Proposal software
Asked as “proposal software”, and as “sales proposal and quote document tool”, on behalf of a mid-market B2B company. 49 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
65%
Clear leader
65PandaDoc10Better Proposals08DealHub16others
65% of first choices, clear leader.
Since September 2026▲+18Since September 2026: 49% → 67%, +18 points. Past the 11-point floor: movement. Read over the models both editions asked.PandaDoc held the lead, +18 points on 49%, 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
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.This pageEnterprisePandaDoc19%Contested▼−5Since September 2026: 22% → 17%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →
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.This pageEnterprisePandaDoc19%Contested▼−5Since September 2026: 22% → 17%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01PandaDoc65%11%72endorsed leader▲+18Since September 2026: 49% → 67%, +18 points. Past the 11-point floor: movement. Read over the models both editions asked.49% → 67%
PandaDoc65%11%72endorsed leader▲+18Since September 2026: 49% → 67%, +18 points. Past the 11-point floor: movement. Read over the models both editions asked.49% → 67%02
Better Proposals10%14%35accepted challenger▲+5Since September 2026: 2% → 7%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 7%
Better Proposals10%14%35accepted challenger▲+5Since September 2026: 2% → 7%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 7%03
DealHub8%0%15accepted challenger▲+7Since September 2026: 2% → 10%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 10%
DealHub8%0%15accepted challenger▲+7Since September 2026: 2% → 10%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 10%04
Prospero6%0%14accepted challenger=heldSince September 2026: 4% → 5%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 5%
Prospero6%0%14accepted challenger=heldSince September 2026: 4% → 5%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 5%Show the five products at 0%, ordered by negative rate
06
Proposify0%15%59accepted challenger▼−13Since September 2026: 13% → 0%, −13 points. Past the 11-point floor: movement. Read over the models both editions asked.13% → 0%
Proposify0%15%59accepted challenger▼−13Since September 2026: 13% → 0%, −13 points. Past the 11-point floor: movement. Read over the models both editions asked.13% → 0%09
Loopio0%14%21accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
Loopio0%14%21accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%08
GetAccept0%7%14accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
GetAccept0%7%14accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%05
Qwilr0%6%47accepted challenger▼−4Since September 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 0%
Qwilr0%6%47accepted challenger▼−4Since September 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 0%07
Responsive0%5%19accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Responsive0%5%19accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
All six head-to-head pages: the top four products, each against each
One product takes 65% of first choices here, so the chart would put eight markers in one corner and one at the far edge. The two measurements it plots are columns in the standing above: share, and the negative label rate. Zero products carry a negative rate above 25% in this category.
What they warned about
Ten of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, Mistral Small, Qwen 3.7 Flash and MiniMax M2.5 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.
Proposify15%
9 of 59 labels negative · 9 of 14 models · 2 hard negative
“**Avoid Proposify** if you need contract management or have high proposal volume” Kimi K2, negative prompt
PandaDoc11%
8 of 72 labels negative · 8 of 14 models · 1 hard negative
“**Avoid PandaDoc** if mobile experience or complex editing is critical” Kimi K2, negative prompt
Bidsketch83%
5 of 6 labels negative · 5 of 14 models · 4 hard negative
“Often called out for not keeping up with modern design expectations, lacking polish in templates and UI.” Grok 4.1 Fast, negative prompt
Better Proposals14%
5 of 35 labels negative · 5 of 14 models · 2 hard negative
“**Why to avoid:** Users frequently complain that the software is "terrible" and "complicated."” GLM 4.7 FlashX, 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
75 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. 942 links across 180 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 · PandaDoc40 answers · 64 citations · 13 models
vendor site · Qwilr39 answers · 55 citations · 12 models
33 answers · 86 citations · 12 models
vendor site · Guideflow33 answers · 34 citations · 11 models
vendor site · GetAccept30 answers · 34 citations · 13 models
vendor site · Responsive28 answers · 36 citations · 12 models
vendor site · Proposify26 answers · 39 citations · 11 models
vendor site · Zapier19 answers · 19 citations · 9 models
vendor site · Monday.com18 answers · 19 citations · 8 models
vendor site · Albato18 answers · 18 citations · 11 models
vendor site · SiftHub15 answers · 16 citations · 8 models
vendor site · SourceForge14 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.
26 answers · 10 models
25 answers · 11 models
23 answers · 11 models
18 answers · 7 models
18 answers · 8 models
17 answers · 8 models
14 answers · 7 models
14 answers · 11 models
13 answers · 5 models
13 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 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 | 65% | 527 | 60,500 | 510 | 425,196 | $42,516 | 119 | 1 |
| Better Proposals betterproposals.io | 10% | 132 | 1,300 | 65 | 24,251 | 5 | 4 | |
| DealHub dealhub.io | 8% | 175 | 1,900 | 83 | 319,299 | $372 | 62 | |
| Prospero goprospero.com | 6% | 30 | 2,400 | 1,178 | 908 | 2 | ||
| Agiled agiled.app | 4% | 17 | 49,500 | 30,683 | 6,691 | |||
| Bonsai | 2% | 74,000 | 27,918 | |||||
| Proposable | 2% | 210 | 59,009 | |||||
| Jotform jotform.com | 2% | 59 | 246,000 | 1,308 | 1,677,836 | $1,619 | 100 | |
| Qwilr qwilr.com | 0% | 167 | 4,400 | 23 | 10,837 | 27 | ||
| Proposify proposify.com | 0% | 274 | 3,600 | 28 | 38,103 | 27 | 2 |
Google's top ten for the two searches hold 15 sites; 5 of them are among the sites the models cited here (getaccept.com, pandadoc.com, proposify.com, sifthub.io, zapier.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
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 a mid-market B2B company?”Paraphrase“Which sales proposal and quote document tool would you recommend to a mid-sized B2B company?”Comparative“What are the top proposal tools and how do they differ?”Budget-constrained“What is the best proposal software for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a proposal software. What should we look at?”Negative“Which proposal tools should I avoid or be cautious about?”
Claude Haiku 4.5PandaDocDealHubChangedno first choiceBetter Proposals, Prosperono first choicenothing named
Three alternatives
Loopio, Proposify, QwilrThree alternatives
PandaDoc, Proposify, QuoteWerksFive alternatives
Better Proposals, PandaDoc, Proposify, Qwilr, ResponsiveTwo alternatives
DocHipo, PandaDocGPT-5.4 miniPandaDocPandaDocHeldPandaDocagainst: Better ProposalsBetter Proposalsagainst: PandaDocno first choicenothing named
Two alternatives
Proposify, QwilrThree alternatives
DealHub, QuoteWerks, QwilrTwo alternatives
Proposify, QwilrOne alternative
ProposifyGemini 3.5 FlashPandaDocPandaDocHeldPandaDocProsperono first choiceagainst: Better Proposals, Loopio, PandaDoc, Proposify, Qwilr, Responsive
Five alternatives
DealHub, Loopio, Proposify, Qwilr, ResponsiveThree alternatives
GetAccept, Proposify, QwilrEight alternatives
AutoRFP, Better Proposals, GetAccept, Inventive AI, Loopio, Proposify, Qwilr, ResponsiveFour alternatives
Better Proposals, FreshProposals, PandaDoc, ProposablePerplexity SonarPandaDocPandaDocHeldPandaDoc, QwilrProposableno first choicenothing named
Four alternatives
GetAccept, Proposify, Qwilr, ResponsiveFour alternatives
DealHub, Proposable, Proposify, QwilrFour alternatives
Better Proposals, GetAccept, Ignition, ProposifyTwo alternatives
Agiled, Better ProposalsGrok 4.1 FastPandaDocPandaDocHeldPandaDocJotform, PandaDocPandaDocagainst: Bidsketch, Loopio, PandaDoc, Proposify, Upland Qvidian
Four alternatives
DealHub, GetAccept, Proposify, QwilrThree alternatives
DealHub, Proposify, QwilrFour alternatives
Better Proposals, GetAccept, Proposify, QwilrFour alternatives
Agiled, Better Proposals, Bonsai, ProsperoTwo alternatives
Proposify, ResponsiveMistral SmallPandaDocDealHub, PandaDocChangedPandaDocBetter Proposals, PandaDocno first choiceagainst: Better Proposals, Bidsketch, PandaDoc, Proposify
Two alternatives
Proposable, ProposifyTwo alternatives
Guideflow, QuoteWerksSix alternatives
Better Proposals, GetAccept, Nusii, Proposify, Prospero, QwilrDeepSeek V4 FlashPandaDocPandaDocHeldPandaDocagainst: Upland QvidianBonsaino first choiceagainst: Better Proposals, Proposify
Three alternatives
Loopio, Proposify, QwilrThree alternatives
DealHub, Proposify, QwilrSix alternatives
Better Proposals, Bonsai, Loopio, Proposify, Qwilr, ResponsiveThree alternatives
Agiled, PandaDoc, ProsperoLlama 4 MaverickPandaDocPandaDocHeldno first choicePandaDocno first choiceagainst: Bidsketch, PandaDoc, Proposify
Three alternatives
Proposify, Qwilr, ResponsiveTwo alternatives
DocSales, ProposifyTwo alternatives
Better Proposals, ProsperoQwen 3.7 FlashDealHub, PandaDocPandaDocChangedPandaDocPandaDocno first choiceagainst: Adobe Express, Canva, DocuShare, Dropbox Sign, HelloSign, Microsoft Word, Oracle NetSuite, PandaDoc, SAP CPQ, Salesforce CPQ
Two alternatives
GetAccept, ProposifyTwo alternatives
DealHub, ProposifyFive alternatives
Bonsai, Loopio, Proposify, Qwilr, ResponsiveThree alternatives
Better Proposals, Bonsai, Jotform ProposalsKimi K2PandaDocPandaDocHeldPandaDocAgiledno first choiceagainst: Loopio, PandaDoc, Proposify, Qwilr
Two alternatives
Loopio, QwilrThree alternatives
Proposify, QuoteWerks, QwilrFive alternatives
Better Proposals, Nusii, Proposify, Prospero, QwilrThree alternatives
Better Proposals, Bonsai, ProsperoFour alternatives
Loopio, PandaDoc, Proposify, QorusDocsGLM 4.7 FlashXPandaDocPandaDocHeldPandaDocPandaDocno first choiceagainst: Better Proposals, ConnectWise CPQ, Fynk, GetAccept, Proposify
Four alternatives
GetAccept, Loopio, Proposify, QwilrThree alternatives
Better Proposals, Proposify, QwilrSix alternatives
Better Proposals, Loopio, Nusii, Proposify, Qwilr, ResponsiveFour alternatives
Agiled, Better Proposals, Jotform, ProsperoMiniMax M2.5PandaDocDealHubChangedPandaDocagainst: BidsketchAgiledno first choicenothing named
Five alternatives
DealHub, GetAccept, Proposify, Qwilr, StorydocTwo alternatives
PandaDoc, ProposifyTwo alternatives
Proposify, QwilrFour alternatives
Better Proposals, PandaDoc, Prospero, Taskade GenesisGPT-6 LunaPandaDocPandaDocHeldPandaDocBetter Proposalsno first choiceagainst: Proposify, Qwilr
Two alternatives
Proposify, QwilrTwo alternatives
DealHub, QwilrFive alternatives
Better Proposals, GetAccept, Proposify, Qwilr, ResponsiveOne alternative
PandaDocMuse Glimmer 30BPandaDocPandaDocHeldPandaDocBetter Proposals, Prosperono first choiceagainst: Bidsketch, PandaDoc, Proposify
Four alternatives
Arphie, Proposable, Proposify, QwilrFour alternatives
DealHub, Proposify, QuoteWerks, QwilrSix alternatives
Better Proposals, Bidsketch, GetAccept, Proposify, Prospero, QwilrThree alternatives
Agiled, Jotform, PandaDocBold 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 11:32 | yes | 9 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:03 | yes | 4 | 6 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:13 | yes | 21 | 30 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 08:44 | yes | 20 | 2 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:13 | yes | 21 | 8 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:58 | yes | 5 | 3 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:14 | yes | 23 | 32 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:00 | yes | 5 | 1 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:45 | yes | 5 | 24 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:37 | yes | 10 | 12 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:10 | yes | 13 | 20 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:37 | yes | 11 | 32 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:22 | yes | 4 | 14 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:47 | yes | 13 | 23 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 13:40 | yes | 10 | 9 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:20 | yes | 2 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:50 | yes | 11 | 20 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 10:05 | yes | 20 | 4 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:09 | yes | 22 | 6 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:10 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:57 | yes | 20 | 23 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:59 | yes | 5 | 1 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:05 | yes | 10 | 43 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:30 | yes | 14 | 27 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:50 | yes | 14 | 52 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:05 | yes | 9 | 17 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 13:50 | yes | 4 | 14 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:20 | yes | 9 | 27 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:06 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 14:12 | yes | 3 | 6 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 14:06 | yes | 12 | 21 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 13:00 | yes | 17 | 4 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 14:12 | yes | 22 | 10 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:37 | yes | 8 | 7 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:14 | yes | 24 | 51 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:07 | yes | 5 | 1 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:33 | yes | 5 | 19 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:54 | yes | 18 | 26 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 13:36 | yes | 25 | 87 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:43 | yes | 7 | 18 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:38 | yes | 6 | 17 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:43 | yes | 14 | 21 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:13 | yes | 9 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 13:42 | yes | 4 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:26 | yes | 19 | 19 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 11:20 | yes | 17 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 13:19 | yes | 22 | 8 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:21 | yes | 5 | 2 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:38 | yes | 23 | 19 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:57 | yes | 5 | 1 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:12 | yes | 8 | 21 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:19 | yes | 15 | 22 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:04 | yes | 10 | 42 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:03 | yes | 13 | 19 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:43 | yes | 2 | 15 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:31 | yes | 12 | 20 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:00 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 14:03 | no | 0 | 6 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:51 | no | 0 | 14 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 12:17 | yes | 18 | 6 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:51 | yes | 15 | 14 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 14:02 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:35 | yes | 18 | 47 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:19 | yes | 5 | 1 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:36 | no | 0 | 34 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:43 | yes | 10 | 17 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 13:45 | yes | 15 | 23 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:30 | no | 0 | 10 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:19 | yes | 1 | 12 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:30 | yes | 15 | 31 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 13:59 | no | 0 | 2 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:59 | no | 0 | 4 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:08 | yes | 16 | 28 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 13:14 | yes | 18 | 3 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 13:20 | yes | 23 | 7 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:25 | yes | 5 | 3 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:38 | yes | 24 | 28 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:44 | yes | 10 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:09 | no | 0 | 28 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 13:01 | yes | 24 | 22 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:35 | yes | 24 | 120 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:54 | yes | 20 | 34 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:47 | yes | 1 | 8 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:26 | yes | 22 | 25 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
SAP read as SAP CPQ
Unresolved, counted raw
BasicDocs
DocSales
DocuShare
FreshProposals
Fynk
Google Docs/Microsoft Word
Jotform Proposals
Qume (formerly ProposalFlow)
Revver (formerly eFileCabinet)
Venngage AI Proposal Generator
Xodo Sign
Discontinued, still offered
No shut-down product was recommended here.