CPQ for enterprise buyers
Asked as “CPQ software”, and as “configure, price, quote 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
57%
Clear leader
57Salesforce Revenue Cloud20Conga CPQ16Oracle CPQ07others
57% of first choices, clear leader.
Since October 2026▲+8Since October 2026: 49% → 57%, +8 points. Inside the 11-point floor: within noise.Salesforce Revenue Cloud held the lead, +8 points on 49%, 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=heldSince October 2026: 45% → 45%, ±0 points. Inside the 11-point floor: within noise.Standing →Mid-market
DealHub51%Clear leader▼−6Since October 2026: 57% → 51%, −6 points. Inside the 11-point floor: within noise.Standing →Enterprise
Salesforce Revenue Cloud57%Clear leader▲+8Since October 2026: 49% → 57%, +8 points. Inside the 11-point floor: within noise.This page
PandaDoc45%Clear leader=heldSince October 2026: 45% → 45%, ±0 points. Inside the 11-point floor: within noise.Standing →Mid-marketDealHub51%Clear leader▼−6Since October 2026: 57% → 51%, −6 points. Inside the 11-point floor: within noise.Standing →EnterpriseSalesforce Revenue Cloud57%Clear leader▲+8Since October 2026: 49% → 57%, +8 points. Inside the 11-point floor: within noise.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 October 2026
01Salesforce Revenue Cloud57%25%80criticized default▲+8Since October 2026: 49% → 57%, +8 points. Inside the 11-point floor: within noise.49% → 57%
Salesforce Revenue Cloud57%25%80criticized default▲+8Since October 2026: 49% → 57%, +8 points. Inside the 11-point floor: within noise.49% → 57%02
Conga CPQ20%16%62accepted challenger▲+16Since October 2026: 4% → 20%, +16 points. Past the 11-point floor: movement.4% → 20%
Conga CPQ20%16%62accepted challenger▲+16Since October 2026: 4% → 20%, +16 points. Past the 11-point floor: movement.4% → 20%03
Oracle CPQ16%24%72accepted challenger▼−18Since October 2026: 34% → 16%, −18 points. Past the 11-point floor: movement.34% → 16%
Oracle CPQ16%24%72accepted challenger▼−18Since October 2026: 34% → 16%, −18 points. Past the 11-point floor: movement.34% → 16%04SAP CPQ2%15%65accepted challenger▼−2Since October 2026: 4% → 2%, −2 points. Inside the 11-point floor: within noise.4% → 2%
05
Tacton2%10%20accepted challenger▼−2Since October 2026: 4% → 2%, −2 points. Inside the 11-point floor: within noise.4% → 2%
Tacton2%10%20accepted challenger▼−2Since October 2026: 4% → 2%, −2 points. Inside the 11-point floor: within noise.4% → 2%Show the six products at 0%, ordered by negative rate
11
ServiceNow CPQ0%27%11criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
ServiceNow CPQ0%27%11criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%09
Epicor CPQ0%20%10accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Epicor CPQ0%20%10accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%10
Infor CPQ0%20%10accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Infor CPQ0%20%10accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%07
PROS Smart CPQ0%10%20accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
PROS Smart CPQ0%10%20accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%08
NetSuite CPQ0%10%10accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
NetSuite CPQ0%10%10accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%06DealHub0%4%45accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise.2% → 0%
DealHub0%4%45accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise.2% → 0%The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
For buyers
Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not enterprise.
All twenty-one head-to-head pages: the top seven products, each against each
DealHub vs Conga CPQDealHub vs ProposifyDealHub vs QuoteWerksPandaDoc vs HubSpot Commerce HubPandaDoc vs Salesforce Revenue CloudPandaDoc vs Conga CPQPandaDoc vs ProposifyPandaDoc vs QuoteWerksHubSpot Commerce Hub vs Salesforce Revenue CloudHubSpot Commerce Hub vs Conga CPQHubSpot Commerce Hub vs ProposifyHubSpot Commerce Hub vs QuoteWerksSalesforce Revenue Cloud vs Conga CPQSalesforce Revenue Cloud vs ProposifySalesforce Revenue Cloud vs QuoteWerksConga CPQ vs ProposifyConga CPQ vs QuoteWerksProposify vs QuoteWerks
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 →
010203S04
05060708091011Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative70%
Key
01Salesforce Revenue Cloud57%
Salesforce Revenue Cloud57%02Conga CPQ20%
Conga CPQ20%03Oracle CPQ16%
Oracle CPQ16%04SAP CPQ2%
05Tacton2%
Tacton2%06DealHub0%
DealHub0%07PROS Smart CPQ0%
PROS Smart CPQ0%08NetSuite CPQ0%
NetSuite CPQ0%09Epicor CPQ0%
Epicor CPQ0%10Infor CPQ0%
Infor CPQ0%11ServiceNow CPQ0%
ServiceNow CPQ0%What they warned about
Seven 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 and GPT-6 Luna 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 Cloud25%
20 of 80 labels negative · 14 of 14 models · 7 hard negative
“Why avoid: Users report significant complexity, a steep learning curve, slow performance during data syncing, and burdensome setup processes.” Mistral Small, negative prompt
Oracle CPQ24%
17 of 72 labels negative · 12 of 14 models · 3 hard negative
“often criticized for similar issues as Salesforce CPQ—complexity, integration challenges, and resource-intensive implementations” Mistral Small, negative prompt
SAP CPQ
15%
10 of 65 labels negative · 10 of 14 models
“legacy ERP CPQ modules (SAP, Oracle CPQ Cloud at the highest tier) were considered but excluded if they are rarely picked by SaaS companies under $200M ARR” Muse Glimmer 30B, negative prompt
Conga CPQ16%
10 of 62 labels negative · 9 of 14 models
“I'd put Conga CPQ and Oracle CPQ on the "evaluate very carefully against your catalog complexity, rule volume, and integration/customization needs" list.” GPT-5.4 mini, negative prompt
What they cite
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.
Sites the answers cite
76 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 876 links across 206 sites, every framing counted. Ranked by the number of answers carrying the site or page. 19 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.
33 answers · 47 citations · 12 models
26 answers · 33 citations · 10 models
vendor site · Zapier25 answers · 25 citations · 11 models
vendor site · Albato24 answers · 24 citations · 11 models
vendor site · Software Advice23 answers · 23 citations · 10 models
21 answers · 21 citations · 10 models
vendor site · Oracle20 answers · 25 citations · 9 models
vendor site · Conga19 answers · 26 citations · 11 models
16 answers · 18 citations · 7 models
vendor site · Guideflow15 answers · 19 citations · 9 models
14 answers · 17 citations · 7 models
publisher (Gane)14 answers · 14 citations · 8 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.
25 answers · 10 models
25 answers · 11 models
24 answers · 11 models
24 answers · 10 models
23 answers · 10 models
21 answers · 10 models
15 answers · 9 models
14 answers · 11 models
13 answers · 7 models
12 answers · 8 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 |
|---|---|---|---|---|---|---|---|---|
| Salesforce parent site Salesforce Revenue Cloud 57% | 57% | 233 | 550,000 | 60,632 | ||||
| Apttus conga.com Conga CPQ 20%, Apttus 0% | 20% | 133 | 320 | 19 | 46,363 | $224 | 120 | |
| Oracle parent site Oracle CPQ 16% | 16% | 144 | 450,000 | 66,611 | ||||
| SAP CPQ | 2% | 135,000 | 74,309 | |||||
| Tacton tacton.com | 2% | 35 | 480 | 25 | 1,142 | 7 | ||
| QuoteWerks quotewerks.com | 2% | 66 | 1,300 | 22 | 3,244 | 27 | 5 | |
| ServiceCPQ | 2% | |||||||
| DealHub dealhub.io | 0% | 172 | 1,900 | 83 | 319,299 | $372 | 62 | 1 |
| PROS Smart CPQ pros.com | 0% | 24 | 40 | 0 | 17,307 | 1 | ||
| Experlogix experlogix.com | 0% | 36 | 480 | 7 | 1,736 | 37 |
Google's top ten for the two searches hold 15 sites; 1 of them are among the sites the models cited here (g2.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 an enterprise B2B company?”Paraphrase“Which configure, price, quote tool would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade CPQ tools and how do they differ?”Budget-constrained“What is the best CPQ software 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 CPQ software. What should we look at?”Negative“Which CPQ tools should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5Conga CPQagainst: Oracle CPQSalesforce Revenue CloudChangedno first choiceOracle CPQno first choiceagainst: Conga CPQ, Oracle CPQ, SAP CPQ, Salesforce Revenue Cloud
Two alternatives
SAP CPQ, Salesforce Revenue CloudThree alternatives
Conga CPQ, Oracle CPQ, SAP CPQTwo alternatives
SAP CPQ, Salesforce Revenue CloudGPT-5.4 miniSalesforce Revenue CloudOracle CPQ, Salesforce Revenue CloudChangedno first choiceConga CPQ, Oracle CPQagainst: Salesforce Revenue Cloudno first choiceagainst: Conga CPQ, Oracle CPQ, Salesforce Revenue Cloud
Four alternatives
Conga CPQ, DealHub, Oracle CPQ, SAP CPQSeven alternatives
Conga CPQ, DealHub, Epicor CPQ, Experlogix, Oracle CPQ, SAP CPQ, Salesforce Revenue CloudGemini 3.5 FlashSalesforce Revenue CloudSalesforce Revenue CloudHeldno first choiceagainst: Conga CPQTactonagainst: Oracle CPQ, Salesforce Revenue CloudSalesforce Revenue Cloudagainst: Better Proposals, Epicor CPQ, Freshworks Quoting, HubSpot Commerce Hub, Infor CPQ, Oracle CPQ, PandaDoc, Proposify, Qwilr, SAP CPQ, Salesforce Revenue Cloud, Workday native quoting, Zoho CPQ
Six alternatives
Conga CPQ, DealHub, Infor CPQ, Oracle CPQ, SAP CPQ, TactonFive alternatives
Conga CPQ, DealHub, Oracle CPQ, PROS Smart CPQ, SAP CPQSix alternatives
DealHub, Oracle CPQ, PROS Smart CPQ, SAP CPQ, Salesforce Revenue Cloud, TactonTwo alternatives
DealHub, PROS Smart CPQFive alternatives
Conga CPQ, DealHub, Experlogix, Oracle CPQ, TactonPerplexity SonarSalesforce Revenue CloudConga CPQChangedSalesforce Revenue CloudConga CPQno first choiceagainst: Conga CPQ, DealHub, Oracle CPQ, PROS Smart CPQ, PandaDoc, SAP CPQ, Salesforce Revenue Cloud
Four alternatives
Conga CPQ, DealHub, Oracle CPQ, SAP CPQFour alternatives
DealHub, Oracle CPQ, SAP CPQ, Salesforce Revenue CloudEight alternatives
Cincom CPQ, Conga CPQ, DealHub, Oracle CPQ, PROS Smart CPQ, Revalize, SAP CPQ, Zuora CPQFive alternatives
DealHub, Oracle CPQ, SAP CPQ, Salesforce Revenue Cloud, Zuora CPQGrok 4.20Salesforce Revenue Cloudagainst: PandaDocSalesforce Revenue CloudHeldagainst: DealHubConga CPQ, Salesforce Revenue CloudOracle CPQagainst: Conga CPQ, Salesforce Revenue CloudSalesforce Revenue Cloudagainst: Bigmachines, Conga CPQ, IBM CPQ, Salesforce Revenue Cloud, Tacton
Four alternatives
Conga CPQ, DealHub, Oracle CPQ, SAP CPQFour alternatives
Conga CPQ, NetSuite CPQ, Oracle CPQ, SAP CPQSix alternatives
DealHub, Oracle CPQ, PROS Smart CPQ, SAP CPQ, Tacton, VendavoFive alternatives
Conga CPQ, DealHub, Oracle CPQ, PROS Smart CPQ, SAP CPQMistral SmallConga CPQ, Salesforce Revenue CloudOracle CPQ, Salesforce Revenue CloudChangedConga CPQ, Salesforce Revenue CloudSalesforce Revenue Cloudno first choiceagainst: Conga CPQ, Oracle CPQ, Salesforce Revenue Cloud
Two alternatives
Oracle CPQ, SAP CPQThree alternatives
Conga CPQ, DealHub, SAP CPQThree alternatives
DealHub, Oracle CPQ, SAP CPQTwo alternatives
Conga CPQ, DealHubDeepSeek V4 FlashSalesforce Revenue CloudSalesforce Revenue CloudHeldno first choiceOracle CPQno first choiceagainst: Conga CPQ, Infor CPQ, NetSuite CPQ, Oracle CPQ, PROS Smart CPQ, SAP CPQ, Salesforce Revenue Cloud
Six alternatives
Conga CPQ, Oracle CPQ, PROS Smart CPQ, SAP CPQ, Tacton, VendavoTwo alternatives
Conga CPQ, Oracle CPQSeven alternatives
Conga CPQ, DealHub, NetSuite CPQ, Oracle CPQ, SAP CPQ, Salesforce Revenue Cloud, TactonTwo alternatives
SAP CPQ, Salesforce Revenue CloudLlama 4 MaverickSalesforce Revenue Cloudno first choiceChangedno first choiceSalesforce Revenue Cloudno first choiceagainst: Salesforce Revenue Cloud
Four alternatives
Conga CPQ, DealHub, Oracle CPQ, SAP CPQTwo alternatives
Conga CPQ, DealHubQwen 3.7 FlashConga CPQ, Salesforce Revenue CloudSalesforce Revenue CloudChangedSalesforce Revenue CloudSalesforce Revenue Cloudno first choiceagainst: Oracle CPQ, Salesforce Revenue Cloudagainst: Apttus-era Conga CPQ, Oracle CPQ, PandaDoc, Proposify, Qwilr, SAP CPQ, Salesforce Revenue Cloud, ServiceNow CPQ
Two alternatives
Oracle CPQ, SAP CPQThree alternatives
Conga CPQ, Oracle CPQ, SAP CPQFive alternatives
Conga CPQ, DealHub, Oracle CPQ, SAP CPQ, TactonOne alternative
Conga CPQKimi K2Conga CPQ, Salesforce Revenue CloudConga CPQ, Salesforce Revenue CloudHeldSalesforce Revenue CloudOracle CPQ, QuoteWerksSalesforce Revenue Cloudagainst: Oracle CPQ, SAP CPQ, Salesforce Legacy CPQ, Salesforce Revenue Cloud
Three alternatives
DealHub, Oracle CPQ, SAP CPQTwo alternatives
Oracle CPQ, SAP CPQEight alternatives
Conga CPQ, DealHub, Experlogix, Infor CPQ, Nue, Oracle CPQ, SAP CPQ, TactonThree alternatives
PROS Smart CPQ, SAP CPQ, Salesforce Revenue CloudFour alternatives
Conga CPQ, DealHub, Experlogix, SAP CPQGLM 4.7 FlashXSalesforce Revenue CloudSalesforce Revenue CloudHeldno first choiceConga CPQ, Salesforce Revenue Cloudagainst: ServiceNow CPQno first choiceagainst: Conga CPQ, Epicor CPQ, Oracle CPQ, PandaDoc, Proposify, QuoteWerks, SAP CPQ, Salesforce Revenue Cloud, ServiceNow CPQ, Tacton, Vendavo, Zoho CRM
Six alternatives
Conga CPQ, DealHub, NetSuite CPQ, Oracle CPQ, PROS Smart CPQ, SAP CPQThree alternatives
Conga CPQ, Oracle CPQ, SAP CPQEight alternatives
Conga CPQ, Logik.io, Oracle CPQ, PROS Smart CPQ, SAP CPQ, Salesforce Revenue Cloud, Tacton, VendavoThree alternatives
DealHub, Oracle CPQ, SAP CPQMiniMax M2.5Conga CPQ, Salesforce Revenue CloudConga CPQ, Salesforce Revenue CloudHeldno first choiceServiceCPQagainst: Oracle CPQ, Salesforce Revenue Cloudno first choiceagainst: Oracle CPQ, SAP CPQ, Salesforce Revenue Cloud
Three alternatives
Oracle CPQ, PROS Smart CPQ, SAP CPQThree alternatives
Oracle CPQ, SAP CPQ, ServiceNow CPQTwo alternatives
QuoteWerks, SAP CPQGPT-6 LunaOracle CPQOracle CPQ, Salesforce Revenue CloudChangedno first choiceSAP CPQno first choiceagainst: Oracle CPQ, SAP CPQ, Salesforce Revenue Cloud
Three alternatives
PROS Smart CPQ, SAP CPQ, Salesforce Revenue CloudTwo alternatives
SAP CPQ, TactonSeven alternatives
Conga CPQ, DealHub, Epicor CPQ, Oracle CPQ, SAP CPQ, Salesforce Revenue Cloud, TactonMuse Glimmer 30BSalesforce Revenue CloudSalesforce Revenue CloudHeldOracle CPQ, Salesforce Revenue CloudSalesforce Revenue Cloudagainst: Hyperline, Oracle CPQno first choiceagainst: Conga CPQ, DocuSign CLM, Ironclad, Oracle CPQ, PandaDoc, Proposify, SAP CPQ, Salesforce Revenue Cloud
Three alternatives
Conga CPQ, Oracle CPQ, SAP CPQTwo alternatives
Oracle CPQ, SAP CPQSix alternatives
Configure One, Conga CPQ, Epicor CPQ, Experlogix, SAP CPQ, TactonTwo alternatives
Conga CPQ, SAP CPQBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 15:49 | yes | 9 | 9 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:05 | yes | 3 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 12:26 | yes | 13 | 24 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 16:54 | yes | 10 | 4 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 17:23 | yes | 5 | 10 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:37 | yes | 5 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:38 | yes | 18 | 26 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 10:47 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 09:30 | yes | 5 | 29 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 16:51 | yes | 13 | 25 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 14:57 | yes | 12 | 56 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:00 | yes | 5 | 28 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 16:49 | yes | 5 | 15 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:41 | yes | 15 | 18 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 08:52 | yes | 19 | 10 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 13:43 | yes | 5 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 11:25 | no | 0 | 14 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 09:09 | yes | 10 | 3 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 14:30 | yes | 5 | 9 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 15:52 | yes | 5 | 5 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 13:16 | yes | 22 | 28 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 14:17 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 09:01 | yes | 5 | 26 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:07 | yes | 15 | 23 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:25 | yes | 15 | 22 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 13:59 | yes | 5 | 47 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:49 | yes | 4 | 21 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:15 | yes | 12 | 16 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 08:59 | yes | 9 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 13:17 | yes | 6 | 9 s |
| Comparative | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 15:08 | no | 0 | 18 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 15:44 | yes | 10 | 6 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 16:41 | yes | 5 | 12 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 08:58 | yes | 10 | 10 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 08:47 | yes | 22 | 46 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 13:14 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:37 | yes | 14 | 72 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 14:12 | yes | 17 | 35 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:44 | yes | 18 | 99 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 14:30 | yes | 9 | 32 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 15:19 | yes | 11 | 40 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 12:22 | yes | 25 | 35 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 14:08 | yes | 9 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 15:33 | yes | 5 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 11:23 | yes | 7 | 19 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 13:41 | yes | 10 | 4 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 15:05 | yes | 10 | 12 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:21 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:00 | yes | 22 | 28 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:26 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 17:35 | yes | 5 | 55 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:41 | yes | 18 | 42 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:23 | yes | 23 | 70 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:55 | yes | 14 | 41 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:39 | yes | 1 | 18 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:56 | yes | 15 | 35 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:25 | yes | 19 | 14 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 08:46 | no | 0 | 11 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 12:43 | no | 0 | 23 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 12:39 | yes | 10 | 8 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 14:54 | yes | 15 | 20 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 14:20 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:43 | yes | 23 | 40 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 13:08 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 15:07 | no | 0 | 34 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:08 | yes | 20 | 34 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:39 | yes | 14 | 88 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 17:35 | no | 0 | 12 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 17:14 | yes | 3 | 23 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 13:29 | yes | 13 | 20 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 17:22 | yes | 17 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 14:03 | yes | 5 | 7 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 15:36 | no | 0 | 19 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 16:41 | yes | 10 | 5 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 15:32 | yes | 10 | 17 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 08:43 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 15:38 | yes | 24 | 49 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 13:52 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 08:46 | yes | 25 | 96 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 08:38 | yes | 25 | 60 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 16:59 | yes | 14 | 165 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 13:01 | yes | 25 | 46 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:29 | yes | 4 | 17 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 17:26 | yes | 25 | 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
Cincom read as Cincom CPQ
Conga read as Conga CPQ
Conga (formerly Apttus) read as Conga CPQ
Conga Smart CPQ read as Conga CPQ
Epicor read as Epicor CPQ
PROS read as PROS Smart CPQ
Salesforce CPQ read as Salesforce Revenue Cloud
Salesforce CPQ (Legacy Managed Package) 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 CPQ (SteelBrick) read as Salesforce Revenue Cloud
Salesforce CPQ (SteelBricks) read as Salesforce Revenue Cloud
Salesforce CPQ (formerly SteelBrick) read as Salesforce Revenue Cloud
Salesforce CPQ (now part of Revenue Cloud) read as Salesforce Revenue Cloud
Salesforce CPQ (or Salesforce Agentforce Revenue Management) read as Salesforce Revenue Cloud
Salesforce CPQ (part of Salesforce 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
Salesforce Revenue Management read as Salesforce Revenue Cloud
Unresolved, counted raw
Apttus CPQ (now part of Conga)
Apttus-era Conga CPQ
Cogmatic
Configure One
Freshworks Quoting
Gorilla
Korrect
PROS-derived capabilities
Pega CPQ
Revenue Lifecycle Management (RLM)
Salesforce Legacy CPQ
ServiceCPQ
Verenia
Workday native quoting
Zuora Revenue
Discontinued, still offered
No shut-down product was recommended here.