CPQ for small business buyers
Asked as “CPQ software”, and as “configure, price, quote tool”, on behalf of a small B2B company. 58 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
45%
Clear leader
45PandaDoc14HubSpot Commerce Hub14QuoteWerks28others
45% of first choices, clear leader.
Since September 2026▼−7Since September 2026: 54% → 47%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.PandaDoc held the lead, −7 points on 54%, 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
PandaDoc45%Clear leader▼−7Since September 2026: 54% → 47%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This pageMid-market
DealHub57%Consensus▼−4Since September 2026: 62% → 58%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Enterprise
Salesforce Revenue Cloud49%Clear leader▼−12Since September 2026: 61% → 49%, −12 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →
PandaDoc45%Clear leader▼−7Since September 2026: 54% → 47%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This pageMid-marketDealHub57%Consensus▼−4Since September 2026: 62% → 58%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →EnterpriseSalesforce Revenue Cloud49%Clear leader▼−12Since September 2026: 61% → 49%, −12 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01PandaDoc45%9%67endorsed leader▼−7Since September 2026: 54% → 47%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.54% → 47%
PandaDoc45%9%67endorsed leader▼−7Since September 2026: 54% → 47%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.54% → 47%02
QuoteWerks14%0%48accepted challenger▲+1Since September 2026: 13% → 14%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.13% → 14%
QuoteWerks14%0%48accepted challenger▲+1Since September 2026: 13% → 14%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.13% → 14%03
HubSpot Commerce Hub14%2%45accepted challenger▲+7Since September 2026: 10% → 16%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.10% → 16%
HubSpot Commerce Hub14%2%45accepted challenger▲+7Since September 2026: 10% → 16%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.10% → 16%04DealHub12%8%38accepted challenger▲+3Since September 2026: 10% → 12%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.10% → 12%
DealHub12%8%38accepted challenger▲+3Since September 2026: 10% → 12%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.10% → 12%05
Proposify3%11%27accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 4%
Proposify3%11%27accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 4%06
Conga CPQ3%57%14criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
Conga CPQ3%57%14criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%07
Salesbricks2%0%10accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
Salesbricks2%0%10accepted 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 three products at 0%, ordered by negative rate
10Salesforce Revenue Cloud0%90%50criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Salesforce Revenue Cloud0%90%50criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%09
Oracle CPQ0%86%21criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Oracle CPQ0%86%21criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%08SAP CPQ0%82%11criticized 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
DealHub vs HubSpot Commerce HubDealHub vs ProposifyDealHub vs Salesforce Revenue CloudPandaDoc vs QuoteWerksPandaDoc vs Conga CPQPandaDoc vs HubSpot Commerce HubPandaDoc vs ProposifyPandaDoc vs Salesforce Revenue CloudQuoteWerks vs Conga CPQQuoteWerks vs HubSpot Commerce HubQuoteWerks vs ProposifyQuoteWerks vs Salesforce Revenue CloudConga CPQ vs HubSpot Commerce HubConga CPQ vs ProposifyConga CPQ vs Salesforce Revenue CloudHubSpot Commerce Hub vs ProposifyHubSpot Commerce Hub vs Salesforce Revenue CloudProposify vs Salesforce Revenue Cloud
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 →
01020304050607S08
0910Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative60%
Key
01PandaDoc45%
PandaDoc45%02QuoteWerks14%
QuoteWerks14%03HubSpot Commerce Hub14%
HubSpot Commerce Hub14%04DealHub12%
DealHub12%05Proposify3%
Proposify3%06Conga CPQ3%
Conga CPQ3%07Salesbricks2%
Salesbricks2%08SAP CPQ0%
09Oracle CPQ0%
Oracle CPQ0%10Salesforce Revenue Cloud0%
Salesforce Revenue Cloud0%What they warned about
Six of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Perplexity Sonar, Mistral Small, Llama 4 Maverick, Qwen 3.7 Flash, 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.
Salesforce Revenue Cloud90%
45 of 50 labels negative · 12 of 14 models · 24 hard negative
“Beware of Salesforce CPQ (Revenue Cloud) unless you are prepared to pay high consulting fees for implementation and hire a dedicated administrator” Gemini 3.5 Flash, scale prompt
Oracle CPQ86%
18 of 21 labels negative · 11 of 14 models · 11 hard negative
“Avoid tools designed specifically for large enterprises ... (e.g., Oracle CPQ, Salesforce Revenue Cloud in its most complex form).” Qwen 3.7 Flash, negative prompt
SAP CPQ
82%
9 of 11 labels negative · 7 of 14 models · 7 hard negative
“Why to Avoid: These systems are built for massive multinationals... SAP CPQ standard editions generally require a 50-user minimum” Gemini 3.5 Flash, negative prompt
Conga CPQ57%
8 of 14 labels negative · 5 of 14 models · 6 hard negative
“Can be implementation- and administration-intensive... Avoid: Overly complex enterprise-grade solutions that require dev-heavy setup.” Muse Glimmer 30B, negative prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
78 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 1035 links across 170 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 · PandaDoc57 answers · 87 citations · 14 models
vendor site · Albato43 answers · 43 citations · 12 models
vendor site · Guideflow42 answers · 43 citations · 12 models
vendor site · Qobra36 answers · 36 citations · 11 models
33 answers · 55 citations · 12 models
vendor site · Salesbricks32 answers · 44 citations · 10 models
32 answers · 32 citations · 10 models
vendor site · Monday.com31 answers · 38 citations · 10 models
vendor site · Sybill24 answers · 24 citations · 10 models
vendor site · BetterCommerce23 answers · 23 citations · 11 models
17 answers · 18 citations · 8 models
16 answers · 18 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.
43 answers · 12 models
42 answers · 12 models
37 answers · 11 models
36 answers · 11 models
32 answers · 10 models
29 answers · 10 models
26 answers · 10 models
24 answers · 10 models
23 answers · 10 models
21 answers · 9 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 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 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 |
|---|---|---|---|---|---|---|---|---|
| PandaDoc pandadoc.com | 45% | 527 | 60,500 | 510 | 425,196 | $42,516 | 119 | |
| QuoteWerks quotewerks.com QuoteWerks 14%, QuoteWerks Web 3% | 17% | 84 | 1,300 | 22 | 3,244 | 27 | 5 | |
| HubSpot parent site HubSpot Commerce Hub 14%, HubSpot Sales Hub 0%, HubSpot CRM 0% | 14% | 693 | 368,000 | 9,776 | ||||
| DealHub dealhub.io | 12% | 175 | 1,900 | 83 | 319,299 | $372 | 62 | 1 |
| Proposify proposify.com | 3% | 274 | 3,600 | 28 | 38,103 | 27 | ||
| Conga CPQ conga.com | 3% | 108 | 320 | 19 | 46,363 | $224 | 120 | |
| Salesbricks salesbricks.com | 2% | 10 | 7 | |||||
| Bitrix24 bitrix24.com | 2% | 37 | 5,400 | 90 | 69,160 | 104 | ||
| Zoho parent site Zoho CRM 2%, Zoho CPQ 0% | 2% | 332 | 49,500 | 660 | ||||
| Quotient | 0% |
Google's top ten for the two searches hold 15 sites; 4 of them are among the sites the models cited here (g2.com, gokickflip.com, monday.com, salesbricks.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
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 CPQ software for a small B2B company?”Paraphrase“Which configure, price, quote tool would you recommend to a small business that sells to other businesses?”Comparative“What are the top CPQ tools for a small team and how do they differ?”Budget-constrained“What is the best CPQ software for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a CPQ software. What should we look at?”Negative“Which CPQ tools should a small business avoid or be cautious about?”
Claude Haiku 4.5HubSpot Commerce HubDealHub, HubSpot Commerce HubChangedQuoteWerksagainst: Salesforce Revenue CloudPandaDoc, QuoteWerksagainst: Proposifyno first choiceagainst: Oracle CPQ, SAP CPQ, Salesforce Revenue Cloud
Three alternatives
DealHub, PandaDoc, QuoteWerksOne alternative
PandaDocThree alternatives
Dock, HubSpot Sales Hub, PandaDocTwo alternatives
Bitrix24, HubSpot Commerce HubGPT-5.4 miniDealHubHubSpot Commerce HubChangedagainst: Salesforce Revenue CloudHubSpot Commerce Hubagainst: Salesforce Revenue CloudHubSpot Commerce Hubagainst: Salesforce Revenue Cloudno first choiceagainst: Salesforce-centric CPQ / Revenue Cloud
Three alternatives
PandaDoc, Qwilr, Salesforce Revenue CloudTwo alternatives
PandaDoc, QuoteWerksThree alternatives
DealHub, PandaDoc, QuoteWerksOne alternative
Zoho CRMGemini 3.5 FlashPandaDocagainst: Conga CPQ, Salesforce Revenue CloudPandaDocHeldagainst: Oracle CPQ, Salesforce Revenue CloudHubSpot Commerce Hub, PandaDocagainst: Conga CPQ, Salesforce Revenue CloudPandaDocagainst: Oracle CPQ, Salesforce Revenue CloudDealHubagainst: SAP CPQ, Salesforce Revenue Cloudagainst: Conga CPQ, NetSuite CPQ, Oracle CPQ, PandaDoc, Proposify, SAP CPQ, Salesforce Revenue Cloud
Five alternatives
ConnectWise CPQ, DealHub, HubSpot Commerce Hub, Kickflip, QuoteWerksFour alternatives
ConnectWise CPQ, DealHub, QuoteWerks, RevOps.ioThree alternatives
DealHub, Kickflip, QuoteWerksThree alternatives
HubSpot Commerce Hub, Kickflip, QuoteWerksSix alternatives
HubSpot Commerce Hub, Nue, PandaDoc, Proposify, QuoteWerks, ScopeStackPerplexity SonarPandaDocHubSpot Commerce HubChangedagainst: Conga CPQPandaDocPandaDocno first choiceagainst: Conga CPQ, Oracle CPQ, SAP CPQ, Salesforce Revenue Cloud
Two alternatives
HubSpot Sales Hub Quotes, QuoteWerksFour alternatives
DealHub, Quoter, Quotient, SalesmateFour alternatives
DealHub, HubSpot Commerce Hub, Proposify, QuoteWerksOne alternative
QuoteWerksGrok 4.1 FastPandaDocagainst: DealHub, SAP CPQ, Salesforce Revenue CloudPandaDocHeldagainst: Salesforce Revenue CloudKickflip, PandaDocagainst: Salesforce Revenue CloudBitrix24DealHub, PandaDocagainst: Oracle CPQ, Salesforce Revenue Cloudagainst: Conga CPQ, Oracle CPQ, SAP CPQ, Salesforce Revenue Cloud
Two alternatives
QuoteWerks, QuotientThree alternatives
HubSpot Commerce Hub, Proposify, QuoteWerksThree alternatives
Dock, Proposify, QuoteWerksTwo alternatives
PandaDoc, QuoteWerksTwo alternatives
HubSpot Commerce Hub, QuoteWerksMistral SmallPandaDocHubSpot Commerce HubChangedPandaDoc, Proposifyagainst: Oracle CPQPandaDoc, QuoteWerksno first choicenothing named
Two alternatives
DealHub, SybillTwo alternatives
PandaDoc, Zoho CPQOne alternative
HubSpot Commerce HubDeepSeek V4 FlashPandaDocPandaDocHeldagainst: Salesforce Revenue CloudPandaDocagainst: Salesforce Revenue CloudPandaDocno first choiceagainst: Oracle CPQ, Salesforce Revenue Cloudagainst: Oracle CPQ, SAP CPQ, Salesforce Revenue Cloud
Three alternatives
HubSpot Commerce Hub, Salesbricks, monday CRMTwo alternatives
DealHub, HubSpot Commerce HubFour alternatives
DealHub, Proposify, QuoteWerks, QuotientTwo alternatives
HubSpot Commerce Hub, QuoteWerksLlama 4 Maverickno first choiceConga CPQ, DealHubChangedno first choicePandaDoc, Proposifyno first choicenothing named
Two alternatives
Guideflow, QuoteWerksQwen 3.7 FlashHubSpot Commerce Hub, PandaDocagainst: Oracle CPQ, Salesforce Revenue CloudPandaDocChangedagainst: Salesforce Revenue CloudPandaDocagainst: Oracle CPQ, Salesforce Revenue CloudPandaDocagainst: Oracle Sales, Salesforce Revenue Cloudno first choiceagainst: Salesforce Revenue Cloudagainst: HubSpot Commerce Hub, Oracle CPQ, Pipedrive, Salesforce Revenue Cloud, Zoho CRM
Three alternatives
Proposify, QuoteWerks, SalesbricksThree alternatives
HubSpot Commerce Hub, Proposify, SalesbricksTwo alternatives
HubSpot Commerce Hub, Zoho CPQFive alternatives
HubSpot Commerce Hub, Proposify, QuoteWerks, Zoho CRM, Zoho OneFour alternatives
DealHub, PandaDoc, QuoteWerks, SkyMindKimi K2PandaDocPandaDocHeldagainst: DealHub, Salesforce Revenue CloudPandaDoc, QuoteWerksagainst: Salesforce Revenue CloudQuoteWerksPandaDoc, QuoteWerksagainst: Salesforce Revenue Cloudagainst: Oracle CPQ, SAP CPQ, Salesforce Revenue Cloud
Three alternatives
DealHub, HubSpot Commerce Hub, Salesforce Revenue CloudOne alternative
HubSpot Commerce HubFour alternatives
DealHub, HubSpot Commerce Hub, Proposify, Zoho CPQThree alternatives
HubSpot Sales Hub, Odoo, PandaDocTwo alternatives
DealHub, EverstageGLM 4.7 FlashXQuoteWerksQuoteWerksHeldagainst: PandaDocHubSpot Revenue Hub CPQQuoteWerksDealHubagainst: Oracle CPQ, Salesforce Revenue Cloudagainst: Conga CPQ, Oracle CPQ, PandaDoc, Proposify, Salesforce Revenue Cloud
Three alternatives
HubSpot Commerce Hub, MRPeasy, PandaDocOne alternative
HubSpot Commerce HubFour alternatives
DealHub, PandaDoc, Proposify, QuoteWerksThree alternatives
HubSpot Commerce Hub, Monday.com, ProposifyTwo alternatives
PandaDoc, QuoteWerksMiniMax M2.5PandaDoc, SalesbricksHubSpot Commerce HubChangedagainst: Salesforce Revenue CloudPandaDocagainst: Salesforce Revenue CloudPandaDoc, Proposifyno first choiceagainst: Salesforce Revenue Cloudagainst: Salesforce Revenue Cloud
One alternative
monday CRMThree alternatives
PandaDoc, Proposify, QuoteWerksThree alternatives
DealHub, HubSpot Commerce Hub, ProposifyTwo alternatives
HubSpot CRM, SalesbricksThree alternatives
DealHub, PandaDoc, QuoteWerksGPT-6 LunaQuoteWerks Webagainst: PandaDocQuoteWerks WebHeldagainst: PandaDocQuoteWerks Webagainst: PandaDoc, Salesforce Revenue CloudZoho CRMno first choiceagainst: Oracle CPQ, SAP CPQ, Salesforce Revenue Cloud
One alternative
HubSpot Commerce HubOne alternative
HubSpot Commerce HubThree alternatives
DealHub, HubSpot Commerce Hub, QwilrOne alternative
QuoteWerksMuse Glimmer 30BPandaDocagainst: DealHub, Salesforce Revenue CloudPandaDoc, QuoteWerksChangedPandaDocagainst: Salesforce Revenue CloudPandaDocConga CPQ, DealHubagainst: Salesforce Revenue Cloudagainst: Conga CPQ, Oracle CPQ, Salesforce Revenue Cloud
Four alternatives
HubSpot Commerce Hub, Proposify, QuoteWerks, Zoho CPQThree alternatives
DealHub, HubSpot Revenue Hub CPQ / Commerce Hub, ProposifyTwo alternatives
HubSpot Commerce Hub, QuoteWerksOne alternative
QuoteWerksBold 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 10:26 | yes | 9 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:16 | yes | 2 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:29 | yes | 18 | 20 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 10:15 | yes | 16 | 2 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:39 | yes | 20 | 8 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:36 | yes | 9 | 25 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:23 | yes | 21 | 42 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:39 | yes | 5 | 1 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:41 | yes | 10 | 38 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:45 | yes | 13 | 19 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:50 | yes | 24 | 29 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:03 | yes | 5 | 15 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:36 | yes | 3 | 22 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:23 | yes | 11 | 18 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 14:03 | yes | 9 | 7 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:43 | yes | 4 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:14 | yes | 12 | 21 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 12:17 | yes | 20 | 6 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 14:02 | yes | 19 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 14:14 | yes | 18 | 8 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:46 | yes | 23 | 26 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:11 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:58 | yes | 7 | 32 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:51 | yes | 18 | 26 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:29 | yes | 22 | 20 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:17 | no | 0 | 48 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 13:56 | yes | 3 | 13 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:30 | yes | 23 | 28 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:32 | yes | 14 | 12 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:57 | yes | 4 | 7 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:23 | yes | 22 | 24 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 08:55 | yes | 16 | 4 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:54 | yes | 17 | 7 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:47 | yes | 15 | 10 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:39 | yes | 20 | 33 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:52 | yes | 5 | 1 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:06 | yes | 10 | 31 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:33 | yes | 10 | 16 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:28 | yes | 25 | 155 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:51 | yes | 9 | 23 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:58 | yes | 6 | 29 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:11 | yes | 13 | 32 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:29 | yes | 9 | 12 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:20 | yes | 3 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:20 | yes | 20 | 27 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 12:46 | yes | 19 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 13:07 | yes | 20 | 7 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:32 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:00 | yes | 23 | 24 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:24 | yes | 5 | 1 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:12 | no | 0 | 28 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:24 | yes | 20 | 20 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:11 | yes | 20 | 17 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:11 | yes | 9 | 18 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:40 | yes | 2 | 24 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:27 | yes | 14 | 21 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:51 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:22 | no | 0 | 9 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:46 | yes | 10 | 25 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 10:41 | yes | 20 | 4 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:34 | yes | 15 | 7 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:00 | no | 0 | 5 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:57 | yes | 23 | 41 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:49 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:54 | no | 0 | 41 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:25 | yes | 18 | 20 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:46 | yes | 22 | 41 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 14:06 | yes | 13 | 25 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:55 | yes | 3 | 15 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:18 | yes | 13 | 24 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:49 | yes | 17 | 10 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:13 | yes | 6 | 8 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:20 | yes | 10 | 25 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 08:33 | yes | 18 | 3 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:33 | yes | 20 | 6 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 13:15 | yes | 10 | 6 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:51 | yes | 21 | 37 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:23 | yes | 5 | 1 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:39 | yes | 5 | 17 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:54 | yes | 22 | 19 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:02 | yes | 22 | 83 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:34 | yes | 10 | 33 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:31 | yes | 4 | 15 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:58 | yes | 19 | 33 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
Conga read as Conga CPQ
HubSpot read as HubSpot Commerce Hub
HubSpot (Commerce Hub) read as HubSpot Commerce Hub
HubSpot Quoting read as HubSpot Commerce Hub
Oracle read as Oracle CPQ
SAP read as SAP CPQ
Salesforce CPQ read as Salesforce Revenue Cloud
Salesforce CPQ (Agentforce Revenue Management) read as Salesforce Revenue Cloud
Salesforce CPQ (Revenue Cloud) read as Salesforce Revenue Cloud
Salesforce CPQ / Revenue Cloud read as Salesforce Revenue Cloud
Salesforce CPQ/Revenue Cloud read as Salesforce Revenue Cloud
Zoho read as Zoho CRM
Zoho CRM CPQ read as Zoho CPQ
Unresolved, counted raw
Commerce Hub
EZLynx
FPX
HubSpot Revenue Hub CPQ
HubSpot Revenue Hub CPQ / Commerce Hub
HubSpot Sales Hub Quotes
HubSpot's built-in Quotes
HubSpot's built-in product library
Osmos Cloud
Pipedrive CPQ
QuoteWerks Web
RevOps.io
Salesforce-centric CPQ / Revenue Cloud
ScopeStack
SkyMind
Discontinued, still offered
No shut-down product was recommended here.