Proposal software for enterprise buyers
Asked as “proposal software”, and as “sales proposal and quote document tool”, on behalf of an enterprise B2B company. 52 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
19%
Contested · Conga Composer 12%
19PandaDoc12Conga Composer12Responsive58others
19% of first choices, contested.
Since September 2026▼−5Since September 2026: 22% → 17%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.PandaDoc held the lead, −5 points on 22%, 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
PandaDoc67%Clear leader▲+16Since September 2026: 49% → 65%, +16 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →Mid-marketPandaDoc65%Clear leader▲+18Since September 2026: 49% → 67%, +18 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →EnterprisePandaDoc19%Contested▼−5Since September 2026: 22% → 17%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This page
PandaDoc67%Clear leader▲+16Since September 2026: 49% → 65%, +16 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →Mid-marketPandaDoc65%Clear leader▲+18Since September 2026: 49% → 67%, +18 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →EnterprisePandaDoc19%Contested▼−5Since September 2026: 22% → 17%, −5 points. Inside the 11-point floor: within noise. 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
01PandaDoc19%29%58criticized challenger▼−5Since September 2026: 22% → 17%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.22% → 17%
PandaDoc19%29%58criticized challenger▼−5Since September 2026: 22% → 17%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.22% → 17%02
Responsive12%7%42accepted challenger=heldSince September 2026: 13% → 13%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.13% → 13%
Responsive12%7%42accepted challenger=heldSince September 2026: 13% → 13%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.13% → 13%03
Conga Composer12%4%25accepted challenger▲+3Since September 2026: 7% → 11%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.7% → 11%
Conga Composer12%4%25accepted challenger▲+3Since September 2026: 7% → 11%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.7% → 11%04
Loopio6%5%38accepted challenger▲+3Since September 2026: 4% → 7%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 7%
Loopio6%5%38accepted challenger▲+3Since September 2026: 4% → 7%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 7%05
DealHub6%0%19accepted challenger▼−7Since September 2026: 11% → 4%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.11% → 4%
DealHub6%0%19accepted challenger▼−7Since September 2026: 11% → 4%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.11% → 4%06
GetAccept4%0%18accepted challenger▼−3Since September 2026: 7% → 4%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.7% → 4%
GetAccept4%0%18accepted challenger▼−3Since September 2026: 7% → 4%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.7% → 4%07
Better Proposals4%45%11criticized challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 4%
Better Proposals4%45%11criticized challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 4%Show the three products at 0%, ordered by negative rate
09
Proposify0%41%41criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
Proposify0%41%41criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%10
Qwilr0%41%27criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Qwilr0%41%27criticized 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
Upland Qvidian0%16%19accepted challenger▼−4Since September 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 0%
Upland Qvidian0%16%19accepted 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 six head-to-head pages: the top four products, each against each
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
01020304050607080910Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative30%
Key
01PandaDoc19%
PandaDoc19%02Responsive12%
Responsive12%03Conga Composer12%
Conga Composer12%04Loopio6%
Loopio6%05DealHub6%
DealHub6%06GetAccept4%
GetAccept4%07Better Proposals4%
Better Proposals4%08Upland Qvidian0%
Upland Qvidian0%09Proposify0%
Proposify0%10Qwilr0%
Qwilr0%What they warned about
Zero of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Grok 4.1 Fast, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5, 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.
Proposify41%
17 of 41 labels negative · 11 of 14 models · 7 hard negative
“Proposify caters to small companies, so it lacks many core functionalities... that larger sales organizations consider business-critical.” Claude Haiku 4.5, negative prompt
PandaDoc29%
17 of 58 labels negative · 9 of 14 models · 7 hard negative
“"Avoid for enterprise bid management, RFP response, government contracting, or formal compliance-heavy procurement"” MiniMax M2.5, negative prompt
Qwilr41%
11 of 27 labels negative · 8 of 14 models · 5 hard negative
“"Avoid general-purpose tools like Proposify, Qwilr, or PandaDoc for federal work requiring **SF330 compliance**"” Muse Glimmer 30B, negative prompt
Better Proposals45%
5 of 11 labels negative · 5 of 14 models · 4 hard negative
“large enterprises should avoid—or exercise extreme caution when evaluating—the following five categories... Freelancer- and SMB-Centric Proposal Tools Examples: Better Proposals, Bonsai, Prospero, Nusii” Gemini 3.5 Flash, 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. 1115 links across 248 sites, every framing counted. Ranked by the number of answers carrying the site or page. 13 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
vendor site · Responsive44 answers · 63 citations · 14 models
vendor site · GetAccept41 answers · 58 citations · 12 models
vendor site · PandaDoc31 answers · 50 citations · 12 models
vendor site · Monday.com26 answers · 32 citations · 10 models
vendor site · SiftHub26 answers · 28 citations · 11 models
vendor site · Inventive25 answers · 35 citations · 10 models
vendor site · Proposify25 answers · 30 citations · 9 models
vendor site · Qwilr23 answers · 37 citations · 8 models
23 answers · 34 citations · 13 models
23 answers · 23 citations · 11 models
vendor site · Loopio21 answers · 28 citations · 10 models
vendor site · Oneflow20 answers · 24 citations · 10 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
35 answers · 12 models
30 answers · 11 models
24 answers · 9 models
24 answers · 10 models
23 answers · 11 models
23 answers · 10 models
15 answers · 9 models
14 answers · 8 models
13 answers · 6 models
12 answers · 7 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 proposal software”, “proposal 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 | 19% | 527 | 60,500 | 510 | 425,196 | $42,516 | 119 | 1 |
| Conga conga.com Conga Composer 12%, Conga CPQ 2%, Conga CPQ, Advantage CPQ 2% | 15% | 108 | 27,100 | 2,882 | 46,363 company | $224 | 120 | |
| Salesforce parent site Salesforce CPQ 12%, Salesforce Revenue Cloud 4% | 15% | 215 | 550,000 | 60,632 | ||||
| Responsive responsive.io | 12% | 213 | 12,100 | 210,141 | 37,620 | 16 | ||
| Loopio loopio.com | 6% | 220 | 3,600 | 80 | 4,640 | 26 | ||
| DealHub dealhub.io | 6% | 175 | 1,900 | 83 | 319,299 | $372 | 62 | |
| AutoRFP.ai autorfp.ai | 6% | 76 | 70 | 0 | 38,771 | 2 | ||
| GetAccept getaccept.com | 4% | 189 | 590 | 9 | 15,454 | $4,087 | 14 | 6 |
| Better Proposals betterproposals.io | 4% | 132 | 1,300 | 65 | 24,251 | 5 | 4 | |
| AutogenAI autogenai.com | 2% | 14 | 320 | 6 | 444 | 1 |
Google's top ten for the two searches hold 15 sites; 4 of them are among the sites the models cited here (getaccept.com, pandadoc.com, proposify.com, sifthub.io). The first result for “best proposal software” is grantbite.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 proposal software for an enterprise B2B company?”Paraphrase“Which sales proposal and quote document tool would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade proposal tools and how do they differ?”Budget-constrained“What is the best proposal 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 proposal software. What should we look at?”Negative“Which proposal tools should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5no first choiceConga ComposerChangedResponsiveBetter Proposalsno first choiceagainst: Better Proposals, PandaDoc, Proposify
Five alternatives
Conga Composer, DealHub, GetAccept, PandaDoc, ResponsiveThree alternatives
DealHub, Responsive, Salesforce CPQFour alternatives
Conga Composer, GetAccept, Loopio, PandaDocTwo alternatives
Conga CPQ, GetAcceptGPT-5.4 miniResponsiveSalesforce Revenue CloudChangedLoopio, QwilrGetAcceptagainst: Better Proposals, Proposifyno first choicenothing named
Three alternatives
Fresh Proposals, PandaDoc, Salesforce Revenue CloudThree alternatives
Conga Composer, PandaDoc, ProposifyTwo alternatives
PandaDoc, ResponsiveGemini 3.5 FlashGetAcceptConga Composer, DealHubChangedResponsiveagainst: Upland QvidianAutoRFP.ai, DealHubagainst: PandaDoc, Proposify, Qwilr, ResponsiveResponsiveagainst: Adobe InDesign, Better Proposals, Bonsai, Canva, DocuSign Gen, Dropbox Sign, Nusii, PandaDoc, Proposify, Prospero
Six alternatives
Conga Composer, DealHub, Loopio, PandaDoc, Qwilr, ResponsiveFive alternatives
GetAccept, Loopio, PandaDoc, Responsive, Salesforce Revenue CloudFive alternatives
DealHub, GetAccept, Loopio, PandaDoc, QorusDocsTwo alternatives
Conga Composer, RocketDocsFour alternatives
AutoRFP.ai, Loopio, Sequesto, Upland QvidianPerplexity SonarPandaDocSalesforce CPQChangedPandaDocagainst: OneflowBetter Proposalsno first choicenothing named
Four alternatives
Conga Composer, GetAccept, Qwilr, ResponsiveTwo alternatives
GetAccept, QwilrTwo alternatives
Responsive, Upland QvidianThree alternatives
Loopio, PandaDoc, ProposifyGrok 4.1 FastSalesforce CPQagainst: Oracle CPQSalesforce Revenue CloudChangedagainst: PandaDocLoopio, ResponsiveLoopio, Responsiveagainst: PandaDoc, Proposify, QwilrPandaDocagainst: Jotform, PandaDoc, Proposify, Qwilr
Three alternatives
DealHub, PandaDoc, ProposifyThree alternatives
Conga Composer, Oracle CPQ, PROS Smart CPQThree alternatives
PandaDoc, Proposify, Upland QvidianFour alternatives
DealHub, Oracle CX CPQ, QuoteWerks, Salesforce CPQFour alternatives
Conga CPQ, GetAccept, Loopio, ProposifyMistral SmallPandaDocConga Composer, PandaDocChangedResponsiveAMW Proposals, Bidarano first choiceagainst: PandaDoc, Proposify, Qwilr
Three alternatives
GetAccept, Loopio, OneflowOne alternative
ProsperoFour alternatives
GetAccept, Nusii, Proposify, Upland QvidianTwo alternatives
Inventive AI, LoopioDeepSeek V4 FlashResponsiveConga CPQ, Salesforce CPQChangedagainst: PandaDoc, Proposify, QwilrLoopio, Responsiveagainst: Conga ComposerAutoRFP.aiagainst: Loopio, PandaDoc, Proposify, Qwilr, Responsiveno first choiceagainst: Bidsketch, PandaDoc, Proposify, Qwilr
Four alternatives
Loopio, PandaDoc, Proposify, Upland QvidianOne alternative
Oracle CPQSix alternatives
AutogenAI, Inventive AI, PandaDoc, Proposify, RFP360, Upland QvidianTwo alternatives
Arphie, Inventive AILlama 4 Maverickno first choiceOracle CPQ, SAP CPQ, Salesforce CPQChangedno first choiceno first choiceAutogenAIagainst: PandaDoc, Proposify, Qwilr
Qwen 3.7 FlashConga ComposerPandaDocChangedagainst: Salesforce CPQResponsiveLoopiono first choiceagainst: SharePoint, Vocus/RFP360
Four alternatives
GetAccept, PandaDoc, Proposify, Upland QvidianFive alternatives
DealHub, DocuSign CLM, Highspot, Qwilr, SeismicSeven alternatives
Conga Composer, Loopio, PandaDoc, Proposify, QorusDocs, SiftHub, Upland QvidianThree alternatives
Microsoft Word Online + Office 365, PandaDoc, QwilrKimi K2Loopio, ResponsiveConga Composer, Salesforce CPQChangedagainst: PandaDocno first choiceAutoRFP.aiagainst: Icertis, Ironclad, PandaDoc, Proposifyno first choiceagainst: PandaDoc, Proposify, Upland Qvidianagainst: PandaDoc, Proposify
Three alternatives
Conga Composer, PandaDoc, QwilrTwo alternatives
Icertis, TemplafySeven alternatives
Conga Composer, Loopio, PandaDoc, Proposify, Qwilr, Responsive, Upland QvidianFour alternatives
Conga CLM, Loopio, Qwilr, ResponsiveGLM 4.7 FlashXResponsivePandaDocChangedLoopio, Responsive, Upland QvidianPandaDocno first choiceagainst: Agiled, Better Proposals
Four alternatives
Loopio, PandaDoc, Proposify, Upland QvidianTwo alternatives
DealHub, Upland QvidianFour alternatives
Conga Composer, HoneyBook, PandaDoc, ProposifyFour alternatives
GetAccept, Loopio, Proposify, ResponsiveMiniMax M2.5PandaDoc, monday CRMSalesforce CPQChangedno first choiceno first choiceno first choiceagainst: PandaDoc, Proposify, Qwilr
Three alternatives
Proposify, Qwilr, SiftHubThree alternatives
Conga CPQ, Oracle CPQ, SAP CPQFour alternatives
PandaDoc, Proposify, Responsive, Upland QvidianGPT-6 LunaDealHubConga ComposerChangedLoopio, ResponsivePandaDocagainst: Qwilrno first choiceagainst: Loopio, Proposify, Responsive, Upland Qvidian
Three alternatives
Loopio, PandaDoc, ResponsiveOne alternative
Conga CPQFour alternatives
Conga Composer, DealHub, PandaDoc, Upland QvidianOne alternative
ProposifyMuse Glimmer 30BPandaDocConga CPQ, Advantage CPQChangedPandaDoc, Responsive formerly RFPIOInventive AIno first choiceagainst: Better Proposals, PandaDoc, Proposify, Qwilr
Two alternatives
Proposify, QwilrTwo alternatives
DealHub, Salesforce Revenue Cloud CPQ / Salesforce CPQFive alternatives
GetAccept, Loopio, Proposify, Qwilr, Upland QvidianFive alternatives
Arphie, Better Proposals, Loopio, PandaDoc, ResponsiveBold 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 11:18 | yes | 9 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:12 | yes | 4 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:18 | yes | 16 | 18 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 08:28 | yes | 20 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:56 | yes | 24 | 10 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:33 | yes | 5 | 3 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:49 | yes | 20 | 23 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:46 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:21 | yes | 9 | 18 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 14:12 | yes | 19 | 23 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:47 | yes | 12 | 90 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:09 | yes | 10 | 19 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 13:32 | yes | 3 | 13 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:25 | yes | 14 | 17 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 12:45 | yes | 9 | 7 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:20 | yes | 4 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:46 | yes | 15 | 23 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 07:54 | yes | 18 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:17 | yes | 22 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:09 | yes | 5 | 3 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:10 | yes | 22 | 28 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:38 | yes | 5 | 1 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:52 | no | 0 | 33 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:51 | yes | 25 | 27 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:35 | yes | 23 | 92 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:30 | yes | 9 | 30 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:20 | yes | 2 | 14 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 14:16 | yes | 25 | 25 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:55 | yes | 9 | 10 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:08 | yes | 2 | 10 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:18 | yes | 17 | 28 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 12:20 | yes | 19 | 5 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 14:10 | yes | 20 | 9 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:42 | yes | 14 | 11 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:04 | yes | 21 | 51 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 14:15 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:33 | yes | 20 | 32 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:24 | yes | 25 | 32 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:43 | yes | 13 | 77 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:50 | yes | 23 | 26 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:07 | yes | 6 | 23 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:55 | yes | 23 | 49 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:48 | yes | 17 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 13:09 | yes | 3 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:08 | yes | 23 | 35 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 12:32 | yes | 19 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:21 | yes | 24 | 8 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:06 | yes | 14 | 6 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:43 | yes | 25 | 30 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:19 | yes | 5 | 1 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:00 | no | 0 | 37 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:56 | yes | 24 | 26 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:36 | yes | 22 | 33 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:39 | yes | 18 | 71 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:48 | yes | 2 | 12 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:51 | yes | 12 | 39 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:16 | no | 0 | 5 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 13:31 | no | 0 | 10 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:48 | yes | 12 | 26 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 08:02 | yes | 18 | 7 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:22 | yes | 15 | 7 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:50 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:38 | yes | 23 | 33 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:43 | yes | 5 | 4 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:02 | no | 0 | 33 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:23 | yes | 25 | 29 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:17 | yes | 15 | 108 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:58 | yes | 19 | 19 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 13:48 | yes | 3 | 20 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:14 | yes | 14 | 27 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:45 | yes | 18 | 11 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:56 | no | 0 | 4 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:39 | yes | 9 | 26 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 07:55 | yes | 20 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:10 | yes | 16 | 5 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:25 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:22 | yes | 22 | 26 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:24 | yes | 5 | 4 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:19 | no | 0 | 30 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:27 | yes | 24 | 32 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:59 | yes | 25 | 39 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:02 | yes | 16 | 30 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:59 | yes | 5 | 21 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 14:07 | yes | 22 | 32 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 Composer
Conga (Conga CPQ & Conga Composer) read as Conga Composer
Conga (by Salesforce) read as Conga Composer
Conga (formerly Novatus) read as Conga Composer
Oracle read as Oracle CPQ
Unresolved, counted raw
AMW Proposals
Adobe InDesign
Conga CPQ, Advantage CPQ
Fresh Proposals
Microsoft Word Online + Office 365
Oracle CX CPQ
Qvidian By Upland
Salesforce
Salesforce Revenue Cloud CPQ / Salesforce CPQ
Sequesto
Vocus/RFP360
Discontinued, still offered
No shut-down product was recommended here.