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RFP response software · October 2026 Edition

Loopio vs 1up

Ten of fourteen models named Loopio first on the direct prompt; zero named 1up. Loopio was named by fourteen of the fourteen models and 1up by eight and Loopio carries 56 labels and 1up 11, so the shares are not directly comparable.

Loopio

accepted challenger

Named in three categories this edition.

1up

accepted challenger

Named in one category this edition.

First-choice share25%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate16%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#7A position in a field of 10; printed, not drawn.
Labels5611A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Loopio reading right to left. Rank and label count are printed, not drawn.Responsive was named alongside these two in ten of the fourteen direct answers. Loopio vs PandaDoc · Loopio vs Responsive · Loopio vs DeepRFP

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.
LoopioFirst choices, of fourteen models1up
Direct100
Paraphrase10
Comparative70
Budget-constrained013 against Loopio
Scale-constrained301 against Loopio
Negative305 against Loopio
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.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Loopio and 1up stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
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
Loopio 1up first choice named as an alternative argued againstblank: not namedEach cell is one answer, Loopio on the left and 1up on the right.

The direct prompt

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

Loopio first, 1up not the choice

10 of 14 models1up was named in the answer but not as the choice, or not at all.
GPT-5.4 miniLoopio alternatives: Responsive
Perplexity SonarLoopio alternatives: Responsive
Mistral SmallLoopio, Responsive alternatives: Expedience Proposal Software, Proposify
DeepSeek V4 FlashLoopio alternatives: AutoRFP.ai, Proposify, QorusDocs, Responsive
Qwen 3.7 FlashAutoRFP.ai, Loopio alternatives: Qwilr, Upland Qvidian
Kimi K2Loopio alternatives: AutoRFP.ai, PandaDoc, Responsive
GLM 4.7 FlashXLoopio alternatives: Responsive, Upland Qvidian
MiniMax M2.5Loopio, Responsive alternatives: SiftHub, Upland Qvidian
GPT-6 LunaLoopio alternatives: Responsive
Muse Glimmer 30BLoopio alternatives: AutoRFP.ai, Responsive

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Tribble alternatives: AutoRFP.ai, Loopio, Steerlab
Gemini 3.5 FlashTribble alternatives: AutoRFP.ai, Loopio, Steerlab
Grok 4.1 FastResponsive alternatives: Loopio

Neither was named

1 of 14 modelsThe answer made no first choice from these two in this category.
Llama 4 MaverickExpedience Proposal Software alternatives: AutoRFP.ai, Conveyor

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
Loopio leads by two points.
Loopio4%#6 of 14
1up2%#9 of 14
The full small business standing →
Mid-marketThe figures above
Loopio leads by twenty-three points.
Loopio25%#1 of 10
1up2%#7 of 10
The full mid-market standing →
Enterprise
1up is not named for this buyer.
Loopio13%#2 of 8
1up—not named
The full enterprise standing →

What the models said about Loopio

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

“Loopio specifically called out as "not AI-native"—built in 2014 with AI added around 2021” Kimi K2 · negative prompt · hard negative
“The answers Magic populates are surface-level at best, and the feature fails to generate responses for complex RFP requirements and often needs a lot of manual editing.” Claude Haiku 4.5 · negative prompt · soft negative
“Full-blown enterprise RFP suites (like Loopio or Responsive) typically start at $10,000–$20,000+ per year, which is out of reach” DeepSeek V4 Flash · budget prompt · soft negative
“Best for structured proposal teams with dedicated content managers who need a strong content library, easier content reuse, and reliable customer support.” Claude Haiku 4.5 · comparative prompt · first choice
“Widely regarded as the most intuitive interface with the lowest learning curve. Teams can often be onboarded in days rather than months.” Qwen 3.7 Flash · comparative prompt · first choice
“mainstream platforms (like Responsive/RFPIO, Loopio, or AI-first startups like 1up.ai or Tribble) are ideal” Gemini 3.5 Flash · scale prompt · first choice

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.

“Best budget-friendly pick: 1up” GPT-6 Luna · budget prompt · first choice
“Prioritize tools like Loopio, Responsive, or AI-native ones (e.g., 1up, AutoRFP.ai) with proven traceability.” Grok 4.1 Fast · negative prompt · alternative
“1up or AutoRFP.ai if you want lightweight AI assistance without a heavy admin burden.” Perplexity Sonar · budget prompt · alternative
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.