Digital adoption and onboarding for enterprise buyers
Asked as “digital adoption platform”, and as “in-product onboarding and user guidance tool”, on behalf of an enterprise B2B company. 56 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
36%
Contested · WalkMe 34%
36Whatfix34WalkMe11Pendo20others
36% of first choices, contested.
Since September 2026▲+7Since September 2026: 26% → 33%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Whatfix held the lead, +7 points on 26%, 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.
Small business
UserGuiding56%Clear leader▲+11Since September 2026: 44% → 55%, +11 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →Mid-market
Userpilot30%Contested▼−2Since September 2026: 29% → 27%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Enterprise
Whatfix36%Contested▼−2Since September 2026: 39% → 38%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This page
UserGuiding56%Clear leader▲+11Since September 2026: 44% → 55%, +11 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →Mid-marketUserpilot30%Contested▼−2Since September 2026: 29% → 27%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →EnterpriseWhatfix36%Contested▼−2Since September 2026: 39% → 38%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This pageThe 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
01Whatfix36%18%61endorsed leader▲+7Since September 2026: 26% → 33%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.26% → 33%
Whatfix36%18%61endorsed leader▲+7Since September 2026: 26% → 33%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.26% → 33%02
WalkMe34%30%70criticized default▼−2Since September 2026: 39% → 38%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.39% → 38%
WalkMe34%30%70criticized default▼−2Since September 2026: 39% → 38%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.39% → 38%03
Pendo11%25%59criticized challenger=heldSince September 2026: 11% → 10%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.11% → 10%
Pendo11%25%59criticized challenger=heldSince September 2026: 11% → 10%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.11% → 10%04
Userlane7%5%19accepted challenger▲+4Since September 2026: 2% → 6%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 6%
Userlane7%5%19accepted challenger▲+4Since September 2026: 2% → 6%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 6%05
Apty4%8%25accepted challenger▼−7Since September 2026: 9% → 2%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.9% → 2%
Apty4%8%25accepted challenger▼−7Since September 2026: 9% → 2%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.9% → 2%06Userpilot4%39%23criticized challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 4%
Userpilot4%39%23criticized challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 4%07UserGuiding2%9%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%
UserGuiding2%9%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%08
Appcues2%50%28criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
Appcues2%50%28criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%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
Userpilot vs AppcuesUserpilot vs TangoUserpilot vs ChameleonUserpilot vs UserlaneUserGuiding vs WhatfixUserGuiding vs PendoUserGuiding vs AppcuesUserGuiding vs TangoUserGuiding vs ChameleonUserGuiding vs UserlaneWhatfix vs PendoWhatfix vs AppcuesWhatfix vs TangoWhatfix vs ChameleonWhatfix vs UserlanePendo vs AppcuesPendo vs TangoPendo vs ChameleonPendo vs UserlaneAppcues vs TangoAppcues vs ChameleonAppcues vs UserlaneTango vs ChameleonTango vs UserlaneChameleon vs Userlane
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 →
0102030405060708Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Whatfix36%
Whatfix36%02WalkMe34%
WalkMe34%03Pendo11%
Pendo11%04Userlane7%
Userlane7%05Apty4%
Apty4%06Userpilot4%
Userpilot4%07UserGuiding2%
UserGuiding2%08Appcues2%
Appcues2%What they warned about
Two 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, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5, GPT-6 Luna and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
WalkMe30%
21 of 70 labels negative · 14 of 14 models · 3 hard negative
“**Bottom line**: Avoid unless you're a Fortune 500 company with a dedicated Digital Adoption team, a budget over $50K/year, and a strong SAP-centric stack.” DeepSeek V4 Flash, negative prompt
Appcues50%
14 of 28 labels negative · 10 of 14 models · 4 hard negative
“Designed for customer-facing SaaS teams, not internal employee training; lacks enterprise governance features” Kimi K2, paraphrase prompt
Pendo25%
15 of 59 labels negative · 9 of 14 models · 4 hard negative
“"Pendo: Lacks FedRAMP, limited security certifications" ... "Built for product and growth teams, not for employee process execution across enterprise systems."” Muse Glimmer 30B, negative prompt
Whatfix18%
11 of 61 labels negative · 9 of 14 models
“**Caution level: Medium-High** ... if you need predictable costs, lightweight onboarding, or robust built-in analytics, look elsewhere.” DeepSeek V4 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
81 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. 1148 links across 198 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 · Whatfix43 answers · 75 citations · 13 models
vendor site · Guideflow43 answers · 60 citations · 11 models
vendor site · Userpilot41 answers · 50 citations · 13 models
vendor site · Apty39 answers · 60 citations · 12 models
vendor site · Pendo31 answers · 41 citations · 13 models
vendor site · WalkMe30 answers · 49 citations · 12 models
28 answers · 28 citations · 11 models
26 answers · 34 citations · 12 models
vendor site · Gartner25 answers · 36 citations · 13 models
vendor site · Appcues25 answers · 30 citations · 10 models
vendor site · Lemon Learning22 answers · 25 citations · 12 models
vendor site · ZoomInfo21 answers · 33 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.
33 answers · 12 models
31 answers · 10 models
29 answers · 11 models
28 answers · 11 models
22 answers · 12 models
20 answers · 10 models
19 answers · 8 models
16 answers · 8 models
14 answers · 6 models
14 answers · 6 models
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 products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| Whatfix whatfix.com | 36% | 173 | 2,400 | 65 | 31,568 | $29,894 | 54 | 3 |
| WalkMe walkme.com | 34% | 185 | 6,600 | 321 | 70,023 | $345 | 49 | 1 |
| Pendo pendo.io | 11% | 420 | 12,100 | 761 | 19,185 | $3,609 | 93 | 5 |
| Userlane userlane.com | 7% | 39 | 210 | 2 | 327 | |||
| Apty apty.ai | 4% | 48 | 1,900 | 80 | 3,077 | 10 | ||
| Userpilot userpilot.com | 4% | 251 | 1,600 | 10 | 62,084 | 6 | ||
| UserGuiding userguiding.com | 2% | 163 | 390 | 0 | 9,819 | 2 | ||
| Lemon Learning lemonlearning.com | 2% | 9 | ||||||
| Appcues appcues.com | 2% | 226 | 1,900 | 26 | 18,506 | 2 | ||
| Spekit spekit.com | 0% | 94 | 1,900 | 15 | 3,062 | $86 | 33 |
Google's top ten for the two searches hold 15 sites; 4 of them are among the sites the models cited here (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
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.
ShowHideModelDirect“What is the best digital adoption platform for an enterprise B2B company?”Paraphrase“Which in-product onboarding and user guidance tool would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade digital adoption platforms and how do they differ?”Budget-constrained“What is the best digital adoption 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 digital adoption platform. What should we look at?”Negative“Which digital adoption platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5WalkMe, WhatfixWalkMeChangedPendo, WalkMe, WhatfixLemon Learningagainst: WalkMe, Whatfixno first choicenothing named
Three alternatives
Appcues, Pendo, UserGuidingTwo alternatives
Pendo, WhatfixTwo alternatives
Apty, Lemon LearningGPT-5.4 miniWalkMeWalkMeHeldPendo, WalkMe, WhatfixWhatfixagainst: Appcues, Pendo, WalkMeno first choicenothing named
Two alternatives
Pendo, WhatfixTwo alternatives
Pendo, UserpilotGemini 3.5 FlashPendo, WalkMeWalkMeChangedWalkMe, WhatfixUserlaneagainst: WalkMe, WhatfixWhatfixagainst: Appcues, Chameleon, Guidde, Oracle Guided Learning, SAP Enable Now, Supademo, Tango, Userflow, Userpilot, WalkMe, Whatfix
Four alternatives
Apty, Userflow, Userpilot, WhatfixThree alternatives
Appcues, Pendo, WhatfixTwo alternatives
Apty, PendoTwo alternatives
Apty, Lemon LearningThree alternatives
Pendo, Spekit, WalkMePerplexity SonarWhatfixWalkMeChangedagainst: Appcues, UserpilotWalkMe, WhatfixWhatfixagainst: WalkMeno first choicenothing named
Two alternatives
Pendo, WalkMeOne alternative
PendoFour alternatives
Apty, Assima, Oracle Guided Learning, PendoOne alternative
PendoGrok 4.1 FastWhatfixWalkMeChangedagainst: Appcues, Chameleon, Userflow, UserpilotWalkMe, Whatfixagainst: UserpilotWalkMe, Whatfixagainst: Appcues, Lemon Learning, Pendo, Userlane, UserpilotWalkMe, Whatfixagainst: Pendo, WalkMe
Two alternatives
Pendo, WalkMeTwo alternatives
Pendo, WhatfixThree alternatives
Apty, Pendo, UserlaneThree alternatives
Pendo, Spekit, UserlaneMistral SmallPendo, WalkMe, WhatfixPendoChangedWalkMeUserGuidingagainst: WalkMe, Whatfixno first choiceagainst: WalkMe
Two alternatives
Apty, JimoThree alternatives
Appcues, Userpilot, WalkMeThree alternatives
Apty, Pendo, WhatfixDeepSeek V4 FlashWhatfixWhatfixHeldagainst: Appcuesno first choiceWhatfixagainst: HowdyGo, WalkMe, ioradWalkMeagainst: Chameleon, Userpilotagainst: Apty, Pendo, WalkMe, Whatfix
Four alternatives
Apty, Lemon Learning, Userlane, WalkMeTwo alternatives
Pendo, WalkMeTwo alternatives
Pendo, UserlaneTwo alternatives
Pendo, WhatfixLlama 4 MaverickWalkMeUserpilotChangedno first choiceWalkMeWalkMeagainst: Apty, WalkMe, Whatfix
Two alternatives
Chameleon, JimoSeven alternatives
Appcues, Chameleon, GUIDEcx, Guidde, OnRamp, Rocketlane, UserGuidingOne alternative
UserpilotTwo alternatives
Userpilot, WhatfixQwen 3.7 FlashWhatfixPendoChangedPendoAppcues, Userpilotagainst: Pendo, WalkMeno first choicenothing named
Two alternatives
Userlane, WalkMeThree alternatives
Appcues, Userpilot, WalkMeThree alternatives
Userlane, WalkMe, WhatfixOne alternative
WhatfixKimi K2WalkMeWhatfixChangedagainst: Appcues, Pendo, UserGuiding, UserpilotWalkMeagainst: AppcuesUserlaneagainst: Appcues, Pendo, Userpilot, WalkMeno first choiceagainst: Pendo, WalkMeagainst: Appcues, Pendo, WalkMe, Whatfix
Two alternatives
Pendo, WhatfixOne alternative
WalkMeThree alternatives
Apty, Pendo, WhatfixTwo alternatives
Apty, WhatfixOne alternative
WhatfixGLM 4.7 FlashXWhatfixWalkMeChangedWhatfixagainst: AppcuesAptyagainst: Pendo, WalkMe, Whatfixno first choiceagainst: Pendo, WalkMe
Four alternatives
Pendo, UserGuiding, Userlane, WalkMeOne alternative
PendoThree alternatives
Pendo, Userlane, WalkMeMiniMax M2.5Userlane, WalkMePendoChangedWalkMeWhatfixno first choiceagainst: Appcues, Pendo, WalkMe
Two alternatives
Userpilot, WhatfixThree alternatives
Pendo, Userlane, WhatfixOne alternative
WalkMeGPT-6 LunaPendoWhatfixChangedWalkMe, WhatfixUserlaneno first choiceagainst: Appcues, Pendo, WalkMe, Whatfix
Two alternatives
WalkMe, WhatfixOne alternative
WalkMeThree alternatives
Nexthink Adopt, Oracle Guided Learning, PendoTwo alternatives
WalkMe, WhatfixMuse Glimmer 30BWalkMe, WhatfixWhatfixChangedPendo, WalkMe, WhatfixAptyagainst: Pendo, WalkMe, WhatfixWhatfixagainst: AppLearn / Nexthink Adopt, Appcues, Chameleon, Pendo, Userpilot, WalkMe, Whatfix
One alternative
PendoThree alternatives
Appcues, Pendo, WalkMeTwo alternatives
Oracle Guided Learning, UserlaneTwo alternatives
Appcues, UserpilotBold 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.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:45 | yes | 16 | 10 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:37 | yes | 2 | 4 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:24 | yes | 13 | 22 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 10:38 | yes | 15 | 2 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:32 | yes | 23 | 15 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:21 | yes | 12 | 7 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:27 | yes | 24 | 31 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:21 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:20 | yes | 10 | 47 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:02 | yes | 25 | 28 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:53 | yes | 22 | 26 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:15 | yes | 9 | 19 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:37 | yes | 3 | 14 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:25 | yes | 14 | 18 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 12:23 | yes | 18 | 9 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:57 | yes | 5 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:54 | yes | 9 | 17 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 12:21 | yes | 20 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:49 | yes | 25 | 7 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:33 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:51 | yes | 24 | 37 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:20 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:21 | yes | 10 | 39 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:47 | yes | 25 | 23 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:18 | yes | 24 | 24 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:29 | yes | 15 | 37 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:52 | yes | 2 | 11 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:13 | yes | 15 | 20 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 12:28 | yes | 9 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:52 | yes | 7 | 11 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:32 | yes | 20 | 28 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 10:51 | yes | 18 | 4 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 13:11 | yes | 20 | 8 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:39 | yes | 12 | 10 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:36 | yes | 22 | 12 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:00 | yes | 5 | 1 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:51 | yes | 10 | 20 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:21 | yes | 20 | 26 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:42 | yes | 24 | 177 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:18 | yes | 13 | 23 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:35 | yes | 6 | 20 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:36 | yes | 15 | 33 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 13:27 | yes | 15 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:33 | yes | 4 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:02 | yes | 19 | 24 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 08:50 | yes | 16 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:50 | yes | 18 | 7 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:59 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:41 | yes | 23 | 39 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:44 | yes | 5 | 1 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 14:10 | yes | 23 | 143 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:08 | yes | 17 | 26 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:02 | yes | 22 | 44 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:24 | yes | 6 | 21 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:05 | yes | 2 | 14 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:14 | yes | 18 | 29 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:14 | yes | 9 | 10 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:58 | no | 0 | 8 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:19 | yes | 5 | 27 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 11:19 | yes | 19 | 7 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:10 | yes | 14 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:46 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:17 | yes | 23 | 51 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:13 | yes | 5 | 4 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:06 | yes | 9 | 38 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:42 | yes | 22 | 32 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:56 | yes | 21 | 34 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:49 | yes | 5 | 35 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:14 | yes | 3 | 21 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 14:12 | yes | 15 | 21 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:48 | yes | 18 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:51 | yes | 2 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:45 | yes | 17 | 30 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 07:53 | yes | 20 | 3 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:49 | yes | 21 | 11 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:24 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:20 | yes | 23 | 51 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:21 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:36 | no | 0 | 34 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:07 | yes | 24 | 34 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 13:26 | yes | 21 | 34 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:26 | yes | 24 | 50 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:54 | yes | 5 | 19 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:46 | yes | 24 | 35 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
None. Every name in this category resolved on its own.
Unresolved, counted raw
AppLearn / Nexthink Adopt
Steeple
Discontinued, still offered
No shut-down product was recommended here.