, Adobe Target, Mutiny, Optimizely CMS
no first choice
Ten alternativesAB Tasty, Bloomreach, Dynamic Yield, GrowthBook, Kameleoon, LaunchDarkly, Monetate, Optimizely CMS, Statsig, VWO
against: Adobe Target
Zoho PageSense
Two alternativesGrowthBook, PostHog
Convert Experiences, VWO
Three alternativesDynamic Yield, Kameleoon, Optimizely CMS
against: Adobe Target
against: Adobe Target, Optimizely CMS, VWO
Llama 4 MaverickHubSpot Content HubConvert Experiences, Personyze, VWOChangedno first choiceOptiMonk
Three alternativesGrowthBook, PostHog, VWO
no first choiceagainst: Mutiny
Qwen 3.7 FlashVWO
Two alternativesConvert Experiences, Mutiny
against: Optimizely CMS
VWOHeld
Three alternativesConvert Experiences, Optimizely CMS, PostHog
no first choice
Nine alternativesAdobe Target, Dynamic Yield, Kameleoon, LaunchDarkly, Nosto, Optimizely CMS, PostHog, Statsig, VWO
Zoho PageSense
Three alternativesGA4 Experiments, Microsoft Clarity, Visual Website Optimizer
against: Optimizely CMS
ab t tasty
Three alternativesConvert Experiences, Dynamic Yield, VWO
against: Optimizely CMS
against: Adobe Target, Optimizely CMS
Kimi K2VWO
Two alternativesMutiny, Personyze
against: Adobe Target, Dynamic Yield, Optimizely CMS
Convert Experiences, VWOChanged
One alternativeMutiny
against: Optimizely CMS
Optimizely CMS, VWO
Seven alternativesAdobe Target, Convert Experiences, Dynamic Yield, Kameleoon, LaunchDarkly, Monetate, Split
against: Google Optimize
GrowthBook, PageDuel
Four alternativesAmplitude, Crazy Egg, PostHog, Varify.io
VWO
Two alternativesGrowthBook, Kameleoon
against: Adobe Target, Optimizely CMS
against: Adobe Experience Manager, Adobe Target, Google Optimize, Optimizely CMS, VWO
GLM 4.7 FlashXPersonyze
Four alternativesHubSpot Content Hub, Optimizely CMS, Right Message, VWO
Convert ExperiencesChanged
Two alternativesKameleoon, Varify.io
Optimizely CMS, VWO
Six alternativesAB Tasty, ABsmartly, Adobe Target, Convert Experiences, GrowthBook, Statsig
OptiMonk, Zoho PageSense
Five alternativesCrazy Egg, Croct, FigPii, Personizely, VWO
no first choiceagainst: AB Tasty, Adobe Target, Optimizely CMS, VWO
MiniMax M2.5Personyze
Two alternativesConvert Experiences, VWO
against: Optimizely CMS
Optimizely CMS, VWOChanged
Two alternativesHubSpot's Native A/B Testing, Kameleoon
against: Google Optimize
Optimizely CMS
Eleven alternativesAB Tasty, Adobe Target, Amplitude, Eppo, GrowthBook, Kameleoon, LaunchDarkly, Mutiny, PostHog, Statsig, VWO
GrowthBook, VWO
Two alternativesConvertize, PostHog
no first choiceagainst: Adobe Target, Google Optimize, Optimizely CMS, VWO
GPT-6 LunaVWO
One alternativeAB Tasty
against: Mutiny
VWOHeld
One alternativeStatsig
AB Tasty, Optimizely CMS, VWO
Four alternativesAdobe Target, Dynamic Yield, LaunchDarkly, Statsig
Mida
One alternativePostHog
against: VWO
no first choiceagainst: Google Optimize, Gravy Analytics, Mobilewalla, Venntel
Muse Glimmer 30BVWO
Four alternativesConvert Experiences, Mutiny, Optimizely CMS, Personyze
Convert Experiences, VWOChanged
Two alternativesOptimizely CMS, Personyze
against: Adobe Target
Optimizely CMS
Five alternativesAB Tasty, Adobe Target, Kameleoon, LaunchDarkly, VWO
GrowthBook, PostHog
Two alternativesOptiMonk, Optibase
against: Convert Experiences, VWO
no first choiceagainst: Optimizely CMS, Statsig
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.
Eighty-four rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 11:38yes107 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 12:12yes46 s
Direct recommendationGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 10:13yes623 s
Direct recommendationPerplexity Sonarsonar2026-11-01 08:51yes103 s
Direct recommendationGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 17:14yes1114 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-11-01 08:47yes55 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 16:35yes918 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 10:56yes53 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 11:14yes522 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-11-01 15:43yes927 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 15:39yes2530 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 12:12yes1027 s
Direct recommendationGPT-6 Lunagpt-6-luna2026-11-01 14:06yes322 s
Direct recommendationMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 16:10yes1326 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 13:56yes179 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 08:43yes45 s
ParaphraseGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 10:28no014 s
ParaphrasePerplexity Sonarsonar2026-11-01 14:09yes104 s
ParaphraseGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 14:30yes510 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-11-01 13:03yes57 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 10:00yes2322 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 15:12yes53 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 10:13no029 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-11-01 11:43yes1521 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 11:15yes2040 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 08:41no014 s
ParaphraseGPT-6 Lunagpt-6-luna2026-11-01 13:52yes213 s
ParaphraseMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 11:51yes1321 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 11:59yes99 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 17:14yes67 s
ComparativeGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 14:16yes722 s
ComparativePerplexity Sonarsonar2026-11-01 15:27yes107 s
ComparativeGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 16:44yes514 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-11-01 15:39yes57 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 13:06yes2547 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 09:20yes52 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 11:23yes523 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-11-01 14:43yes2548 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 12:12yes1525 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 13:46yes1029 s
ComparativeGPT-6 Lunagpt-6-luna2026-11-01 14:48yes830 s
ComparativeMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 10:59yes2024 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 15:47yes98 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 12:01yes34 s
Budget constrainedGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 12:07yes1220 s
Budget constrainedPerplexity Sonarsonar2026-11-01 09:45yes104 s
Budget constrainedGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 17:11yes912 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-11-01 10:25yes55 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 15:31yes2428 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 08:40yes52 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 10:08yes530 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-11-01 10:18yes1019 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 14:17yes1518 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 12:36yes940 s
Budget constrainedGPT-6 Lunagpt-6-luna2026-11-01 17:20yes318 s
Budget constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 08:48yes1421 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 09:57yes910 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 11:00no08 s
Scale constrainedGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 09:58no019 s
Scale constrainedPerplexity Sonarsonar2026-11-01 09:22yes109 s
Scale constrainedGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 16:06yes515 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-11-01 14:07no07 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 14:04yes2447 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 10:31yes53 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 13:11no030 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-11-01 16:28yes2536 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 10:20yes1431 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 13:36yes536 s
Scale constrainedGPT-6 Lunagpt-6-luna2026-11-01 17:19yes428 s
Scale constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 13:50yes1427 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 14:26yes98 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 11:57yes47 s
Negative framingGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 16:49no022 s
Negative framingPerplexity Sonarsonar2026-11-01 16:14yes104 s
Negative framingGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 15:24yes2018 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-11-01 16:29yes57 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 08:38yes2426 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 15:02yes54 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 13:30yes1531 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-11-01 10:27yes2559 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 16:56yes2471 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 10:25yes2357 s
Negative framingGPT-6 Lunagpt-6-luna2026-11-01 13:17yes318 s
Negative framingMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 17:33yes2532 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
Convert read as Convert Experiences
Convert.com read as Convert Experiences
Evergage read as Salesforce Marketing Cloud Personalization
HubSpot read as HubSpot Content Hub
Salesforce Personalization read as Salesforce Marketing Cloud Personalization
Unresolved, counted raw
Conductrics
Croc
CustomFit
Evolv AI
GA4 Experiments
Harness (includes Split.io)
HubSpot's Native A/B Testing
Neat A/B
Nelio A/B Testing
Omniconvert Explore
Optimizely Feature Experimentation
Optimizely SaaS CMS
Optimizely X
P Personyze
PageDuel
Right Message
SAP
Salesforce
Wingify formerly VWO
ab t tasty
Discontinued, still offered
No shut-down product was recommended here.
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