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RFP response software · November 2026 Edition

1up vs DeepRFP

Zero of fourteen models named 1up first on the direct prompt; zero named DeepRFP. 1up was named by eleven of the fourteen models and DeepRFP by ten and 1up carries 21 labels and DeepRFP 13, so the shares are not directly comparable.

1up

accepted challenger

Named in one category this edition.

DeepRFP

accepted challenger

Named in one category this edition.

First-choice share7%6%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%8%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#5A position in a field of 11; printed, not drawn.
Labels2113A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, 1up reading right to left. Rank and label count are printed, not drawn.Loopio was named alongside these two in thirteen of the fourteen direct answers. Loopio vs 1up · Loopio vs DeepRFP · PandaDoc vs 1up

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; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the RFP response software page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
1upFirst choices, of fourteen modelsDeepRFP
Direct00
Paraphrase00
Comparative00
Budget-constrained431 against DeepRFP
Scale-constrained00
Negative10
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the November 2026 Edition, 1up and DeepRFP were named in the same answer twenty-one times, of the 56 answers naming 1up and the 42 naming DeepRFP. In those answers DeepRFP took the first choice four times and 1up eight.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where 1up and DeepRFP stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
1up DeepRFP first choice named as an alternative argued againstblank: not namedEach cell is one answer, 1up on the left and DeepRFP on the right.

The direct prompt

The plain question, one answer per model, grouped by where 1up and DeepRFP stood in it.

Neither was named

14 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Loopio, Steerlab alternatives: AutoRFP.ai, SiftHub
GPT-5.4 miniLoopio alternatives: Responsive, Upland Qvidian
Gemini 3.5 FlashLoopio alternatives: AutoRFP.ai, Inventive AI, QorusDocs, Responsive
Perplexity SonarLoopio alternatives: RequestFX, Responsive, Steerlab
Grok 4.20Loopio alternatives: PandaDoc, Proposify, Qwilr, Responsive
Mistral SmallLoopio alternatives: Responsive, Upland Qvidian
DeepSeek V4 FlashLoopio, Responsive alternatives: PandaDoc
Llama 4 Maverickno first choice
Qwen 3.7 FlashLoopio alternatives: CQ Core, Responsive, Upland Qvidian
Kimi K2Loopio, Responsive alternatives: PandaDoc
GLM 4.7 FlashXLoopio, Responsive alternatives: Better Proposals, eBuyerAssist Platform
MiniMax M2.5Responsive alternatives: Loopio, PandaDoc
GPT-6 LunaLoopio alternatives: Responsive
Muse Glimmer 30BLoopio, Responsive alternatives: Upland Qvidian

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
1up leads by six points.
1up17%#2 of 12
DeepRFP11%#3 of 12
The full small business standing →
Mid-marketThe figures above
1up leads by two points.
1up7%#4 of 11
DeepRFP6%#5 of 11
The full mid-market standing →
Enterprise
Level: the same share of first choices.
1up0%#9 of 10
DeepRFP0%#– of 10
The full enterprise standing →

What the models said about 1up

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“Offers a free plan and a 14-day trial, making it a great choice for budget-conscious teams... ranked as the top RFP response software in 2026 for value for money” Mistral Small · budget prompt · first choice
“Stick to tools specifically designed for RFP workflows, such as Loopio, Qvidian, or Arphie/1up” Mistral Small · negative prompt · first choice
“1up if you want a completely free option to start” MiniMax M2.5 · budget prompt · first choice

What the models said about DeepRFP

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.

“another low-cost option mentioned for freelancers and very small teams, though I'd verify fit carefully before buying” GPT-5.4 mini · budget prompt · soft negative
“The best RFP response software for a company with a limited budget is DeepRFP, as it is a cheaper entry for small teams” Llama 4 Maverick · budget prompt · first choice
“Built specifically for small business owners and lean proposal teams who don't want complex enterprise setups” Gemini 3.5 Flash · budget prompt · first choice
“Tightest budget + need AI help: Start with DeepRFP's free trial.” Kimi K2 · budget prompt · first choice
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.