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

Digital sales rooms for enterprise buyers

Asked as “digital sales room platform”, and as “buyer engagement and deal room tool”, on behalf of an enterprise B2B company. 55 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
20%
Contested · Seismic 16%
20Trumpet16Seismic13MindTickle51others

20% of first choices, contested.

Since September 2026↗new leaderNew leader since September 2026: Trumpet (21%) replaces Seismic (16% then, 12% now), 8 points clear, inside the 11-point floor.Trumpet leads at 21%, replacing Seismic, which led at 16% and stands at 12% now: 8 points clear, inside the floor, so the swap reads as unsettled.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.

The standing

Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Trumpet20%38%52criticized challenger▲+7Since September 2026: 14% → 21%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.14% → 21%
02Seismic16%14%63accepted challenger▼−4Since September 2026: 16% → 12%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.16% → 12%
03MindTickle13%3%39accepted challenger▼−1Since September 2026: 14% → 12%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.14% → 12%
04Highspot11%11%55accepted challenger▼−1Since September 2026: 14% → 12%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.14% → 12%
05Dock11%30%30criticized challenger▼−3Since September 2026: 12% → 8%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.12% → 8%
06Aligned5%18%38accepted challenger▼−8Since September 2026: 14% → 6%, −8 points. Inside the 11-point floor: within noise. Read over the models both editions asked.14% → 6%
07DealHub DealRoom5%12%33accepted challenger▼−1Since September 2026: 7% → 6%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.7% → 6%
08GetAccept4%22%36accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 4%
09Allego2%0%20accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
10Showpad2%10%21accepted challenger▼−3Since September 2026: 5% → 2%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.5% → 2%
Show the one product at 0%, ordered by negative rate
11Recapped0%92%13criticized 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 ten head-to-head pages: the top five 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% negative40%
Key
01Trumpet20%
02Seismic16%
03MindTickle13%
04Highspot11%
05Dock11%
06Aligned5%
07DealHub DealRoom5%
08GetAccept4%
09Allego2%
10Showpad2%
11Recapped0%

What they warned about

One 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 4.1 Fast, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, 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.
Trumpet
38%
20 of 52 labels negative · 11 of 14 models · 6 hard negative
“Platforms to **Avoid or Be Highly Cautious About**: 1. **Trumpet and Recapped**... Explicitly flagged as "not suitable for enterprise scale"” Grok 4.1 Fast, negative prompt
Recapped
92%
12 of 13 labels negative · 8 of 14 models · 8 hard negative
“Trumpet and Recapped are point solutions that are effective for agile teams but not suitable for enterprise scale.” Llama 4 Maverick, negative prompt
Dock
30%
9 of 30 labels negative · 8 of 14 models · 2 hard negative
“Tools like **Dock** and others positioned mainly as content/file-sharing portals lack the depth needed for complex, multi-stakeholder enterprise deals” DeepSeek V4 Flash, negative prompt
GetAccept
22%
8 of 36 labels negative · 8 of 14 models · 2 hard negative
“Poor user satisfaction: Trustpilot rating of 1.7/5 ("Bad") with reports of "platform filled with bugs and usability problems"” Kimi K2, 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. 1173 links across 193 sites, every framing counted. Ranked by the number of answers carrying the site or page. 24 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 · MindTickle62 answers · 73 citations · 12 models
43 answers · 60 citations · 13 models
vendor site · Dock39 answers · 60 citations · 13 models
vendor site · Spekit35 answers · 38 citations · 12 models
32 answers · 49 citations · 11 models
vendor site · GetAccept29 answers · 37 citations · 13 models
vendor site · Guideflow29 answers · 33 citations · 11 models
vendor site · Showpad27 answers · 37 citations · 12 models
27 answers · 33 citations · 12 models
vendor site · Gartner27 answers · 30 citations · 13 models
26 answers · 36 citations · 9 models
vendor site · Storylane25 answers · 27 citations · 10 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 sales room platform”, “digital sales room 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
Trumpet sendtrumpet.com20%178165,00052,3092,058$328
Seismic seismic.com16%32740,5005,27035,447363
MindTickle mindtickle.com13%3202,900604,413196
Highspot highspot.com11%42714,80025547,37954
Dock dock.us11%30790,50081,22239,01607
Aligned alignedup.com5%143165,00088,10159,675$455261
DealHub DealRoom dealhub.io5%81200319,299$37262
GetAccept getaccept.com4%189590915,454$4,087145
Allego allego.com2%1465,4005812,354$88329
Showpad showpad.com
Showpad 2%, Showpad Shared Spaces 0%
2%1874,4007611,38745

Google's top ten for the two searches hold 15 sites; 6 of them are among the sites the models cited here (alignedup.com, dock.us, gartner.com, getaccept.com, mindtickle.com, spekit.com). The first result for “best digital sales room platform” is usergems.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 digital sales room platform for an enterprise B2B company?”Paraphrase“Which buyer engagement and deal room tool would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade digital sales room platforms and how do they differ?”Budget-constrained“What is the best digital sales room 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 sales room platform. What should we look at?”Negative“Which digital sales room platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5Trumpet
Four alternativesAligned, GetAccept, MindTickle, Seismic
MindTickleChanged
Five alternativesAligned, Datasite, Dock, Highspot, Seismic
Highspot, Seismic
Three alternativesDealHub DealRoom, Dock, Trumpet
Aligned
Two alternativesAccord, Seismic
no first choiceagainst: DealHub DealRoom, Flowla, GetAccept, Highspot, Seismic
GPT-5.4 miniTrumpet
Four alternativesAligned, DealHub DealRoom, Highspot, Seismic
DealHub DealRoom, TrumpetChanged
One alternativeAligned
Trumpet
Nine alternativesAccord, Aligned, Allego, DealHub DealRoom, GetAccept, Highspot, Mediafly, OneMob, Seismic
Dock, Mutinyagainst: Seismicno first choiceagainst: GetAccept
Gemini 3.5 FlashAligned, MindTickle, Seismic
Three alternativesDealHub DealRoom, GetAccept, Trumpet
Highspot, SeismicChanged
Three alternativesGetAccept, MindTickle, Showpad
against: Dock, Flowla, Trumpet
Highspot, Seismic
Five alternativesAligned, GetAccept, MindTickle, Showpad, Trumpet
Zoomforth
Two alternativesDock, GetAccept
against: Seismic
no first choice
Five alternativesAligned, DealHub DealRoom, Dock, Highspot, Seismic
against: Aligned, Dock, Flowla, Highspot, Journey.io, Seismic, Showpad, Trumpet
Perplexity SonarTrumpet
Four alternativesAligned, MindTickle, Seismic, Showpad
OutreachChanged
Four alternatives6sense, Gong, Qualified, Salesloft
no first choiceArrows
One alternativeDealHub DealRoom
no first choiceagainst: Aligned, Consensus, Dock, GetAccept, Proposify, Trumpet
Grok 4.1 FastTrumpet
Four alternativesAligned, DealHub DealRoom, GetAccept, MindTickle
GetAcceptChanged
Four alternativesDatasite, DealHub DealRoom, DealRoom, Seismic
Highspot
Seven alternativesAligned, Allego, DealHub DealRoom, MindTickle, Seismic, Showpad, Trumpet
Highspot, Seismic
Three alternativesAllego, MindTickle, Showpad
against: Aligned, DealHub DealRoom, Dock, GetAccept, Trumpet
no first choiceagainst: Accord, Aligned, DealHub DealRoom, Omedym, Recapped, SalesHood, Spekit, Trumpet
Mistral SmallMindTickle, Trumpet
Two alternativesAligned, Allego
DatasiteChanged
Two alternativesBox, Intralinks
Highspot, MindTickle, Seismic
Two alternativesGetAccept, Showpad
against: Recapped, Trumpet
Aligned, Allegono first choiceagainst: DocSend, Recapped, Trumpet
DeepSeek V4 FlashTrumpet
Five alternativesAligned, Dock, Highspot, MindTickle, Seismic
HighspotChanged
Five alternativesAccord, DealHub DealRoom, Dock, MindTickle, Seismic
Seismic
Five alternativesConsensus, Dock, Highspot, MindTickle, Showpad
Dockagainst: Aligned, GetAccept, Highspot, Seismic, Trumpetno first choice
Five alternativesAligned, Flowla, Highspot, Seismic, Trumpet
against: Aligned, Dock, Recapped, Trumpet
Llama 4 MaverickMindTickle
Two alternativesGetAccept, Trumpet
Dock, Showpad, TrumpetChangedno first choiceDealHub DealRoom
Three alternativesAligned, Allego, Trumpet
no first choiceagainst: DocSend, MindTickle, Recapped, Trumpet
Qwen 3.7 FlashDealHub DealRoom
Three alternativesAligned, Core.com, Trumpet
SeismicChanged
Two alternativesDealHub DealRoom, Omedym
Trumpet
Five alternativesAccord, DealHub DealRoom, GetAccept, Highspot, Showpad
SharePoint
One alternativeDealRoom
against: Dock, GetAccept
no first choiceagainst: Datasite, DocSend, Highspot, Intralinks, PandaDoc, Proposify, Seismic
Kimi K2Highspot, Seismic
Three alternativesAllego, MindTickle, Trumpet
SeismicChanged
Three alternativesAllego, Highspot, Showpad
Highspot, Seismic, Showpad
Four alternativesAligned, Allego, GetAccept, Trumpet
GetAccept
One alternativeDock
against: Bigtincan, Highspot, Seismic, Showpad
no first choice
Five alternativesAligned, Flowla, Highspot, MindTickle, Seismic
against: Recapped, Trumpet
against: Arrows, Distribute, Dock, Flowla, GetAccept, Recapped, Trumpet
GLM 4.7 FlashXHighspot, MindTickle
Three alternativesDealHub DealRoom, GetAccept, Showpad
DockChanged
Four alternativesGetAccept, Highspot, Intralinks, Seismic
no first choiceagainst: TrumpetHighspot
Two alternativesAligned, GetAccept
against: DealHub DealRoom, Seismic, Trumpet
Trumpetagainst: HeyBase, Recapped, Trumpet
MiniMax M2.5MindTickle, Trumpet
Two alternativesHighspot, Seismic
no first choiceChangedMindTickle
Two alternativesHighspot, Seismic
against: Recapped, Trumpet
no first choice
Three alternativesGetAccept, Highspot, Seismic
against: Dock
no first choiceagainst: GetAccept, Recapped, Trumpet
GPT-6 LunaSeismic
Two alternativesDock, Trumpet
SeismicHeld
One alternativeDock
Highspot, Seismic, Showpad Shared Spaces
Four alternativesDealHub DealRoom, Dock, GetAccept, Trumpet
Dock
One alternativeHighspot
no first choiceagainst: Accordagainst: Dock, Highspot, Seismic, Trumpet
Muse Glimmer 30BMindTickle, Trumpet
Four alternativesAligned, Allego, Highspot, Seismic
SeismicChanged
Three alternativesHighspot, Spekit, Trumpet
Highspot, Seismic
Five alternativesAligned, Allego, Dock, GetAccept, MindTickle
against: DocSend, Recapped, Trumpet
Dock
Three alternativesHighspot, MindTickle, Seismic
no first choiceagainst: Aligned, Recapped, Trumpet
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 13:58yes98 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 09:33yes45 s
Direct recommendationGemini 3.5 Flashgemini-3.5-flash2026-10-01 09:22yes2429 s
Direct recommendationPerplexity Sonarsonar2026-10-01 10:28yes163 s
Direct recommendationGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 11:19yes237 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-10-01 08:00yes169 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 12:22yes2129 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 11:49yes52 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 12:49yes519 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-10-01 14:03yes1220 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 12:47yes2256 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 13:37yes818 s
Direct recommendationGPT-6 Lunagpt-6-luna2026-10-01 11:09yes419 s
Direct recommendationMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 10:55yes1116 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 09:37yes1710 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 10:03yes25 s
ParaphraseGemini 3.5 Flashgemini-3.5-flash2026-10-01 10:53yes1326 s
ParaphrasePerplexity Sonarsonar2026-10-01 10:32yes232 s
ParaphraseGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 08:02yes249 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-10-01 11:53yes104 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 08:28yes2031 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 13:49yes52 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 12:52yes1929 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-10-01 07:39yes2522 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 09:19yes1930 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 11:16yes1032 s
ParaphraseGPT-6 Lunagpt-6-luna2026-10-01 12:13yes314 s
ParaphraseMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 08:45yes1840 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 09:53yes99 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 11:29yes613 s
ComparativeGemini 3.5 Flashgemini-3.5-flash2026-10-01 08:54yes2430 s
ComparativePerplexity Sonarsonar2026-10-01 08:06yes179 s
ComparativeGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 09:10yes218 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-10-01 08:59yes1227 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 10:39yes2246 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 12:20yes51 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 13:59yes1350 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-10-01 13:53yes2030 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 08:49yes2145 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 08:54yes1421 s
ComparativeGPT-6 Lunagpt-6-luna2026-10-01 07:27yes751 s
ComparativeMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 10:24yes1439 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 10:50yes148 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 13:50yes25 s
Budget constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-01 08:30yes3043 s
Budget constrainedPerplexity Sonarsonar2026-10-01 10:14yes153 s
Budget constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 10:23yes208 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-10-01 10:51yes94 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 13:52yes2435 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 12:00yes51 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 12:25yes2251 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-01 09:42yes2428 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 08:02yes2456 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 14:02yes1846 s
Budget constrainedGPT-6 Lunagpt-6-luna2026-10-01 08:26yes239 s
Budget constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 09:43yes1926 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 08:50yes1812 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 12:39no011 s
Scale constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-01 13:37yes2333 s
Scale constrainedPerplexity Sonarsonar2026-10-01 11:04yes155 s
Scale constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 12:34yes167 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-10-01 11:26no08 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 08:52yes2054 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 13:04yes53 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 12:26no031 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-01 09:52yes1326 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 10:25yes1431 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 12:06yes721 s
Scale constrainedGPT-6 Lunagpt-6-luna2026-10-01 11:48yes428 s
Scale constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 09:55yes1523 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 10:57yes139 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 08:36yes24 s
Negative framingGemini 3.5 Flashgemini-3.5-flash2026-10-01 14:05yes1823 s
Negative framingPerplexity Sonarsonar2026-10-01 12:54yes184 s
Negative framingGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 09:07yes1910 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-10-01 08:22yes54 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 07:59yes2027 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 11:33yes52 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 11:19yes1850 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-10-01 10:38yes2128 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 08:30yes2139 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 07:37yes2252 s
Negative framingGPT-6 Lunagpt-6-luna2026-10-01 11:15yes319 s
Negative framingMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 10:56yes1723 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
DealHub read as DealHub DealRoom
DealHub.io read as DealHub DealRoom
Unresolved, counted raw
Core.com
Journey.io
Salesforce
Discontinued, still offered
No shut-down product was recommended here.
← Conversation intelField sales →