RFP response software
Asked as “RFP response software”, and as “proposal management software”, on behalf of a mid-market B2B company. 54 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each. Added to the November 2026 Edition.
Standing · first-choice share
31%
Contested · PandaDoc 20%
31Loopio20PandaDoc11Responsive37others
31% of first choices, contested.
Since October 2026▲+6Since October 2026: 25% → 31%, +6 points. Inside the 11-point floor: within noise.Loopio held the lead, +6 points on 25%, 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.This pageEnterprise
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.Standing →Mid-marketLoopio31%Contested▲+6Since October 2026: 25% → 31%, +6 points. Inside the 11-point floor: within noise.This pageEnterpriseResponsive60%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 mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026
01Loopio31%20%64endorsed leader▲+6Since October 2026: 25% → 31%, +6 points. Inside the 11-point floor: within noise.25% → 31%
Loopio31%20%64endorsed leader▲+6Since October 2026: 25% → 31%, +6 points. Inside the 11-point floor: within noise.25% → 31%02PandaDoc20%26%35criticized challenger▲+4Since October 2026: 16% → 20%, +4 points. Inside the 11-point floor: within noise.16% → 20%
PandaDoc20%26%35criticized challenger▲+4Since October 2026: 16% → 20%, +4 points. Inside the 11-point floor: within noise.16% → 20%03Responsive11%28%60criticized challenger▼−3Since October 2026: 14% → 11%, −3 points. Inside the 11-point floor: within noise.14% → 11%
Responsive11%28%60criticized challenger▼−3Since October 2026: 14% → 11%, −3 points. Inside the 11-point floor: within noise.14% → 11%04
1up7%0%21accepted challenger▲+5Since October 2026: 2% → 7%, +5 points. Inside the 11-point floor: within noise.2% → 7%
1up7%0%21accepted challenger▲+5Since October 2026: 2% → 7%, +5 points. Inside the 11-point floor: within noise.2% → 7%05
DeepRFP6%8%13accepted challenger▼−1Since October 2026: 7% → 6%, −1 point. Inside the 11-point floor: within noise.7% → 6%
DeepRFP6%8%13accepted challenger▼−1Since October 2026: 7% → 6%, −1 point. Inside the 11-point floor: within noise.7% → 6%06
AutoRFP.ai2%19%21accepted challenger=heldSince October 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise.2% → 2%
AutoRFP.ai2%19%21accepted challenger=heldSince October 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise.2% → 2%07
Proposify2%30%27criticized challenger▼−3Since October 2026: 5% → 2%, −3 points. Inside the 11-point floor: within noise.5% → 2%
Proposify2%30%27criticized challenger▼−3Since October 2026: 5% → 2%, −3 points. Inside the 11-point floor: within noise.5% → 2%Show the four products at 0%, ordered by negative rate
10
Upland Qvidian0%26%27criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Upland Qvidian0%26%27criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%09
Qwilr0%8%13accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise.2% → 0%
Qwilr0%8%13accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise.2% → 0%08
Inventive AI0%7%15accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Inventive AI0%7%15accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%11
AutogenAI0%0%10accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
AutogenAI0%0%10accepted 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.
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 →
0102030405060708091011Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Loopio31%
Loopio31%02PandaDoc20%
PandaDoc20%03Responsive11%
Responsive11%041up7%
1up7%05DeepRFP6%
DeepRFP6%06AutoRFP.ai2%
AutoRFP.ai2%07Proposify2%
Proposify2%08Inventive AI0%
Inventive AI0%09Qwilr0%
Qwilr0%10Upland Qvidian0%
Upland Qvidian0%11AutogenAI0%
AutogenAI0%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.
Responsive28%
17 of 60 labels negative · 13 of 14 models · 6 hard negative
“Responsive (formerly RFPIO) - Multiple users report: Complicated UI with non-intuitive features - Steep learning curve (71+ mentions on G2)” GLM 4.7 FlashX, negative prompt
Loopio20%
13 of 64 labels negative · 10 of 14 models · 5 hard negative
“What to Avoid ... Loopio ... often require custom quotes typically ranging from $15,000 to $25,000+ per year” Qwen 3.7 Flash, budget prompt
PandaDoc26%
9 of 35 labels negative · 9 of 14 models · 2 hard negative
“primarily sales proposal tools and are not designed for the specific workflows and compliance needs of RFP responses” Mistral Small, negative prompt
Proposify30%
8 of 27 labels negative · 7 of 14 models · 2 hard negative
“Tools like Proposify and PandaDoc are primarily designed for general proposal creation and lack the specialized features required for RFP response management” 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. 818 links across 174 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 · Software Advice37 answers · 55 citations · 10 models
vendor site · Capterra34 answers · 46 citations · 11 models
vendor site · Responsive30 answers · 47 citations · 13 models
vendor site · GetApp24 answers · 36 citations · 10 models
23 answers · 44 citations · 11 models
18 answers · 18 citations · 9 models
vendor site · Loopio15 answers · 26 citations · 9 models
15 answers · 16 citations · 9 models
vendor site · Arphie14 answers · 23 citations · 9 models
vendor site · DeepRFP14 answers · 17 citations · 10 models
vendor site · RocketDocs14 answers · 16 citations · 10 models
vendor site · Guideflow13 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.
29 answers · 10 models
16 answers · 9 models
15 answers · 9 models
12 answers · 7 models
12 answers · 9 models
11 answers · 6 models
10 answers · 7 models
10 answers · 10 models
9 answers · 9 models
9 answers · 6 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 |
|---|---|---|---|---|---|---|---|---|
| Loopio loopio.com | 31% | 250 | 3,600 | 80 | 4,640 | 26 | ||
| PandaDoc pandadoc.com | 20% | 538 | 60,500 | 510 | 425,196 | $42,516 | 119 | |
| Responsive responsive.io | 11% | 232 | 12,100 | 210,141 | 37,620 | 16 | 5 | |
| 1up 1up.ai | 7% | 56 | 18,100 | 3,797 | 10,732 | $293 | 22 | |
| PowerRFP powerrfp.com | 7% | 7 | 10 | 0 | 79 | 2 | ||
| DeepRFP deeprfp.com | 6% | 42 | 170 | 0 | 677 | |||
| Presel presel.ai | 4% | 14 | ||||||
| AutoRFP.ai autorfp.ai | 2% | 81 | 70 | 0 | 38,771 | 2 | 2 | |
| RFP.ai | 2% | |||||||
| Proposify proposify.com | 2% | 259 | 3,600 | 28 | 38,103 | 27 |
Google's top ten for the two searches hold 13 sites; 1 of them are among the sites the models cited here (responsive.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 mid-market B2B company?”Paraphrase“Which proposal management software would you recommend to a mid-sized B2B company?”Comparative“What are the top RFP response tools and how do they differ?”Budget-constrained“What is the best RFP response software for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a RFP response software. What should we look at?”Negative“Which RFP response tools should I avoid or be cautious about?”
Claude Haiku 4.5Loopio, SteerlabProposifyChangedno first choicePowerRFPagainst: Responsiveno first choicenothing named
Two alternatives
AutoRFP.ai, SiftHubThree alternatives
GetAccept, PandaDoc, QwilrFour alternatives
AutoRFP.ai, BreezeDocs, DeepRFP, Inventive AIGPT-5.4 miniLoopioPandaDocChangedLoopio, Responsiveagainst: PandaDocConveyor, RFP Response Builderagainst: DeepRFP, Loopio, Responsiveno first choicenothing named
Two alternatives
Responsive, Upland QvidianThree alternatives
Loopio, Qwilr, ResponsiveSeven alternatives
AutoRFP.ai, AutogenAI, Inventive AI, QorusDocs, SiftHub, Tribble, Upland QvidianOne alternative
BreezeDocsGemini 3.5 FlashLoopioPandaDocChangedLoopio, ResponsiveAutoRFP.ai, DeepRFPagainst: Loopio, Responsiveno first choicenothing named
Four alternatives
AutoRFP.ai, Inventive AI, QorusDocs, ResponsiveThree alternatives
Loopio, Proposify, QwilrSix alternatives
1up, Arphie, AutoRFP.ai, GovDash, Hey Iris, Upland QvidianSeven alternatives
1up, ChatGPT, Claude, Gemini, Inventive AI, PandaDoc, ProposifyPerplexity SonarLoopioagainst: AutoRFP.aiPandaDocChangedLoopio, Responsiveagainst: PandaDoc, Proposify, QwilrPowerRFPagainst: AutoRFP.ai, Loopio, Responsive, Upland Qvidianno first choicenothing named
Three alternatives
RequestFX, Responsive, SteerlabFour alternatives
GetAccept, Loopio, Proposify, QwilrFive alternatives
1up, Arphie, AutoRFP.ai, Inventive AI, Upland QvidianOne alternative
Breeze DocsGrok 4.20LoopioLoopio, PandaDocChangedagainst: ResponsiveLoopio, ResponsivePreselagainst: AutoRFP.ai, Loopio, ResponsiveLoopioagainst: Privia, Upland Qvidianagainst: Anthropic, ChatGPT, Google
Four alternatives
PandaDoc, Proposify, Qwilr, ResponsiveThree alternatives
Oneflow, Proposify, QwilrFour alternatives
1up, AutoRFP.ai, Inventive AI, Upland QvidianTwo alternatives
1up, RFP.aiTwo alternatives
1up, ResponsiveMistral SmallLoopioLoopio, PandaDocChangedno first choice1upno first choiceagainst: PandaDoc, Proposify, Responsive, Storyflow
Two alternatives
Responsive, Upland QvidianTwo alternatives
Oneflow, ResponsiveTwo alternatives
Breeze Docs, PreselDeepSeek V4 FlashLoopio, Responsiveagainst: Better Proposals, ProposifyPandaDocChangedResponsiveagainst: PandaDoc, ProposifyPowerRFP, SmartDocsagainst: Loopio, Responsive (formerly RFPIO) — Lite Tierno first choiceagainst: AutoRFP.ai, ClearOPS, FindRFP.com, Inventive AI, Loopio, Responsive, RocketDocs
One alternative
PandaDocFour alternatives
Better Proposals, Loopio, Proposify, QwilrSix alternatives
AutoRFP.ai, Loopio, QorusDocs, RFP.ai, RocketDocs, Upland QvidianTwo alternatives
eBuyerAssist Platform, iQuoteXpressLlama 4 Maverickno first choiceno first choiceHeldno first choiceDeepRFPno first choiceagainst: ChatGPT, Claude, PandaDoc, Proposify, Responsive, Upland Qvidian
Three alternatives
1up, Presel, RFP.aiQwen 3.7 FlashLoopioResponsiveChangedLoopio, Responsive1upagainst: Loopio, Responsive, Upland Qvidianno first choiceagainst: Google Drive, PandaDoc, Proposify, Responsive, SharePoint
Three alternatives
CQ Core, Responsive, Upland QvidianTwo alternatives
Loopio, PandaDocFive alternatives
Conveyor, Inventive AI, RFP.ai, SparrowGenie, Upland QvidianFour alternatives
Arphie, AutoRFP.ai, DeepRFP, PreselKimi K2Loopio, ResponsivePandaDocChangedLoopio, ResponsiveDeepRFPagainst: Loopio, Responsive, Upland QvidianLoopioagainst: PandaDocagainst: Google Drive, Loopio, Responsive, Upland Qvidian
One alternative
PandaDocThree alternatives
Loopio, Proposify, QwilrFive alternatives
1up, AutogenAI, DeepRFP, PandaDoc, RFP.aiFour alternatives
Better Proposals, PandaDoc, PowerRFP, SmartDocsThree alternatives
AutoRFP.ai, Responsive, Upland QvidianGLM 4.7 FlashXLoopio, ResponsivePandaDocChangedLoopioPowerRFPno first choiceagainst: Responsive
Two alternatives
Better Proposals, eBuyerAssist PlatformFour alternatives
Loopio, Oneflow, Proposify, ResponsiveThree alternatives
PandaDoc, QorusDocs, ResponsiveThree alternatives
DeepRFP, Tradogram, eBuyerAssist PlatformMiniMax M2.5ResponsiveLoopio, PandaDocChangedno first choice1upno first choiceagainst: FindRFP.com, Loopio, PandaDoc, Proposify, Responsive, Storyflow
Two alternatives
Loopio, PandaDocThree alternatives
Expedience Proposal Software, Oneflow, QuoteWerksTwo alternatives
Better Proposals, DeepRFPGPT-6 LunaLoopioPandaDocChangedLoopio, ResponsiveRFP.aiagainst: Loopiono first choiceagainst: Loopio
One alternative
ResponsiveThree alternatives
Proposify, Qwilr, ResponsiveFour alternatives
Arphie, Conveyor, Inventive AI, Upland QvidianTwo alternatives
1up, DeepRFPMuse Glimmer 30BLoopio, ResponsivePandaDocChangedLoopio1up, Preselagainst: Loopio, Responsive, Upland Qvidianno first choiceagainst: PandaDoc, Proposify, Responsive, Storyflow
One alternative
Upland QvidianFour alternatives
GetAccept, Loopio, Proposify, QwilrSix alternatives
1up, AutoRFP.ai, Inventive AI, RFP.ai, Responsive, Upland QvidianThree alternatives
RFP.ai, SmartDocs, eBuyerAssist PlatformBold 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 17:34 | yes | 10 | 9 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:36 | 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 10:25 | yes | 9 | 16 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 16:50 | yes | 10 | 5 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 17:23 | yes | 14 | 13 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 16:55 | yes | 5 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 14:15 | yes | 10 | 18 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 13:27 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 08:40 | no | 0 | 30 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:56 | yes | 12 | 34 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 17:29 | yes | 13 | 123 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 16:20 | yes | 5 | 23 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 13:25 | yes | 2 | 16 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 13:09 | yes | 14 | 20 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:53 | yes | 9 | 8 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:05 | 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 16:47 | no | 0 | 12 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 10:41 | yes | 10 | 4 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 17:34 | yes | 5 | 7 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 14:03 | yes | 5 | 5 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 17:06 | yes | 21 | 33 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 17:30 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:22 | yes | 13 | 37 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 13:49 | yes | 20 | 57 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:08 | yes | 13 | 16 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:56 | yes | 5 | 29 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:50 | yes | 4 | 11 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:33 | yes | 18 | 28 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 13:46 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:25 | yes | 5 | 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 12:14 | yes | 9 | 24 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 11:38 | yes | 10 | 5 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 16:28 | yes | 5 | 11 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 17:28 | yes | 5 | 6 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:35 | yes | 24 | 37 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:50 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:59 | yes | 5 | 16 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 16:18 | yes | 10 | 22 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 14:56 | yes | 19 | 31 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 14:57 | yes | 5 | 13 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 14:29 | yes | 6 | 20 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:47 | yes | 14 | 24 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:32 | yes | 10 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:26 | 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 16:31 | yes | 5 | 18 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 13:27 | yes | 10 | 3 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 16:56 | yes | 23 | 29 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:54 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 16:06 | yes | 23 | 36 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 16:14 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:13 | yes | 10 | 24 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:31 | yes | 14 | 40 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 15:00 | yes | 19 | 61 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 15:48 | yes | 5 | 18 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 08:56 | yes | 3 | 14 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 16:13 | yes | 10 | 17 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 15:47 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 17:17 | no | 0 | 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 08:47 | no | 0 | 17 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 10:26 | yes | 10 | 6 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 16:45 | yes | 10 | 15 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:12 | no | 0 | 6 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:35 | yes | 24 | 45 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:47 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 08:39 | yes | 5 | 20 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 13:58 | yes | 13 | 22 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 17:13 | yes | 24 | 48 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 15:52 | yes | 19 | 72 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 13:28 | yes | 4 | 23 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:21 | yes | 15 | 17 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 16:54 | no | 0 | 2 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:11 | no | 0 | 4 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 10:48 | yes | 7 | 17 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 10:37 | yes | 10 | 4 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 16:56 | yes | 10 | 8 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:23 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:44 | yes | 25 | 28 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:59 | yes | 9 | 5 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:41 | yes | 5 | 15 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:42 | yes | 23 | 75 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:14 | yes | 24 | 45 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 16:00 | yes | 25 | 54 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 15:35 | yes | 2 | 18 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 14:13 | yes | 24 | 31 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
Inventive read as Inventive AI
Unresolved, counted raw
Archer RFP
BidScript
CQ Core
Civio AI
ClearOPS
Fastbreak
Google
Hey Iris
Om\u508d
ProcurementExpress
RequestFX
Responsive (formerly RFPIO) — Lite Tier
Tradogram
VisibleThread Docs
Discontinued, still offered
No shut-down product was recommended here.