CPQ for enterprise buyers
Asked as “CPQ software”, and as “configure, price, quote tool”, on behalf of an enterprise B2B company. 53 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
49%
Clear leader
49Salesforce Revenue Cloud34Oracle CPQ04Conga CPQ13others
49% of first choices, clear leader.
Since September 2026▼−12Since September 2026: 61% → 49%, −12 points. Past the 11-point floor: movement. Read over the models both editions asked.Salesforce Revenue Cloud held the lead, −12 points on 61%, past the 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.Standing →Mid-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.This page
PandaDoc45%Clear leader▼−7Since September 2026: 54% → 47%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Mid-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.This pageThe standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Salesforce Revenue Cloud49%31%72criticized default▼−12Since September 2026: 61% → 49%, −12 points. Past the 11-point floor: movement. Read over the models both editions asked.61% → 49%
Salesforce Revenue Cloud49%31%72criticized default▼−12Since September 2026: 61% → 49%, −12 points. Past the 11-point floor: movement. Read over the models both editions asked.61% → 49%02
Oracle CPQ34%19%63endorsed leader▲+15Since September 2026: 18% → 33%, +15 points. Past the 11-point floor: movement. Read over the models both editions asked.18% → 33%
Oracle CPQ34%19%63endorsed leader▲+15Since September 2026: 18% → 33%, +15 points. Past the 11-point floor: movement. Read over the models both editions asked.18% → 33%03
Conga CPQ4%16%50accepted challenger=heldSince September 2026: 4% → 4%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 4%
Conga CPQ4%16%50accepted challenger=heldSince September 2026: 4% → 4%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 4%04SAP CPQ4%21%43accepted challenger▼−4Since September 2026: 6% → 2%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.6% → 2%
05
Tacton4%5%21accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 4%
Tacton4%5%21accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 4%06DealHub2%9%34accepted challenger▼−4Since September 2026: 6% → 2%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.6% → 2%
DealHub2%9%34accepted challenger▼−4Since September 2026: 6% → 2%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.6% → 2%Show the three products at 0%, ordered by negative rate
09PandaDoc0%60%10criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
PandaDoc0%60%10criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%08
Zuora CPQ0%8%13accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Zuora CPQ0%8%13accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%07
PROS Smart CPQ0%0%18accepted challenger▼−4Since September 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 0%
PROS Smart CPQ0%0%18accepted challenger▼−4Since September 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 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 →
010203S04
0506070809Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative60%
Key
01Salesforce Revenue Cloud49%
Salesforce Revenue Cloud49%02Oracle CPQ34%
Oracle CPQ34%03Conga CPQ4%
Conga CPQ4%04SAP CPQ4%
05Tacton4%
Tacton4%06DealHub2%
DealHub2%07PROS Smart CPQ0%
PROS Smart CPQ0%08Zuora CPQ0%
Zuora CPQ0%09PandaDoc0%
PandaDoc0%What they warned about
Six of fourteen models held their first choice under the paraphrase. GPT-5.4 mini, Gemini 3.5 Flash, Mistral Small, Llama 4 Maverick, Kimi K2, MiniMax M2.5, GPT-6 Luna and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Salesforce Revenue Cloud31%
22 of 72 labels negative · 12 of 14 models · 10 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 CPQ19%
12 of 63 labels negative · 11 of 14 models · 2 hard negative
“Oracle CPQ — if you're not already in the Oracle ecosystem; complexity and bugs make it risky” DeepSeek V4 Flash, negative prompt
SAP CPQ
21%
9 of 43 labels negative · 8 of 14 models · 2 hard negative
“**Major concerns:** UI/UX is not intuitive - Steep learning curve for new users - Complex setup process requiring specialized knowledge” GLM 4.7 FlashX, negative prompt
Conga CPQ16%
8 of 50 labels negative · 7 of 14 models · 3 hard negative
“Solutions like PandaDoc and Conga CPQ that only handle a portion of the quoting process ... Conga CPQ support is not responsive” Claude Haiku 4.5, 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
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. 1015 links across 199 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 · Conga40 answers · 63 citations · 13 models
vendor site · Qobra35 answers · 36 citations · 10 models
vendor site · Monday.com33 answers · 42 citations · 11 models
vendor site · Guideflow32 answers · 35 citations · 10 models
vendor site · Albato32 answers · 32 citations · 12 models
vendor site · DealHub27 answers · 37 citations · 11 models
vendor site · Everstage25 answers · 29 citations · 9 models
vendor site · Alguna21 answers · 28 citations · 9 models
20 answers · 36 citations · 9 models
vendor site · Salesbricks20 answers · 23 citations · 8 models
vendor site · Gartner16 answers · 18 citations · 9 models
15 answers · 15 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.
35 answers · 10 models
32 answers · 12 models
32 answers · 12 models
32 answers · 11 models
28 answers · 10 models
22 answers · 8 models
20 answers · 9 models
15 answers · 10 models
15 answers · 8 models
13 answers · 6 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best 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 49% | 49% | 215 | 550,000 | 60,632 | ||||
| Oracle parent site Oracle CPQ 34% | 34% | 123 | 450,000 | 66,611 | ||||
| Apttus conga.com Conga CPQ 4%, Apttus 0%, Conga Advantage CPQ 0% | 4% | 108 | 320 | 19 | 46,363 | $224 | 120 | |
| SAP CPQ | 4% | 135,000 | 74,309 | |||||
| Tacton tacton.com | 4% | 32 | 480 | 25 | 1,142 | 7 | ||
| DealHub dealhub.io | 2% | 175 | 1,900 | 83 | 319,299 | $372 | 62 | 1 |
| Salesforce Industries CPQ / Salesforce CPQ | 2% | |||||||
| QuoteWerks quotewerks.com | 2% | 84 | 1,300 | 22 | 3,244 | 27 | 5 | |
| PROS Smart CPQ pros.com | 0% | 32 | 40 | 0 | 17,307 | 1 | ||
| Zuora CPQ zuora.com | 0% | 20 | 90 | 16 | 24,950 | 6 |
Google's top ten for the two searches hold 15 sites; 5 of them are among the sites the models cited here (dealhub.io, g2.com, gartner.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 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 4.5Salesforce Revenue CloudSalesforce Revenue CloudHeldSalesforce Revenue Cloudno first choiceagainst: Oracle CPQno first choiceagainst: Conga CPQ, PandaDoc
Five alternatives
Alguna, Conga CPQ, DealHub, Oracle CPQ, TactonTwo alternatives
Conga CPQ, Oracle CPQFive alternatives
Cincom CPQ, Conga CPQ, Oracle CPQ, PROS Smart CPQ, SAP CPQOne alternative
Salesforce Revenue CloudGPT-5.4 miniSalesforce Revenue CloudOracle CPQ, Salesforce Industries CPQ / Salesforce CPQChangedno first choiceSAP CPQno first choicenothing named
Three alternatives
Conga CPQ, Pricefx, TactonOne alternative
SAP CPQSix alternatives
Conga CPQ, Oracle CPQ, PROS Smart CPQ, SAP CPQ, Salesforce Revenue Cloud, Zuora CPQOne alternative
Salesforce Revenue CloudGemini 3.5 FlashSalesforce Revenue Cloud, TactonSalesforce Revenue CloudChangedSalesforce Revenue CloudDealHubagainst: Salesforce Revenue Cloudno first choiceagainst: Conga CPQ, HubSpot Commerce Hub, Oracle CPQ, PandaDoc, SAP CPQ, Salesforce Revenue Cloud, Zoho CPQ
Five alternatives
DealHub, Epicor CPQ, Infor CPQ, Oracle CPQ, ServiceNow CPQSix alternatives
Conga CPQ, DealHub, Oracle Fusion Cloud CPQ, SAP CPQ, ServiceNow CPQ, TactonFive alternatives
Conga CPQ, DealHub, Oracle CPQ, SAP CPQ, ServiceNow CPQTwo alternatives
Conga CPQ, VendoriPerplexity SonarOracle CPQ, Salesforce Revenue CloudOracle CPQ, Salesforce Revenue CloudHeldSalesforce Revenue CloudQuoteWerksagainst: Oracle CPQ, Salesforce Revenue Cloudno first choiceagainst: Oracle CPQ, SAP CPQ, Salesforce Revenue Cloud
Two alternatives
Conga CPQ, DealHubOne alternative
Conga CPQFive alternatives
Conga CPQ, DealHub, Epicor CPQ, Oracle CPQ, Zuora CPQOne alternative
Conga CPQGrok 4.1 FastSalesforce Revenue CloudSalesforce Revenue CloudHeldno first choiceOracle CPQagainst: Conga CPQ, DealHubno first choiceagainst: Conga CPQ, Oracle CPQ, Salesforce Revenue Cloud, Zuora CPQ
Three alternatives
Infor CPQ, Oracle CPQ, TactonTwo alternatives
Conga CPQ, Oracle CPQTwo alternatives
SAP CPQ, Salesforce Revenue CloudThree alternatives
Conga CPQ, Oracle CPQ, Salesforce Revenue CloudMistral SmallSalesforce Revenue CloudOracle CPQChangedSalesforce Revenue CloudOracle CPQno first choiceagainst: Conga CPQ, Oracle CPQ, Salesforce Revenue Cloud
Four alternatives
Conga CPQ, DealHub, Oracle CPQ, SAP CPQTwo alternatives
Conga CPQ, DealHubSeven alternatives
Conga CPQ, DealHub, NetSuite CPQ, Oracle CPQ, PROS Smart CPQ, SAP CPQ, ServiceNow CPQDeepSeek V4 FlashOracle CPQ, Salesforce Revenue CloudOracle CPQ, Salesforce Revenue CloudHeldno first choiceOracle CPQagainst: SAP CPQno first choiceagainst: Conga CPQ, Oracle CPQ, SAP CPQ, Salesforce Revenue Cloud
Five alternatives
Alguna, Conga CPQ, DealHub, SAP CPQ, TactonTwo alternatives
SAP CPQ, TactonNine alternatives
Conga CPQ, DealHub, Epicor CPQ, Model N, Oracle CPQ, PROS Smart CPQ, SAP CPQ, Salesforce Revenue Cloud, TactonOne alternative
Salesforce Revenue CloudLlama 4 MaverickOracle CPQConga CPQ, Oracle CPQ, Salesforce Revenue CloudChangedno first choiceOracle CPQTactonagainst: Oracle CPQ, Salesforce Revenue Cloud
Two alternatives
Conga CPQ, Zuora CPQOne alternative
Conga CPQThree alternatives
Configure One, Conga CPQ, Oracle CPQQwen 3.7 FlashSalesforce Revenue CloudSalesforce Revenue CloudHeldno first choiceOracle CPQagainst: Salesforce Revenue Cloudno first choiceagainst: DocuSign CLM, HubSpot Commerce Hub, PandaDoc, Power Apps, Qwilr, SAP CPQ, Salesforce Revenue Cloud
Five alternatives
Conga CPQ, DealHub, PROS Smart CPQ, ServicePath, Zuora CPQFive alternatives
Conga CPQ, DealHub, Oracle CPQ, PROS Smart CPQ, SAP CPQOne alternative
SAP CPQKimi K2Oracle CPQ, Salesforce Revenue CloudSalesforce Revenue CloudChangedSalesforce Revenue CloudOracle CPQagainst: Salesforce Revenue Cloudno first choiceagainst: Apttus legacy, Cincom CPQ, Conga CPQ, Freshworks CPQ, HubSpot Commerce Hub, Oracle CPQ, PandaDoc, QuoteWerks, SAP CPQ, Salesforce Revenue Cloud, Tacton, Vendavo, Zoho CPQ
Four alternatives
DealHub, PROS Smart CPQ, SAP CPQ, TactonFour alternatives
Conga Advantage CPQ, DealHub, Oracle CPQ, SAP CPQSix alternatives
Conga CPQ, Epicor CPQ, Infor CPQ, Oracle CPQ, PROS Smart CPQ, SAP CPQTwo alternatives
Infor CPQ, SAP CPQGLM 4.7 FlashXSalesforce Revenue Cloudagainst: Zoho CPQSalesforce Revenue CloudHeldno first choiceSalesforce Revenue Cloudno first choiceagainst: SAP CPQ, Salesforce Revenue Cloud
Six alternatives
Conga CPQ, DealHub, Infor CPQ, Oracle CPQ, SAP CPQ, ServiceNow CPQFive alternatives
Conga CPQ, Logik.io, Oracle CPQ, PROS Smart CPQ, SAP CPQTwo alternatives
Conga CPQ, Oracle CPQMiniMax M2.5Conga CPQ, Salesforce Revenue CloudSalesforce Revenue CloudChangedno first choiceno first choiceno first choiceagainst: DealHub, Experlogix, Oracle CPQ, PandaDoc, QuoteWerks, Salesforce Revenue Cloud
Three alternatives
DealHub, Oracle CPQ, Zuora CPQThree alternatives
Apttus, Oracle CPQ, SAP CPQGPT-6 LunaOracle CPQagainst: Salesforce Revenue CloudOracle CPQ, SAP CPQ, Salesforce Revenue CloudChangedagainst: Salesforce Revenue Cloudno first choiceagainst: Pricefx, Salesforce Revenue CloudSalesforce Revenue Cloudno first choiceagainst: Salesforce Revenue Cloudagainst: Oracle CPQ, SAP CPQ, Salesforce Revenue Cloud
Four alternatives
DealHub, SAP CPQ, Salesforce's current Revenue Management/Revenue Cloud offering, TactonSeven alternatives
Conga CPQ, DealHub, Oracle CPQ, PROS Smart CPQ, SAP CPQ, Salesforce Revenue Cloud, TactonOne alternative
Oracle CPQMuse Glimmer 30BSalesforce Revenue CloudOracle CPQChangedno first choiceSalesforce Revenue Cloudagainst: Conga CPQ, Oracle CPQ, SAP CPQno first choiceagainst: DealHub, PandaDoc, Proposify, QuoteWerks, Salesforce Revenue Cloud, monday CRM
Three alternatives
Conga CPQ, Oracle CPQ, PROS Smart CPQTwo alternatives
Conga CPQ, Salesforce Revenue CloudTwo alternatives
DealHub, YouniumBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:55 | yes | 16 | 10 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:35 | yes | 2 | 4 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:09 | yes | 15 | 19 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 12:51 | yes | 20 | 6 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:26 | yes | 23 | 8 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:10 | yes | 5 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 14:16 | yes | 17 | 36 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:07 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:15 | yes | 13 | 29 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:22 | yes | 13 | 22 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:29 | yes | 15 | 36 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:26 | yes | 5 | 15 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:51 | yes | 6 | 21 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:15 | yes | 12 | 15 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:54 | yes | 9 | 8 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:04 | yes | 2 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:04 | yes | 11 | 21 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 11:23 | yes | 18 | 4 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:08 | yes | 23 | 13 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 13:43 | yes | 5 | 3 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:39 | yes | 18 | 42 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:58 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:49 | yes | 5 | 30 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:29 | yes | 20 | 25 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:12 | yes | 18 | 92 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:52 | no | 0 | 34 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:14 | yes | 3 | 12 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:06 | yes | 23 | 32 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 12:27 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:50 | yes | 7 | 11 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:23 | yes | 13 | 24 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 09:14 | yes | 17 | 4 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:42 | yes | 17 | 12 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:48 | yes | 5 | 7 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:41 | yes | 22 | 43 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:46 | yes | 5 | 4 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:01 | yes | 23 | 110 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:46 | yes | 20 | 29 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:54 | yes | 12 | 31 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:45 | yes | 9 | 18 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:53 | yes | 8 | 32 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:28 | yes | 12 | 30 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:12 | yes | 17 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:18 | yes | 2 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:42 | yes | 25 | 38 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 13:23 | yes | 18 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:57 | yes | 20 | 7 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:28 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:33 | yes | 22 | 22 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:30 | yes | 5 | 1 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:43 | yes | 8 | 26 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:19 | yes | 22 | 27 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:00 | yes | 16 | 23 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:25 | no | 0 | 36 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:11 | yes | 2 | 21 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:43 | yes | 12 | 27 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:38 | no | 0 | 5 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:25 | no | 0 | 8 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:09 | no | 0 | 19 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 08:10 | yes | 20 | 7 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 13:30 | yes | 15 | 10 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:25 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:05 | yes | 22 | 42 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:15 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:34 | no | 0 | 37 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:58 | yes | 24 | 31 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:20 | yes | 11 | 81 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:30 | yes | 5 | 34 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:02 | yes | 3 | 21 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:20 | yes | 14 | 28 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:23 | yes | 18 | 11 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:23 | no | 0 | 7 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:06 | yes | 15 | 26 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 10:17 | yes | 19 | 3 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:58 | yes | 23 | 7 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:03 | yes | 15 | 7 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:50 | yes | 25 | 47 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:00 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:09 | yes | 15 | 51 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 13:05 | yes | 25 | 46 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:36 | yes | 24 | 29 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:42 | yes | 9 | 65 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:27 | yes | 4 | 17 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:08 | yes | 19 | 34 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 Smart CPQ read as Conga CPQ
Oracle read as Oracle CPQ
PROS read as PROS Smart CPQ
PROS CPQ read as PROS Smart CPQ
Salesforce (Agentforce Revenue Management) read as Salesforce Revenue Cloud
Salesforce CPQ read as Salesforce Revenue Cloud
Salesforce CPQ (Legacy Steelbrick-based) read as Salesforce Revenue Cloud
Salesforce CPQ (Revenue Cloud) read as Salesforce Revenue Cloud
Salesforce CPQ (now "Revenue Cloud") read as Salesforce Revenue Cloud
Salesforce CPQ (now Revenue Cloud / 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 Revenue Management read as Salesforce Revenue Cloud
Zuora read as Zuora CPQ
legacy Salesforce CPQ read as Salesforce Revenue Cloud
Unresolved, counted raw
Advantage CPQ
Apttus legacy
CloudSense
Configure One
Freshworks CPQ
Oracle CPQ Cloud, formerly BigMachines
Oracle Fusion Cloud CPQ
Power Apps
Salesforce Industries CPQ / Salesforce CPQ
Salesforce's current Revenue Management/Revenue Cloud offering
Salesforce's newer Revenue Management product
ServicePath
Vendori
Discontinued, still offered
No shut-down product was recommended here.