Index › GTM › Revenue operations › Proposals › Enterprise · November 2026 Edition

Proposal software for enterprise buyers

Asked as “proposal software”, and as “sales proposal and quote document tool”, on behalf of an enterprise B2B company. 57 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
30%
Contested · Responsive 14%
30PandaDoc14Responsive09DealHub47others

30% of first choices, contested.

Since October 2026▲+11Since October 2026: 19% → 30%, +11 points. Inside the 11-point floor: within noise.PandaDoc held the lead, +11 points on 19%, inside the 11-point floor.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.

The standing

Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026
01PandaDoc30%18%65accepted challenger▲+11Since October 2026: 19% → 30%, +11 points. Inside the 11-point floor: within noise.19% → 30%
02Responsive14%7%46accepted challenger▲+2Since October 2026: 12% → 14%, +2 points. Inside the 11-point floor: within noise.12% → 14%
03DealHub9%0%16accepted challenger▲+3Since October 2026: 6% → 9%, +3 points. Inside the 11-point floor: within noise.6% → 9%
04Loopio5%7%42accepted challenger▼−1Since October 2026: 6% → 5%, −1 point. Inside the 11-point floor: within noise.6% → 5%
05Conga Composer5%7%30accepted challenger▼−7Since October 2026: 12% → 5%, −7 points. Inside the 11-point floor: within noise.12% → 5%
06GetAccept5%14%29accepted challenger▲+1Since October 2026: 4% → 5%, +1 point. Inside the 11-point floor: within noise.4% → 5%
07Upland Qvidian4%11%19accepted challenger▲+4Since October 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise.0% → 4%
08QorusDocs2%0%12accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%
09Proposify2%29%45criticized challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%
Show the three products at 0%, ordered by negative rate
12Better Proposals0%82%11criticized challenger▼−4Since October 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise.4% → 0%
11Qwilr0%26%31criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
10Oracle CPQ0%12%17accepted 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.
Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not enterprise.
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 →
01
02
03
04
05
06
07
08
09
10
11
12
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01PandaDoc30%
02Responsive14%
03DealHub9%
04Loopio5%
05Conga Composer5%
06GetAccept5%
07Upland Qvidian4%
08QorusDocs2%
09Proposify2%
10Oracle CPQ0%
11Qwilr0%
12Better Proposals0%

What they warned about

One 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 4.20, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5 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.
Proposify
29%
13 of 45 labels negative · 11 of 14 models · 5 hard negative
“Designed primarily for agencies and small teams... its workflow and governance depth are not on par with enterprise-grade platforms.” GLM 4.7 FlashX, negative prompt
PandaDoc
18%
12 of 65 labels negative · 10 of 14 models · 4 hard negative
“Avoid These Models Per-user SaaS pricing (e.g., PandaDoc $19–$99/user/month... becomes prohibitively expensive and unpredictable” Qwen 3.7 Flash, budget prompt
Better Proposals
82%
9 of 11 labels negative · 8 of 14 models · 5 hard negative
“Built for freelancers and very small agencies; lacks advanced workflow automation, robust role-based permissions, and deep system integrations.” GLM 4.7 FlashX, negative prompt
Qwilr
26%
8 of 31 labels negative · 8 of 14 models · 2 hard negative
“Qwilr 41% 11 of 27 labels negative · 8 of 14 models · 5 hard negative” Muse Glimmer 30B, 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

74 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. 938 links across 239 sites, every framing counted. Ranked by the number of answers carrying the site or page. 40 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.

36 answers · 68 citations · 12 models
vendor site · GetAccept31 answers · 40 citations · 13 models
vendor site · Proposify30 answers · 38 citations · 14 models
vendor site · Software Advice26 answers · 39 citations · 10 models
vendor site · Responsive22 answers · 32 citations · 11 models
vendor site · PandaDoc21 answers · 51 citations · 8 models
vendor site · Capterra20 answers · 39 citations · 9 models
vendor site · Oneflow19 answers · 22 citations · 9 models
vendor site · Loopio15 answers · 22 citations · 7 models
15 answers · 17 citations · 8 models
publisher (Gane)14 answers · 18 citations · 8 models
vendor site · FreshBooks13 answers · 13 citations · 7 models

Pages the answers cite

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

Search against answers

Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best 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 productsShareOwn site citedName searches, GoogleAI search demand, est.Organic visitsPaid search a month, est.Google ads, last 30 daysBest Google position
PandaDoc pandadoc.com30%53860,500510425,196$42,5161191
Responsive responsive.io14%23212,100210,14137,62016
Salesforce parent site
Salesforce Revenue Cloud 9%, Salesforce CPQ 4%
12%233550,00060,632
DealHub dealhub.io9%1721,90083319,299$37262
Conga conga.com
Conga Composer 5%, Conga CPQ 2%
7%13327,1002,88246,363 company$224120
Loopio loopio.com5%2503,600804,64026
GetAccept getaccept.com5%235590915,454$4,087146
Upland Qvidian uplandsoftware.com4%10640167,149$1,203265
QorusDocs qorusdocs.com2%30
Proposify proposify.com2%2593,6002838,103272

Google's top ten for the two searches hold 15 sites; 4 of them are among the sites the models cited here (capterra.com, getaccept.com, pandadoc.com, proposify.com). 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
ModelDirect“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 4.5GetAccept
Four alternativesDealHub, Loopio, PandaDoc, Responsive
Conga Composer, DealHubChanged
Two alternativesPandaDoc, Responsive
no first choiceAutoRFP.ai, Nutshell Quotes & Invoices
One alternativeLoopio
no first choiceagainst: Better Proposals, Loopio, PandaDoc, Responsive
GPT-5.4 miniGetAccept, Responsive
Four alternativesConga Composer, DealHub, Oracle CPQ, Qwilr
Salesforce Revenue CloudChanged
Three alternativesDealHub, PandaDoc, Qwilr
Responsive
Six alternativesConga Composer, DealHub, GetAccept, Loopio, PandaDoc, Qwilr
against: Upland Qvidian
Proposify
Three alternativesLoopio, Responsive, Upland Qvidian
against: Qwilr
no first choicenothing named
Gemini 3.5 FlashResponsive
Five alternativesConga Composer, Loopio, PandaDoc, QorusDocs, Upland Qvidian
Conga Composer, Salesforce CPQ, Salesforce Revenue CloudChanged
Five alternativesDealHub, Oracle CPQ, PROS Smart CPQ, Responsive, Upland Qvidian
against: DocSend, PandaDoc
Loopio, Responsive
Seven alternativesArphie, AutoRFP.ai, PandaDoc, Proposify, QorusDocs, Upland Qvidian, XaitPorter
QorusDocs
Four alternativesConga Composer, PandaDoc, Responsive, XaitPorter
no first choiceagainst: Better Proposals, Bidsketch, Bonsai, GetAccept, Nusii, PandaDoc, Proposable, Proposify, Prospero, Qwilr
Perplexity SonarPandaDoc
Two alternativesConga Composer, Loopio
DealHubChanged
Four alternativesConga Composer, GetAccept, PandaDoc, Proposify
PandaDoc
Nine alternativesConga Composer, DealHub, Flowcase, GetAccept, Loopio, Proposify, QorusDocs, Qwilr, Responsive
Loopio
Two alternativesPandaDoc, Proposify
against: Nusii
no first choiceagainst: Better Proposals, Conga Composer, Prospero
Grok 4.20Responsive
Three alternativesLoopio, PandaDoc, Proposify
against: Qwilr
PandaDocChanged
Five alternativesConga Composer, Loopio, Proposify, Qwilr, Responsive
Loopio, Responsive
Four alternativesOracle CPQ, PandaDoc, Proposify, Qwilr
against: Ignition, Jotform Sign
Responsiveagainst: Conga Composer, GetAccept, Oracle CPQ, PandaDoc, Proposifyno first choiceagainst: ChatGPT, Claude, Gemini, Perplexity
Mistral SmallPandaDoc, Responsive
Two alternativesConga Composer, GetAccept
GetAccept, PandaDocChanged
One alternativeDealHub
PandaDoc
Five alternativesGetAccept, Loopio, Oracle CPQ, Qwilr, Responsive
DealHub, PandaDoc
Two alternativesConga Composer, GetAccept
no first choiceagainst: Conga CPQ, GetAccept, PandaDoc, Proposify, Qwilr
DeepSeek V4 FlashPandaDoc, Responsive
Three alternativesGetAccept, Loopio, Upland Qvidian
Conga CPQ, Salesforce Revenue CloudChanged
Four alternativesConga Composer, Oracle CPQ, PandaDoc, Responsive
no first choice
Ten alternativesGetAccept, Icertis, Loopio, Oracle CPQ, PandaDoc, Proposify, QorusDocs, Qwilr, Responsive, Salesforce CPQ
Loopio
Two alternativesInventive AI, Proposal Pilot
against: Better Proposals, Proposify
Responsive
Four alternativesConga Composer, Loopio, Oracle CPQ, PandaDoc
against: AutoRFP.ai, AutogenAI, Better Proposals, Bonsai, Concord, DeepRFP, Inventive AI, Loopio, PandaDoc, Proposify, Qwilr, Responsive, Sharepoint-based custom solutions, Upland Qvidian
Llama 4 MaverickPandaDoc
Three alternativesGetAccept, Proposify, Qwilr
no first choiceChangedno first choicePandaDocno first choiceagainst: PandaDoc, Proposify, Qwilr
Qwen 3.7 FlashUpland Qvidian
Five alternativesCommandAI, Conga Composer, PandaDoc, Proposify, Seismic
Salesforce CongaChanged
Three alternativesDealHub, Proqato, Quintance
PandaDoc, Responsive
Five alternativesConga Composer, Loopio, Proposify, Qwilr, Upland Qvidian
Aspire, Service Fusion
Three alternativesDealHub, GetAccept, Portal.io
against: PandaDoc, Proposify
no first choicenothing named
Kimi K2PandaDoc
Two alternativesConga Composer, Responsive
DealHub, Salesforce Revenue CloudChanged
Two alternativesConga CPQ, PandaDoc
PandaDoc
Eight alternativesClientPoint, Flowcase, GetAccept, Loopio, Oracle CPQ, Proposify, Qwilr, Responsive
PandaDoc
Two alternativesGetAccept, Proposal Pilot
no first choiceagainst: Better Proposals, Nusii, PandaDoc, Proposa, Proposify, Prospero, Qwilr
GLM 4.7 FlashXPandaDoc
Four alternativesDealHub, GetAccept, Responsive, Salesforce CPQ
Salesforce Revenue CloudChanged
Three alternativesActiveDocs, DealHub, PandaDoc
PandaDoc
Five alternativesOracle CPQ, Proposify, Qwilr, Responsive, XaitPorter
Loopio, Upland Qvidian
One alternativeQuoteWerks
against: AutoRFP.ai, PandaDoc, Proposify
no first choiceagainst: Better Proposals, GetAccept, HubSpot Commerce Hub, Microsoft Word, NinjaPropose, PandaDoc, Proposify, Standard cloud storage (SharePoint/Box) with manual sharing
MiniMax M2.5PandaDoc, Responsive
Three alternativesLoopio, Oracle CPQ, Proposify
PandaDoc, Salesforce CPQChanged
Four alternativesLoopio, Proposify, Qwilr, Responsive
Loopio, Responsive
Three alternativesConga Composer, PandaDoc, Upland Qvidian
QuoteWerks
Two alternativesLoopio, Responsive
against: Nusii
no first choiceagainst: Better Proposals, Loopio, Oracle CPQ, Proposify, Responsive
GPT-6 LunaDealHub
Three alternativesLoopio, PandaDoc, Responsive
Conga ComposerChanged
Two alternativesOracle CPQ, Salesforce Revenue Cloud
Responsive
Six alternativesConga Composer, Loopio, PandaDoc, Proposify, Qwilr, Upland Qvidian
PandaDoc
One alternativeLoopio
against: Proposify
no first choicenothing named
Muse Glimmer 30BPandaDoc
Two alternativesConga Composer, Responsive
PandaDocHeld
Three alternativesConga Composer, Oracle CPQ, Salesforce CPQ
PandaDoc
Seven alternativesConga Composer, GetAccept, Loopio, Proposify, QorusDocs, Responsive, Upland Qvidian
PandaDoc
Three alternativesAutoRFP.ai, Conga Composer, Responsive
no first choiceagainst: Better Proposals, HoneyBook, PandaDoc, Proposify, Qwilr
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

The record

One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
Eighty-four rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 10:52yes107 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 14:18yes46 s
Direct recommendationGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 13:27no016 s
Direct recommendationPerplexity Sonarsonar2026-11-01 17:34yes104 s
Direct recommendationGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 17:11yes511 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-11-01 15:23yes55 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 10:25yes2325 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 15:04yes53 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 09:50no025 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-11-01 15:50yes1439 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 14:27yes2357 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 16:19yes534 s
Direct recommendationGPT-6 Lunagpt-6-luna2026-11-01 11:32yes318 s
Direct recommendationMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 10:27yes1419 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 15:52yes1811 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 13:44yes25 s
ParaphraseGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 16:51no015 s
ParaphrasePerplexity Sonarsonar2026-11-01 15:17yes104 s
ParaphraseGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 17:35yes56 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-11-01 08:39yes54 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 12:53yes2424 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 14:09yes53 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 14:52no027 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-11-01 11:22yes1932 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 11:14yes2487 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 10:50no018 s
ParaphraseGPT-6 Lunagpt-6-luna2026-11-01 12:07yes312 s
ParaphraseMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 08:54yes1521 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 16:35yes910 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 13:51yes58 s
ComparativeGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 12:30yes626 s
ComparativePerplexity Sonarsonar2026-11-01 16:39yes107 s
ComparativeGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 17:00yes917 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-11-01 12:01yes1416 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 12:50yes2430 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 10:37yes52 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 10:38yes1439 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-11-01 10:04yes1543 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 12:52yes2580 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 09:45yes2039 s
ComparativeGPT-6 Lunagpt-6-luna2026-11-01 10:54yes716 s
ComparativeMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 15:05yes2434 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 09:45yes158 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 13:35yes36 s
Budget constrainedGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 11:05yes1127 s
Budget constrainedPerplexity Sonarsonar2026-11-01 15:44yes104 s
Budget constrainedGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 14:38yes2513 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-11-01 10:26yes55 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 10:55yes2224 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 11:34yes52 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 14:12yes20151 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-11-01 15:12yes916 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 09:44yes2469 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 11:10yes2254 s
Budget constrainedGPT-6 Lunagpt-6-luna2026-11-01 17:03yes316 s
Budget constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 14:52yes2128 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 13:57no06 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 12:31no08 s
Scale constrainedGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 15:04no021 s
Scale constrainedPerplexity Sonarsonar2026-11-01 09:06yes1011 s
Scale constrainedGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 13:39yes514 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-11-01 09:32no06 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 12:47yes2541 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 09:08yes53 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 13:15yes514 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-11-01 17:15yes1533 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 16:27yes24106 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 14:16yes1027 s
Scale constrainedGPT-6 Lunagpt-6-luna2026-11-01 12:46yes319 s
Scale constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 12:52yes1522 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 12:28yes189 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 15:12yes46 s
Negative framingGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 12:22yes1329 s
Negative framingPerplexity Sonarsonar2026-11-01 13:04yes104 s
Negative framingGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 14:00yes1415 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-11-01 09:23yes55 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 10:39yes2534 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 10:28yes53 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 17:33no020 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-11-01 08:58yes2435 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 13:54yes2360 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 14:20yes2040 s
Negative framingGPT-6 Lunagpt-6-luna2026-11-01 10:33yes315 s
Negative framingMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 08:53yes2427 s

Normalization in this category

Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.

ShowHide
Category-scoped readings
Conga read as Conga Composer
Conga (CPQ/Composer) read as Conga Composer
Conga (Conga Composer / Conga Sign) read as Conga Composer
Conga (Salesforce Cloud CPQ) read as Conga Composer
Conga (by ThomaSoft) read as Conga Composer
HubSpot read as HubSpot Commerce Hub
Unresolved, counted raw
ActiveDocs
ArXiv / Ombud
CommandAI (formerly Loopio)
GovCon
NinjaPropose
Nutshell Quotes & Invoices
Portal.io
Proposa
Proqato
Quintance
Quorpore
Rellayto
Salesforce Conga
Sharepoint-based custom solutions
Standard cloud storage (SharePoint/Box) with manual sharing
Tenderbolt
Discontinued, still offered
No shut-down product was recommended here.
← PIMCommissions →