RFP response software for small business buyers
Asked as “RFP response software”, and as “proposal management software”, on behalf of a small B2B company. 53 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each. Added to the November 2026 Edition.
Standing · first-choice share
30%
Contested · 1up 17%
30PandaDoc171up11Breeze Docs42others
30% of first choices, contested.
Since October 2026▼−3Since October 2026: 33% → 30%, −3 points. Inside the 11-point floor: within noise.PandaDoc held the lead, −3 points on 33%, 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
PandaDoc30%Contested▼−3Since October 2026: 33% → 30%, −3 points. Inside the 11-point floor: within noise.This pageMid-market
Loopio31%Contested▲+6Since October 2026: 25% → 31%, +6 points. Inside the 11-point floor: within noise.Standing →Enterprise
Responsive60%Clear leader=heldSince October 2026: 60% → 60%, ±0 points. Inside the 11-point floor: within noise.Standing →
PandaDoc30%Contested▼−3Since October 2026: 33% → 30%, −3 points. Inside the 11-point floor: within noise.This pageMid-marketLoopio31%Contested▲+6Since October 2026: 25% → 31%, +6 points. Inside the 11-point floor: within noise.Standing →EnterpriseResponsive60%Clear leader=heldSince October 2026: 60% → 60%, ±0 points. Inside the 11-point floor: within noise.Standing →The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026
01PandaDoc30%16%31endorsed leader▼−3Since October 2026: 33% → 30%, −3 points. Inside the 11-point floor: within noise.33% → 30%
PandaDoc30%16%31endorsed leader▼−3Since October 2026: 33% → 30%, −3 points. Inside the 11-point floor: within noise.33% → 30%02
1up17%8%25accepted challenger▲+15Since October 2026: 2% → 17%, +15 points. Past the 11-point floor: movement.2% → 17%
1up17%8%25accepted challenger▲+15Since October 2026: 2% → 17%, +15 points. Past the 11-point floor: movement.2% → 17%03
DeepRFP11%4%27accepted challenger▼−5Since October 2026: 16% → 11%, −5 points. Inside the 11-point floor: within noise.16% → 11%
DeepRFP11%4%27accepted challenger▼−5Since October 2026: 16% → 11%, −5 points. Inside the 11-point floor: within noise.16% → 11%04
Breeze Docs11%0%15accepted challenger▲+7Since October 2026: 4% → 11%, +7 points. Inside the 11-point floor: within noise.4% → 11%
Breeze Docs11%0%15accepted challenger▲+7Since October 2026: 4% → 11%, +7 points. Inside the 11-point floor: within noise.4% → 11%05Loopio9%49%59criticized challenger▲+5Since October 2026: 4% → 9%, +5 points. Inside the 11-point floor: within noise.4% → 9%
Loopio9%49%59criticized challenger▲+5Since October 2026: 4% → 9%, +5 points. Inside the 11-point floor: within noise.4% → 9%06
AutoRFP.ai2%19%21accepted challenger▼−2Since October 2026: 4% → 2%, −2 points. Inside the 11-point floor: within noise.4% → 2%
AutoRFP.ai2%19%21accepted challenger▼−2Since October 2026: 4% → 2%, −2 points. Inside the 11-point floor: within noise.4% → 2%07
Better Proposals2%11%18accepted challenger=heldSince October 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise.2% → 2%
Better Proposals2%11%18accepted challenger=heldSince October 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise.2% → 2%08Responsive2%58%45criticized challenger▼−2Since October 2026: 4% → 2%, −2 points. Inside the 11-point floor: within noise.4% → 2%
Responsive2%58%45criticized challenger▼−2Since October 2026: 4% → 2%, −2 points. Inside the 11-point floor: within noise.4% → 2%Show the four products at 0%, ordered by negative rate
12
Upland Qvidian0%75%16criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Upland Qvidian0%75%16criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%10
Proposify0%16%19accepted challenger▼−4Since October 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise.4% → 0%
Proposify0%16%19accepted challenger▼−4Since October 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise.4% → 0%11
Inventive AI0%8%13accepted challenger▼−4Since October 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise.4% → 0%
Inventive AI0%8%13accepted challenger▼−4Since October 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise.4% → 0%09
Qwilr0%0%14accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Qwilr0%0%14accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.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 can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
For buyers
Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not small business.
All twenty-one head-to-head pages: the top seven products, each against each
Loopio vs DeepRFPLoopio vs AutoRFP.aiLoopio vs ProposifyPandaDoc vs ResponsivePandaDoc vs 1upPandaDoc vs DeepRFPPandaDoc vs AutoRFP.aiPandaDoc vs ProposifyResponsive vs 1upResponsive vs DeepRFPResponsive vs AutoRFP.aiResponsive vs Proposify1up vs DeepRFP1up vs AutoRFP.ai1up vs ProposifyDeepRFP vs AutoRFP.aiDeepRFP vs ProposifyAutoRFP.ai vs Proposify
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 →
010203040506070809101112Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01PandaDoc30%
PandaDoc30%021up17%
1up17%03DeepRFP11%
DeepRFP11%04Breeze Docs11%
Breeze Docs11%05Loopio9%
Loopio9%06AutoRFP.ai2%
AutoRFP.ai2%07Better Proposals2%
Better Proposals2%08Responsive2%
Responsive2%09Qwilr0%
Qwilr0%10Proposify0%
Proposify0%11Inventive AI0%
Inventive AI0%12Upland Qvidian0%
Upland Qvidian0%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, 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.
Loopio49%
29 of 59 labels negative · 14 of 14 models · 8 hard negative
“Enterprise-Grade Platforms (Loopio, Responsive, Qvidian, Ombud) ... Be very cautious — these are often overkill for SMBs.” DeepSeek V4 Flash, negative prompt
Responsive58%
26 of 45 labels negative · 11 of 14 models · 7 hard negative
“Enterprise-Grade Platforms (Loopio, Responsive, Qvidian, Ombud) ... Be very cautious — these are often overkill for SMBs.” DeepSeek V4 Flash, negative prompt
Upland Qvidian75%
12 of 16 labels negative · 9 of 14 models · 4 hard negative
“Highly Technical, Enterprise-Focused Platforms Examples: Qvidian, Oracle CPQ ... a small business should avoid or approach with extreme caution” Qwen 3.7 Flash, negative prompt
PandaDoc16%
5 of 31 labels negative · 5 of 14 models · 3 hard negative
“Proposal Tools Misused as RFP Tools (e.g., Proposify, PandaDoc, Storyflow, or Notion for Libraries) ... Why cautious/avoid” Grok 4.20, 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
79 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. 851 links across 158 sites, every framing counted. Ranked by the number of answers carrying the site or page. 14 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 · Responsive42 answers · 65 citations · 14 models
vendor site · Software Advice36 answers · 55 citations · 10 models
vendor site · DeepRFP32 answers · 36 citations · 11 models
30 answers · 46 citations · 12 models
vendor site · Capterra27 answers · 42 citations · 12 models
vendor site · Breeze Docs26 answers · 42 citations · 10 models
vendor site · GetApp23 answers · 29 citations · 9 models
vendor site · Loopio19 answers · 29 citations · 8 models
vendor site · SiftHub19 answers · 20 citations · 9 models
17 answers · 17 citations · 7 models
vendor site · Inventive16 answers · 21 citations · 10 models
16 answers · 16 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.
24 answers · 9 models
22 answers · 9 models
17 answers · 9 models
17 answers · 8 models
16 answers · 8 models
16 answers · 6 models
15 answers · 7 models
15 answers · 7 models
15 answers · 9 models
15 answers · 10 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 rfp response software”, “rfp response 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 | 30% | 538 | 60,500 | 510 | 425,196 | $42,516 | 119 | |
| Breeze breezedocs.ai Breeze Docs 11%, BreezeDocs.ai 4%, Breeze 4% | 19% | 19 | ||||||
| 1up 1up.ai | 17% | 56 | 18,100 | 3,797 | 10,732 | $293 | 22 | |
| DeepRFP deeprfp.com | 11% | 42 | 170 | 0 | 677 | |||
| Loopio loopio.com | 9% | 250 | 3,600 | 80 | 4,640 | 26 | ||
| AutoRFP.ai autorfp.ai | 2% | 81 | 70 | 0 | 38,771 | 2 | 2 | |
| Better Proposals betterproposals.io | 2% | 124 | 1,300 | 65 | 24,251 | 5 | ||
| Bonsai hellobonsai.com | 2% | 38 | 74,000 | 27,918 | ||||
| eBuyerAssist Platform | 2% | |||||||
| RFP Response Builder | 2% |
Google's top ten for the two searches hold 13 sites; 3 of them are among the sites the models cited here (inventive.ai, responsive.io, sifthub.io). The first result for “best rfp response software” is kantiv.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 RFP response software for a small B2B company?”Paraphrase“Which proposal management software would you recommend to a small business that sells to other businesses?”Comparative“What are the top RFP response tools for a small team and how do they differ?”Budget-constrained“What is the best RFP response software for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a RFP response software. What should we look at?”Negative“Which RFP response tools should a small business avoid or be cautious about?”
Claude Haiku 4.5ResponsiveBetter ProposalsChangedAutoRFP.ai, Inventive AIagainst: LoopioPowerRFPno first choiceagainst: 1up, Arphie, AutoRFP.ai, Loopio, Responsive
Three alternatives
AutoRFP.ai, DeepRFP, Inventive AIThree alternatives
GetAccept, PandaDoc, PlutioTwo alternatives
1up, DeepRFPFive alternatives
AutoRFP.ai, AutogenAI, DeepRFP, Inventive AI, TribbleGPT-5.4 miniLoopioPandaDocChangedLoopioagainst: Upland QvidianPandaDoc, RFP Response Builderagainst: Loopio, Responsiveno first choicenothing named
Three alternatives
Inventive AI, Iris, ResponsiveFive alternatives
Better Proposals, GetAccept, Ignition, Proposify, QwilrTwo alternatives
Responsive, TribbleGemini 3.5 Flash1upPandaDocChanged1up, AutoRFP.ai1up, AutoRFP.aiagainst: Loopio, Responsiveno first choiceagainst: Loopio, Responsiveagainst: Better Proposals, Coupa Sourcing, Loopio, Ombud, PandaDoc, Proposify, Responsive, SAP Ariba, Upland Qvidian, Workday
Five alternatives
Arphie, AutoRFP.ai, Loopio, Proposify, QwilrFour alternatives
Better Proposals, HubSpot Sales Hub, Proposify, QwilrSix alternatives
DeepRFP, Loopio, PandaDoc, Proposify, QorusDocs, ResponsiveSix alternatives
Better Proposals, ChatGPT, Claude, DeepRFP, Prospero, SteerlabTwo alternatives
AutoRFP.ai, HyperComplyPerplexity SonarDeepRFPagainst: Better Proposals, ResponsivePandaDocChangedagainst: DealHub, Loopio, Upland QvidianLoopioagainst: Responsive, Upland QvidianDeepRFPagainst: Loopio, Responsiveno first choiceagainst: 1up, Drata, Guru, Highspot, Loopio, Ombud, Responsive, Seismic, Upland Qvidian, Vanta
Three alternatives
Iris, Loopio, SteerlabFour alternatives
Better Proposals, GetAccept, Proposify, QwilrFive alternatives
Arphie, AutoRFP.ai, DeepRFP, Inventive AI, PandaDocThree alternatives
1up, Cobl, RFP Response BuilderGrok 4.20Breeze Docsagainst: Coupa, Ivalua, SAP AribaPandaDocChangedagainst: Loopio, Responsive1upagainst: Responsive, Upland QvidianPandaDocagainst: Loopio, QorusDocs, ResponsiveLoopioagainst: Responsiveagainst: ChatGPT, Claude, Loopio, Notion, Ombud, PandaDoc, Proposify, Responsive, Storyflow, Upland Qvidian
Two alternatives
Loopio, ResponsiveFour alternatives
Bonsai, HoneyBook, Proposify, QwilrFour alternatives
AutoRFP.ai, Loopio, Presel, RFP.aiThree alternatives
1up, Breeze Docs, RFP.aiThree alternatives
Breeze Docs, PandaDoc, QwilrMistral SmallBreezeDocs.ai, LoopioPandaDocChangedLoopio1up, eBuyerAssist Platformno first choiceagainst: Loopio, Upland Qvidian
Two alternatives
Responsive, SteerlabOne alternative
ProposifyFour alternatives
1up, DeepRFP, RFP.ai, ResponsiveTwo alternatives
DeepRFP, RFP.aiDeepSeek V4 Flash1up, Breeze Docsagainst: Loopio, ResponsivePandaDocChanged1up, Breeze Docs, DeepRFPagainst: ResponsiveBreeze Docsagainst: Loopio, RespondsBreezeagainst: Loopio, Responsiveagainst: Loopio, Ombud, Responsive, Upland Qvidian
Three alternatives
Better Proposals, Proposify, QwilrTwo alternatives
Loopio, RFP.aiTwo alternatives
PandaDoc, Proposal ConnectThree alternatives
Arphie, RFP360, ScoutRFPLlama 4 Maverickno first choiceno first choiceHeldno first choiceBreeze Docsno first choiceagainst: Loopio, Responsive
Four alternatives
1up, DeepRFP, Presel, RFP.aiQwen 3.7 FlashBreezeDocs.aiPandaDocChangedLoopioagainst: Responsive1upagainst: Loopio, ResponsiveLoopioagainst: Asana, Loopio, Oracle CPQ, Trello, Upland Qvidian
Two alternatives
Loopio, ResponsiveThree alternatives
Better Proposals, Proposify, QwilrTwo alternatives
GoRFP, Respondents.ioThree alternatives
Breeze Docs, DeepRFP, RFP.aiThree alternatives
Better Proposals, Catapult, Inventive AIKimi K2DeepRFP, PandaDocBonsai, PandaDocChangedDeepRFP, PandaDocagainst: LoopioPandaDocagainst: AutoRFP.ai, Loopio, Responsiveno first choiceagainst: AutoRFP.ai, ChatGPT, DeepRFP, Inventive AI, Loopio, PandaDoc, Responsive, Upland Qvidian
Three alternatives
Better Proposals, Breeze Docs, LoopioTwo alternatives
Proposify, QwilrTwo alternatives
AutoRFP.ai, ResponsiveFour alternatives
DeepRFP, Google Docs + Templates, Proposal Kit, SmartDocs for Microsoft WordFour alternatives
1up, AutoRFP.ai, DeepRFP, LoopioGLM 4.7 FlashX1up, Breeze DocsPandaDocChangedLoopioagainst: eBuyerAssist Platform1upagainst: Loopio, PandaDocno first choicenothing named
Four alternatives
Better Proposals, DeepRFP, Loopio, ResponsiveFive alternatives
Better Proposals, FreshBooks, Plutio, Proposify, QwilrTwo alternatives
Breeze Docs, ResponsiveTwo alternatives
Better Proposals, PreselMiniMax M2.5BreezePandaDocChangedLoopioagainst: Responsive1upno first choiceagainst: Loopio
Three alternatives
DeepRFP, Loopio, ResponsiveThree alternatives
Bonsai, Proposify, QwilrFour alternatives
Better Proposals, DeepRFP, Inventive AI, PandaDocTwo alternatives
SmartDocs, eBuyerAssist PlatformGPT-6 Luna1upagainst: AutoRFP.aiPandaDocChanged1upDeepRFPagainst: Loopiono first choiceagainst: Loopio
One alternative
LoopioOne alternative
ProposifyFour alternatives
AutoRFP.ai, DeepRFP, Loopio, ResponsiveTwo alternatives
1up, Breeze DocsMuse Glimmer 30BDeepRFPagainst: Loopio, ResponsivePandaDocChangedLoopio, ResponsiveBreeze Docs, DeepRFPLoopioagainst: Loopio, Notion, PandaDoc, Proposify, Responsive, Storyflow, Upland Qvidian
Two alternatives
PandaDoc, ProposifyTwo alternatives
Better Proposals, ProposifyThree alternatives
Bidsketch, BreezeDocs.ai, QwilrBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:20 | yes | 10 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:55 | yes | 2 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 13:47 | yes | 9 | 15 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 17:12 | yes | 10 | 5 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 15:39 | yes | 5 | 8 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:38 | yes | 5 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 15:39 | yes | 24 | 22 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 17:07 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 08:42 | yes | 5 | 19 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 12:15 | yes | 9 | 23 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 09:14 | yes | 12 | 32 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 14:52 | yes | 10 | 29 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 15:09 | yes | 3 | 14 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 13:08 | yes | 13 | 20 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 13:19 | yes | 10 | 7 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 15:23 | yes | 4 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 17:00 | no | 0 | 13 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 10:28 | yes | 10 | 3 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 17:25 | yes | 5 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 13:40 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 15:39 | yes | 15 | 22 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:29 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:47 | yes | 5 | 19 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 13:33 | yes | 15 | 27 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:00 | yes | 24 | 80 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:51 | yes | 9 | 34 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:53 | yes | 2 | 11 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:52 | yes | 24 | 24 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:00 | yes | 16 | 10 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 14:33 | yes | 4 | 7 s |
| Comparative | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:17 | yes | 9 | 22 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 15:25 | yes | 10 | 5 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 14:35 | yes | 5 | 13 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 14:23 | yes | 5 | 6 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:52 | yes | 21 | 47 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 08:46 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 08:33 | no | 0 | 28 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:54 | yes | 20 | 25 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 09:08 | yes | 23 | 179 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 14:51 | yes | 20 | 54 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:18 | yes | 5 | 25 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 12:01 | yes | 23 | 34 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 15:43 | yes | 10 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:07 | yes | 3 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 15:24 | yes | 8 | 16 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 12:07 | yes | 10 | 3 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 14:49 | yes | 17 | 14 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:41 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:21 | yes | 23 | 19 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 15:48 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:56 | yes | 5 | 34 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 17:16 | yes | 23 | 40 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 09:24 | yes | 21 | 114 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 13:52 | yes | 10 | 40 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 13:07 | yes | 4 | 17 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 14:30 | yes | 20 | 27 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 09:08 | no | 0 | 5 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:01 | yes | 2 | 7 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 17:04 | no | 0 | 18 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 13:43 | yes | 10 | 5 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 14:44 | yes | 5 | 14 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:01 | no | 0 | 4 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:06 | yes | 25 | 45 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 14:39 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:28 | yes | 5 | 25 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:31 | yes | 15 | 47 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 09:02 | yes | 10 | 40 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 14:50 | yes | 5 | 25 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:58 | yes | 4 | 17 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:56 | yes | 11 | 27 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 17:05 | yes | 18 | 10 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 13:11 | yes | 4 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 13:07 | yes | 9 | 25 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 09:06 | yes | 10 | 5 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 14:36 | yes | 10 | 12 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 16:05 | yes | 5 | 7 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 15:07 | yes | 22 | 26 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:16 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:59 | yes | 10 | 52 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:14 | yes | 24 | 58 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 16:46 | yes | 23 | 51 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:27 | yes | 10 | 39 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 15:32 | yes | 5 | 19 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 17:16 | yes | 14 | 23 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
1up.ai read as 1up
AutoRFP read as AutoRFP.ai
Inventive read as Inventive AI
Unresolved, counted raw
Coupa Sourcing
GoRFP
Google Docs + Templates
Google Docs/Drive
Google Docs/Microsoft Word
HyperComply
Market Dojo
Precoro
Proposal Connect
Proposal Kit
Respondents.io
Responds (formerly RFPIO)
ScoutRFP
SmartDocs for Microsoft Word
SpendFlo RFP Response Template
Tribble.ai
Discontinued, still offered
No shut-down product was recommended here.