RFP response software for enterprise buyers
Asked as “RFP response software”, and as “proposal management software”, on behalf of an enterprise B2B company. 50 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each. Added to the November 2026 Edition.
Standing · first-choice share
60%
Clear leader
60Responsive16AutoRFP.ai12Loopio12others
60% of first choices, clear leader.
Since October 2026=heldSince October 2026: 60% → 60%, ±0 points. Inside the 11-point floor: within noise.Responsive held the lead, ±0 points on 60%, 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.Standing →Mid-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.This page
PandaDoc30%Contested▼−3Since October 2026: 33% → 30%, −3 points. Inside the 11-point floor: within noise.Standing →Mid-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.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 October 2026
01Responsive60%13%71endorsed leader=heldSince October 2026: 60% → 60%, ±0 points. Inside the 11-point floor: within noise.60% → 60%
Responsive60%13%71endorsed leader=heldSince October 2026: 60% → 60%, ±0 points. Inside the 11-point floor: within noise.60% → 60%02
AutoRFP.ai16%9%34accepted challenger▲+6Since October 2026: 10% → 16%, +6 points. Inside the 11-point floor: within noise.10% → 16%
AutoRFP.ai16%9%34accepted challenger▲+6Since October 2026: 10% → 16%, +6 points. Inside the 11-point floor: within noise.10% → 16%03Loopio12%12%69accepted challenger▼−1Since October 2026: 13% → 12%, −1 point. Inside the 11-point floor: within noise.13% → 12%
Loopio12%12%69accepted challenger▼−1Since October 2026: 13% → 12%, −1 point. Inside the 11-point floor: within noise.13% → 12%04
RocketDocs6%18%11accepted challenger▲+6Since October 2026: 0% → 6%, +6 points. Inside the 11-point floor: within noise.0% → 6%
RocketDocs6%18%11accepted challenger▲+6Since October 2026: 0% → 6%, +6 points. Inside the 11-point floor: within noise.0% → 6%05PandaDoc4%44%27criticized challenger▲+2Since October 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise.2% → 4%
PandaDoc4%44%27criticized challenger▲+2Since October 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise.2% → 4%06
Upland Qvidian2%22%46accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%
Upland Qvidian2%22%46accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%Show the four products at 0%, ordered by negative rate
10
Inventive AI0%39%18criticized challenger▼−8Since October 2026: 8% → 0%, −8 points. Inside the 11-point floor: within noise.8% → 0%
Inventive AI0%39%18criticized challenger▼−8Since October 2026: 8% → 0%, −8 points. Inside the 11-point floor: within noise.8% → 0%
08
Arphie0%18%11accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Arphie0%18%11accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%07
AutogenAI0%8%13accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
AutogenAI0%8%13accepted 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 enterprise.
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
One product takes 60% of first choices here, so the chart would put nine 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. Three products carry a negative rate above 25% in this category.
What they warned about
Eight of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick 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.
PandaDoc44%
12 of 27 labels negative · 10 of 14 models · 8 hard negative
“PandaDoc or Proposify fit sales proposals rather than complex questionnaires." ... "PandaDoc at 2% 69% criticized challenger” Muse Glimmer 30B, negative prompt
Loopio12%
8 of 69 labels negative · 8 of 14 models · 1 hard negative
“Avoid: Loopio, Responsive, and PandaDoc for this use case” Kimi K2, budget prompt
Upland Qvidian22%
10 of 46 labels negative · 8 of 14 models · 1 hard negative
“not a good fit for enterprise proposal teams handling complex, multi-document RFPs.” Llama 4 Maverick, negative prompt
Proposify78%
7 of 9 labels negative · 7 of 14 models · 6 hard negative
“Proposify and PandaDoc are proposal tools rather than RFP tools and the difference matters." ... "Limited for large enterprise RFP workflows” 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
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. 921 links across 183 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 · Responsive49 answers · 84 citations · 14 models
vendor site · Loopio33 answers · 48 citations · 14 models
vendor site · AutoRFP.ai29 answers · 46 citations · 12 models
vendor site · Capterra28 answers · 37 citations · 9 models
vendor site · Software Advice27 answers · 34 citations · 10 models
vendor site · SiftHub26 answers · 28 citations · 10 models
22 answers · 33 citations · 11 models
vendor site · GetApp22 answers · 28 citations · 8 models
18 answers · 31 citations · 8 models
vendor site · AutogenAI18 answers · 19 citations · 8 models
vendor site · Inventive17 answers · 24 citations · 9 models
vendor site · Arphie17 answers · 22 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.
19 answers · 9 models
17 answers · 8 models
16 answers · 8 models
16 answers · 7 models
15 answers · 9 models
13 answers · 7 models
13 answers · 8 models
11 answers · 7 models
11 answers · 5 models
11 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 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 |
|---|---|---|---|---|---|---|---|---|
| Responsive responsive.io | 60% | 232 | 12,100 | 210,141 | 37,620 | 16 | 5 | |
| AutoRFP.ai autorfp.ai | 16% | 81 | 70 | 0 | 38,771 | 2 | 2 | |
| Loopio loopio.com | 12% | 250 | 3,600 | 80 | 4,640 | 26 | ||
| RocketDocs rocketdocs.com | 6% | 16 | ||||||
| PandaDoc pandadoc.com | 4% | 538 | 60,500 | 510 | 425,196 | $42,516 | 119 | |
| Upland Qvidian uplandsoftware.com | 2% | 106 | 40 | 1 | 67,149 | $1,203 | 26 | |
| AutogenAI autogenai.com | 0% | 29 | 320 | 6 | 444 | 1 | ||
| QorusDocs qorusdocs.com | 0% | 30 | ||||||
| Arphie arphie.ai | 0% | 26 | 320 | 0 | 9,807 | 13 | ||
| RFP Software rfp-software.com | 0% | 5 |
Google's top ten for the two searches hold 13 sites; 4 of them are among the sites the models cited here (autorfp.ai, 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 an enterprise B2B company?”Paraphrase“Which proposal management software would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade RFP response tools and how do they differ?”Budget-constrained“What is the best RFP response 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 RFP response software. What should we look at?”Negative“Which RFP response tools should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5Loopio, ResponsiveResponsiveChangedLoopioAutoRFP.aiagainst: Loopio, Responsiveno first choiceagainst: 1up, Inventive AI, Joist AI, Responsive, Sweetspot
Two alternatives
AutoRFP.ai, Upland QvidianThree alternatives
Conga, Loopio, PandaDocSix alternatives
Arphie, AutogenAI, Responsive, SiftHub, Thalamus AI, Upland QvidianOne alternative
Inventive AIGPT-5.4 miniResponsiveLoopio, ResponsiveChangedResponsiveagainst: AutoRFP.ai, AutogenAI, Inventive AI, QorusDocs, RocketDocs, Upland QvidianResponsiveno first choicenothing named
Two alternatives
Loopio, Upland QvidianTwo alternatives
QorusDocs, Upland QvidianOne alternative
LoopioOne alternative
LoopioGemini 3.5 FlashResponsiveResponsiveHeldResponsiveAutoRFP.aiagainst: Loopiono first choiceagainst: Guru, Highspot, Notion AI, PandaDoc, Proposify, Qwilr, Seismic
Six alternatives
Arphie, AutoRFP.ai, Loopio, QorusDocs, Tribble, Upland QvidianFour alternatives
Conga Composer, Loopio, QorusDocs, Upland QvidianFive alternatives
Arphie, AutoRFP.ai, Loopio, QorusDocs, Upland QvidianFive alternatives
1up, Expedience Software, Inventive AI, QorusDocs, ResponsivePerplexity SonarResponsiveResponsiveHeldagainst: ProposifyResponsiveagainst: Arphie, AutoRFP.ai, Inventive AI, PandaDocAutoRFP.aino first choiceagainst: Loopio, Responsive, Upland Qvidian
Four alternatives
Arphie, AutoRFP.ai, Loopio, Upland QvidianThree alternatives
DocuSign CLM, Loopio, PandaDocThree alternatives
Loopio, RocketDocs, Upland QvidianTwo alternatives
Inventive AI, ResponsiveGrok 4.20Responsiveagainst: PandaDoc, SmartDocs, Upland QvidianResponsiveHeldagainst: DocuSign, Proposify, QwilrLoopio, Responsiveagainst: 1upResponsiveno first choiceagainst: ChatGPT, Claude, Loopio, Ombud, RFP360, Responsive, Upland Qvidian
Two alternatives
1up, LoopioFour alternatives
GetAccept, Loopio, PandaDoc, Upland QvidianThree alternatives
Inventive AI, RocketDocs, Upland QvidianTwo alternatives
Loopio, RFP SoftwareMistral SmallAutoRFP.ai, ResponsivePandaDocChangedResponsive, Upland QvidianLoopiono first choiceagainst: PandaDoc, Proposify, Responsive
Two alternatives
Loopio, Upland QvidianFour alternatives
AutogenAI, GetAccept, Loopio, ResponsiveTwo alternatives
AutoRFP.ai, LoopioTwo alternatives
AutoRFP.ai, ResponsiveDeepSeek V4 FlashLoopio, Responsiveagainst: PandaDoc, Upland QvidianPandaDocChangedResponsiveagainst: Inventive AIResponsiveagainst: DeepRFP, RFP.coLoopio, Responsiveagainst: ChatGPT, Claude, Gemini
Two alternatives
AutoRFP.ai, RocketDocsThree alternatives
Loopio, Responsive, Upland QvidianFour alternatives
AutoRFP.ai, AutogenAI, Loopio, Upland QvidianThree alternatives
Arphie, AutoRFP.ai, LoopioTwo alternatives
AutoRFP.ai, RFP SoftwareLlama 4 MaverickResponsiveno first choiceChangedno first choiceAutoRFP.aino first choiceagainst: PandaDoc, Proposify, Responsive, Upland Qvidian
Three alternatives
AutoRFP.ai, Loopio, VisibleThreadFour alternatives
Loopio, Responsive, SiftHub, Upland QvidianQwen 3.7 FlashResponsiveResponsiveHeldResponsive, Upland QvidianRocketDocsagainst: Loopio, Upland Qvidianno first choiceagainst: Conga, Highspot, Ironclad, PandaDoc, Qvilidian, Responsive, Seismic, Upland Qvidian
Three alternatives
1up, Expedience Proposal Software, LoopioTwo alternatives
DealHub, LoopioThree alternatives
1up, Arphie, LoopioOne alternative
AutoRFP.aiKimi K2Responsiveagainst: PandaDocResponsiveHeldResponsiveRocketDocsagainst: Loopio, PandaDoc, Responsive, Upland Qvidian, WinturaLoopio, Responsive, RocketDocsagainst: Inventive AIagainst: ChatGPT, Claude, Responsive, RocketDocs
Two alternatives
Loopio, Upland QvidianFour alternatives
Conga, Loopio, PandaDoc, Upland QvidianThree alternatives
Loopio, PandaDoc, Upland QvidianTwo alternatives
AutoRFP.ai, Inventive AIGLM 4.7 FlashXResponsiveResponsiveHeldagainst: HoneyBook, PandaDocAutoRFP.aiAutoRFP.aino first choiceagainst: PandaDoc, Proposify, Qwilr, Storyflow
Four alternatives
AutoRFP.ai, Loopio, PandaDoc, Upland QvidianThree alternatives
ClientPoint, QuoteWerks, XaitPorterFour alternatives
Loopio, PandaDoc, Responsive, Upland QvidianThree alternatives
Loopio, Responsive, Upland QvidianMiniMax M2.5ResponsiveResponsiveHeldResponsiveAutoRFP.aino first choicenothing named
Three alternatives
Expedience Proposal Software, Loopio, RFP SoftwareThree alternatives
Loopio, Oracle CPQ, PandaDocFive alternatives
1up, Loopio, PandaDoc, QorusDocs, Upland QvidianThree alternatives
RFP Software, Responsive, Upland QvidianGPT-6 LunaResponsiveResponsiveHeldResponsiveagainst: ArphieAutoRFP.aiagainst: Loopiono first choiceagainst: 1up, AutoRFP.ai, Inventive AI, Upland Qvidian
Two alternatives
Loopio, Upland QvidianTwo alternatives
Loopio, Upland QvidianFour alternatives
AutogenAI, Loopio, RocketDocs, Upland QvidianOne alternative
ResponsiveMuse Glimmer 30BResponsiveUpland QvidianChangedResponsiveResponsiveagainst: Loopiono first choiceagainst: Inventive AI, Notion, PandaDoc, Proposify, Storyflow
Three alternatives
AutoRFP.ai, Loopio, Upland QvidianFour alternatives
Loopio, PandaDoc, QorusDocs, ResponsiveSix alternatives
1up, AutoRFP.ai, Inventive AI, Loopio, RocketDocs, Upland QvidianOne alternative
AutoRFP.aiBold 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 15:08 | yes | 17 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:42 | yes | 2 | 4 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 12:02 | yes | 13 | 21 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 16:55 | yes | 10 | 4 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 15:47 | yes | 14 | 14 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:24 | yes | 5 | 6 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 15:00 | yes | 25 | 36 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 15:45 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 15:26 | yes | 5 | 17 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 13:26 | yes | 14 | 33 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:19 | yes | 12 | 28 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 08:50 | yes | 14 | 31 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:52 | yes | 3 | 21 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:14 | yes | 14 | 21 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 15:58 | yes | 10 | 9 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 13:41 | yes | 4 | 8 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 10:29 | no | 0 | 15 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 08:49 | yes | 10 | 4 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:43 | yes | 5 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:55 | yes | 5 | 10 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 08:49 | yes | 24 | 27 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 15:34 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:42 | yes | 10 | 66 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 13:15 | yes | 20 | 30 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 13:03 | yes | 20 | 103 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 14:53 | yes | 10 | 37 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 17:19 | yes | 4 | 15 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 16:58 | yes | 23 | 34 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:03 | yes | 9 | 11 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:44 | yes | 4 | 8 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 15:12 | yes | 11 | 23 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 12:55 | yes | 10 | 6 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 14:00 | yes | 5 | 13 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 17:04 | yes | 25 | 16 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 17:03 | yes | 24 | 47 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 13:27 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 17:30 | yes | 12 | 56 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:58 | yes | 19 | 79 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:12 | yes | 24 | 58 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 16:18 | yes | 15 | 52 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:32 | yes | 6 | 27 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 12:31 | yes | 13 | 23 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 14:12 | yes | 17 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 17:25 | yes | 4 | 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 09:57 | yes | 12 | 26 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 14:09 | yes | 10 | 4 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 14:42 | yes | 15 | 12 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 15:09 | yes | 5 | 5 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 09:05 | yes | 23 | 27 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 15:11 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:21 | yes | 10 | 58 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 08:56 | yes | 22 | 33 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:13 | yes | 19 | 24 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 14:51 | yes | 5 | 20 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:36 | yes | 2 | 19 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:32 | yes | 22 | 26 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 17:04 | no | 0 | 7 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:23 | yes | 0 | 8 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 14:07 | no | 0 | 20 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 16:18 | yes | 10 | 9 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 14:36 | yes | 5 | 12 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:24 | no | 0 | 13 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 09:44 | yes | 23 | 32 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 14:10 | yes | 5 | 4 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 15:39 | no | 0 | 34 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:18 | yes | 22 | 83 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 15:05 | yes | 14 | 34 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 14:06 | no | 0 | 20 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:48 | yes | 4 | 22 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 16:30 | yes | 13 | 29 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:27 | yes | 16 | 11 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:59 | yes | 4 | 7 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 14:32 | yes | 12 | 26 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 15:11 | yes | 10 | 5 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 14:37 | yes | 10 | 14 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 15:11 | yes | 5 | 6 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 08:56 | yes | 25 | 32 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 14:46 | yes | 5 | 4 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:27 | yes | 10 | 47 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:23 | yes | 25 | 31 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:44 | yes | 22 | 63 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:41 | no | 0 | 31 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:43 | yes | 2 | 19 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 15:09 | yes | 23 | 37 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
AutoRFP read as AutoRFP.ai
Inventive read as Inventive AI
Unresolved, counted raw
Hey
Iternal
Joist AI
LiveText
Qvilidian
RFP.co
RFP360.AI
Salesforce
Sweetspot
Wintura
Discontinued, still offered
No shut-down product was recommended here.