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

CPQ

Asked as “CPQ software”, and as “configure, price, quote tool”, on behalf of a mid-market B2B company. 54 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
57%
Consensus
57DealHub15PandaDoc09QuoteWerks19others

57% of first choices, consensus.

Since September 2026▼−4Since September 2026: 62% → 58%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.DealHub held the lead, −4 points on 62%, 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
01DealHub57%9%57endorsed leader▼−4Since September 2026: 62% → 58%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.62% → 58%
02PandaDoc15%7%41accepted challenger▲+2Since September 2026: 13% → 16%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.13% → 16%
03QuoteWerks9%4%23accepted challenger=heldSince September 2026: 9% → 9%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.9% → 9%
04Conga CPQ4%23%35accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
05HubSpot Commerce Hub2%4%25accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 2%
06Proposify2%8%12accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%
07Salesforce Revenue Cloud2%44%66criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
Show the five products at 0%, ordered by negative rate
11SAP CPQ0%38%26criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
12Oracle CPQ0%38%32criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
10PROS Smart CPQ0%10%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%
09Tacton0%9%11accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
08Experlogix0%8%24accepted 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-one head-to-head pages: the top seven products, each against each

One product takes 57% of first choices here, so the chart would put eleven markers in one corner and one at the far edge. The two measurements it plots are columns in the standing above: share, and the negative label rate. Three products carry a negative rate above 25% in this category.

What they warned about

Twelve of fourteen models held their first choice under the paraphrase. GPT-5.4 mini and Mistral Small 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.
Salesforce Revenue Cloud
44%
29 of 66 labels negative · 11 of 14 models · 6 hard negative
“Salesforce CPQ is now end of sale for new customers... Any CPQ that is being phased out or has a clear successor you'd be forced to migrate to soon.” GPT-5.4 mini, negative prompt
Oracle CPQ
38%
12 of 32 labels negative · 9 of 14 models · 4 hard negative
“avoid enterprise-grade CPQs like Salesforce CPQ, Oracle CPQ Cloud, or DealHub initially” Qwen 3.7 Flash, budget prompt
SAP CPQ
38%
10 of 26 labels negative · 9 of 14 models · 2 hard negative
“If you are not already deeply embedded in the SAP ecosystem (S/4HANA, ECC), **avoid**.” DeepSeek V4 Flash, negative prompt
Conga CPQ
23%
8 of 35 labels negative · 8 of 14 models
“some Conga products are described as hard to configure and difficult for teams to troubleshoot without vendor support” GPT-5.4 mini, 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. 991 links across 186 sites, every framing counted. Ranked by the number of answers carrying the site or page. None of the 252 answers across every segment cited this index's own page for the category.

vendor site · Qobra44 answers · 44 citations · 12 models
vendor site · Albato35 answers · 35 citations · 12 models
vendor site · Guideflow33 answers · 34 citations · 11 models
vendor site · Monday.com32 answers · 36 citations · 10 models
28 answers · 70 citations · 11 models
vendor site · Everstage26 answers · 28 citations · 9 models
vendor site · PandaDoc24 answers · 37 citations · 11 models
vendor site · Conga24 answers · 27 citations · 12 models
vendor site · DealHub23 answers · 27 citations · 11 models
23 answers · 24 citations · 10 models
vendor site · BetterCommerce19 answers · 19 citations · 10 models
17 answers · 24 citations · 7 models

Pages the answers cite

The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.

Search against answers

Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best cpq software”, “cpq software”. 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
DealHub dealhub.io57%1751,90083319,299$372621
PandaDoc pandadoc.com15%52760,500510425,196$42,516119
QuoteWerks quotewerks.com9%841,300223,244275
Bitrix24 bitrix24.com6%375,4009069,160104
Conga CPQ conga.com4%1083201946,363$224120
HubSpot parent site
HubSpot Commerce Hub 2%
2%72368,0009,776
Proposify proposify.com2%2743,6002838,10327
Odoo odoo.com2%2349,5003,053406,262$64495
Zoho parent site
Zoho CRM 2%, Zoho CPQ 0%
2%33249,500660
Salesforce parent site
Salesforce Revenue Cloud 2%
2%215550,00060,632

Google's top ten for the two searches hold 15 sites; 3 of them are among the sites the models cited here (dealhub.io, g2.com, monday.com). The first result for “best cpq software” 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.
ShowHide
ModelDirect“What is the best CPQ software for a mid-market B2B company?”Paraphrase“Which configure, price, quote tool would you recommend to a mid-sized B2B company?”Comparative“What are the top CPQ tools and how do they differ?”Budget-constrained“What is the best CPQ software for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a CPQ software. What should we look at?”Negative“Which CPQ tools should I avoid or be cautious about?”
Claude Haiku 4.5DealHub
Two alternativesConga CPQ, HubSpot Commerce Hub
DealHubHeld
Four alternativesHubSpot Commerce Hub, PandaDoc, Proposify, Salesforce Revenue Cloud
no first choiceBitrix24, PandaDoc
Three alternativesHubSpot Commerce Hub, Odoo, QuoteWerks
no first choiceagainst: DealHub, Epicor CPQ, Oracle CPQ, PROS Smart CPQ, PriceFx CPQ, SAP CPQ, Salesforce Revenue Cloud
GPT-5.4 miniDealHub
Three alternativesConga CPQ, SAP CPQ, Salesforce Revenue Cloud
Conga CPQ, DealHubChanged
One alternativeSalesforce Revenue Cloud
Salesforce Revenue Cloud
Four alternativesConga CPQ, DealHub, Oracle CPQ, SAP CPQ
PandaDoc
One alternativeConga Advantage CPQ
against: Salesforce Revenue Cloud
no first choiceagainst: Conga CPQ, Salesforce Revenue Cloud
Gemini 3.5 FlashDealHub
Five alternativesEpicor CPQ, Experlogix, NetSuite CPQ, Nue, PandaDoc
against: HubSpot’s built-in CPQ/Revenue Hub, Salesforce Revenue Cloud
DealHubHeld
Five alternativesEpicor CPQ, Experlogix, MonetizeNow, Nue, PandaDoc
against: Salesforce Revenue Cloud
Salesforce Revenue Cloud
Four alternativesConga CPQ, DealHub, ServiceNow CPQ, Tacton
against: HubSpot Commerce Hub, PandaDoc, Proposify
QuoteWerks
Four alternativesHubSpot Sales Hub, Kickflip, PandaDoc, Zoho CPQ
against: Oracle CPQ, Salesforce Revenue Cloud
DealHub
Three alternativesExperlogix, Logik.io, PandaDoc
against: Salesforce Revenue Cloud
against: "In-House" Custom CPQ Systems, Conga CPQ, Oracle CPQ, SAP CPQ, Salesforce Revenue Cloud
Perplexity SonarDealHub
Three alternativesBetterCommerce, Experlogix, Salesforce Revenue Cloud
DealHubHeld
Two alternativesHubSpot Commerce Hub, PandaDoc
against: Oracle CPQ
no first choiceagainst: Conga CPQBitrix24, QuoteWerks
One alternativePandaDoc
no first choicenothing named
Grok 4.1 FastDealHub
Three alternativesConga CPQ, Experlogix, PandaDoc
against: Salesforce Revenue Cloud
DealHubHeld
Two alternativesConga CPQ, QuoteWerks
against: PandaDoc, Salesforce Revenue Cloud
no first choicePandaDoc
Three alternativesBitrix24, QuoteWerks, Quotient
against: DealHub, Oracle CPQ, Salesforce Revenue Cloud
DealHub
Five alternativesConga CPQ, Oracle CPQ, PROS Smart CPQ, PandaDoc, Salesforce Revenue Cloud
against: QuoteWerks
against: Apttus, Bigmachines, Oracle CPQ, SAP CPQ, Salesforce Revenue Cloud
Mistral SmallDealHubDealHub, Salesforce Revenue CloudChanged
Two alternativesProposify, Revalize
Salesforce Revenue Cloud
Five alternativesBitrix24, DealHub, Price f, SAP CPQ, Sculptor CPQ
HubSpot Commerce Hub, PandaDoc, Proposify
Two alternativesQuoteWerks, iQuoteXpress
no first choiceagainst: Vendavo
DeepSeek V4 FlashDealHub
Three alternativesConga CPQ, Experlogix, HubSpot Commerce Hub
against: Salesforce Revenue Cloud
DealHubHeld
Five alternativesConga CPQ, Experlogix, HubSpot Commerce Hub, PandaDoc, Salesforce Revenue Cloud
no first choice
Seven alternativesConga CPQ, DealHub, Oracle CPQ, PandaDoc, QuoteWerks, SAP CPQ, Salesforce Revenue Cloud
PandaDoc, QuoteWerks
Two alternativesHubSpot Commerce Hub, Kickflip
against: Conga CPQ, DealHub, Salesforce Revenue Cloud
no first choiceagainst: Experlogix, Oracle CPQ, PandaDoc, SAP CPQ, Salesforce Revenue Cloud
Llama 4 MaverickDealHub
Two alternativesExperlogix, Zuora CPQ
DealHubHeldno first choicePandaDoc
Two alternativesConga CPQ, Zuora CPQ
no first choicenothing named
Qwen 3.7 FlashDealHub
Four alternativesConga CPQ, Experlogix, Oracle CPQ, PROS Smart CPQ
DealHubHeld
Two alternativesExperlogix, PandaDoc
against: Salesforce Revenue Cloud
Salesforce Revenue Cloud
Five alternativesOracle CPQ, PROS Smart CPQ, SAP CPQ, Tacton, Zoho CPQ
PandaDoc
Three alternativesHubSpot Commerce Hub, Proposify, QuoteWerks
against: DealHub, Oracle CPQ, Salesforce Revenue Cloud
no first choiceagainst: Conga CPQ, Experlogix, SAP CPQ, Salesforce Revenue Cloud, ServiceNow CPQ, Zuora CPQ
Kimi K2DealHub
Three alternativesConga CPQ, HubSpot Commerce Hub, PandaDoc
against: Salesforce Revenue Cloud
DealHubHeld
Four alternativesConga CPQ, Experlogix, HubSpot Commerce Hub, PandaDoc
against: Oracle CPQ, SAP CPQ, Salesforce Revenue Cloud
no first choice
Eight alternativesConga CPQ, DealHub, Experlogix, PandaDoc, ProPricer, QuoteWerks, SAP CPQ, Salesforce Revenue Cloud
Bitrix24, Odoo
Four alternativesHubSpot Commerce Hub, MRPeasy, Monday.com, PandaDoc
no first choice
Four alternativesDealHub, PandaDoc, SAP CPQ, Salesforce Revenue Cloud
against: Oracle CPQ, SAP CPQ, Salesforce Revenue Cloud
GLM 4.7 FlashXDealHub
Two alternativesCombeenation, Experlogix
against: Conga CPQ
DealHubHeld
Three alternativesConga CPQ, HubSpot Commerce Hub, Logik.io
no first choiceno first choice
Nine alternativesHubSpot CRM, HubSpot Commerce Hub, Infor CPQ, Monday.com, PandaDoc, QuoteWerks, Qwilr, Zoho CPQ, Zoho CRM
against: Dock, Salesforce Revenue Cloud
no first choiceagainst: SAP CPQ, Salesforce Revenue Cloud
MiniMax M2.5DealHub
Two alternativesExperlogix, Salesforce Revenue Cloud
DealHubHeld
Three alternativesMonday.com CPQ, PandaDoc, Proposify
against: Salesforce Revenue Cloud
Salesforce Revenue Cloud
Four alternativesConga CPQ, DealHub, Oracle CPQ, SAP CPQ
QuoteWerks
Four alternativesHubSpot Commerce Hub, Jobber, PandaDoc, Proposify
no first choice
Two alternativesHubSpot Commerce Hub, Salesforce Revenue Cloud
nothing named
GPT-6 LunaDealHub
Two alternativesExperlogix, Salesforce Revenue Cloud
DealHubHeld
Three alternativesExperlogix, HubSpot Commerce Hub, Tacton
no first choice
Six alternativesConga CPQ, DealHub, Oracle CPQ, SAP CPQ, Salesforce Revenue Cloud, Tacton
against: Salesforce Revenue Cloud
Zoho CRM
One alternativeZoho Billing
against: Conga CPQ
no first choiceagainst: Oracle CPQ, SAP CPQ, Salesforce Revenue Cloud
Muse Glimmer 30BDealHub
Two alternativesExperlogix, Salesforce Revenue Cloud
against: Salesforce Revenue Cloud
DealHubHeld
Two alternativesPandaDoc, Salesforce Revenue Cloud CPQ
no first choicePandaDoc, QuoteWerks
Three alternativesKickflip, MRPeasy, Proposify
Conga CPQ, DealHubagainst: Cincom CPQ, Conga CPQ, DealHub, Oracle CPQ, SAP CPQ, Salesforce Revenue Cloud, Tacton
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 08:22yes98 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 12:23yes25 s
Direct recommendationGemini 3.5 Flashgemini-3.5-flash2026-10-01 14:16yes2021 s
Direct recommendationPerplexity Sonarsonar2026-10-01 11:48yes153 s
Direct recommendationGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 10:19yes197 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-10-01 13:18yes52 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 08:27yes2121 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 07:40yes53 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 07:50yes520 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-10-01 13:46yes1622 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 12:24yes2028 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 10:52yes923 s
Direct recommendationGPT-6 Lunagpt-6-luna2026-10-01 12:19yes327 s
Direct recommendationMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 11:46yes922 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 11:12yes158 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 07:38yes34 s
ParaphraseGemini 3.5 Flashgemini-3.5-flash2026-10-01 08:35yes821 s
ParaphrasePerplexity Sonarsonar2026-10-01 13:10yes172 s
ParaphraseGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 08:58yes147 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-10-01 08:28yes53 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 10:07yes2234 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 10:38yes51 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 11:31yes838 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-10-01 13:14yes1322 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 09:47yes1719 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 12:52yes1215 s
ParaphraseGPT-6 Lunagpt-6-luna2026-10-01 10:56yes319 s
ParaphraseMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 10:14yes1317 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 11:41yes109 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 10:28yes68 s
ComparativeGemini 3.5 Flashgemini-3.5-flash2026-10-01 09:44yes1227 s
ComparativePerplexity Sonarsonar2026-10-01 10:07yes206 s
ComparativeGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 07:51yes218 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-10-01 11:20yes118 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 11:19yes1731 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 13:00yes52 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 08:14yes1543 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-10-01 12:12yes1325 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 13:28yes17199 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 12:21yes1526 s
ComparativeGPT-6 Lunagpt-6-luna2026-10-01 08:17yes832 s
ComparativeMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 11:46yes1237 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 08:28yes97 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 07:40yes34 s
Budget constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-01 12:45yes2525 s
Budget constrainedPerplexity Sonarsonar2026-10-01 08:32yes163 s
Budget constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 10:56yes246 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-10-01 08:50yes96 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 09:11yes2327 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 11:30yes54 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 08:08yes526 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-01 08:49yes1925 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 08:16yes1033 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 09:24yes1530 s
Budget constrainedGPT-6 Lunagpt-6-luna2026-10-01 10:10yes312 s
Budget constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 08:18yes1025 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 07:47no06 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 13:53no08 s
Scale constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-01 11:19yes1125 s
Scale constrainedPerplexity Sonarsonar2026-10-01 12:06yes205 s
Scale constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 10:25yes178 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-10-01 08:25no06 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 07:59yes1025 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 13:43yes54 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 11:24yes1449 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-01 13:23yes1020 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 07:31yes1445 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 11:11yes513 s
Scale constrainedGPT-6 Lunagpt-6-luna2026-10-01 10:54yes418 s
Scale constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 08:16yes1231 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 12:15yes97 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 12:59yes46 s
Negative framingGemini 3.5 Flashgemini-3.5-flash2026-10-01 14:02yes1322 s
Negative framingPerplexity Sonarsonar2026-10-01 07:56yes194 s
Negative framingGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 12:50yes248 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-10-01 11:11yes57 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 11:27yes2450 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 10:34yes52 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 08:48yes1954 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-10-01 12:34yes2525 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 13:28yes25306 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 11:57yes1028 s
Negative framingGPT-6 Lunagpt-6-luna2026-10-01 08:19yes310 s
Negative framingMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 08:54yes1326 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
Cincom read as Cincom CPQ
Conga read as Conga CPQ
HubSpot read as HubSpot Commerce Hub
HubSpot native read as HubSpot Commerce Hub
Oracle read as Oracle CPQ
PROS read as PROS Smart CPQ
PROS CPQ read as PROS Smart CPQ
SAP read as SAP CPQ
Salesforce (Agentforce Revenue Management) read as Salesforce Revenue Cloud
Salesforce CPQ read as Salesforce Revenue Cloud
Salesforce CPQ (Now Salesforce Revenue Cloud) read as Salesforce Revenue Cloud
Salesforce CPQ (Revenue Cloud) read as Salesforce Revenue Cloud
Salesforce CPQ (SteelBrick) read as Salesforce Revenue Cloud
Salesforce CPQ (now Revenue Cloud) read as Salesforce Revenue Cloud
Salesforce CPQ / Revenue Cloud read as Salesforce Revenue Cloud
Salesforce Revenue Management read as Salesforce Revenue Cloud
Zoho CRM CPQ read as Zoho CPQ
Unresolved, counted raw
"In-House" Custom CPQ Systems
Agentforce Revenue Management, formerly Salesforce Revenue Cloud
BetterCommerce CPQ
Combeenation
Datto Commerce (formerly Gluh)
Dealsign
HubSpot’s built-in CPQ/Revenue Hub
Logik.ai
Microsoft Dynamics 365 CPQ
Multiply CPQ
Price f(x)
PriceFx CPQ
ProPricer
ProsperStack
Salesforce Revenue Cloud CPQ
Vendr
altaFlow
Discontinued, still offered
No shut-down product was recommended here.
← CLMCRM →