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Proposal software · September 2026 Edition

Loopio vs Bonsai

Zero of twelve models named Loopio first on the direct prompt; zero named Bonsai. Loopio was named by nine of the twelve models and Bonsai by seven and Loopio carries 18 labels and Bonsai 11, so the shares are not directly comparable.

Loopio

accepted challenger

Named in one category this edition.

Bonsai

accepted challenger

Named in one category this edition.

First-choice share2%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate11%9%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#7A position in a field of 10; printed, not drawn.
Labels1811A 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.Proposify was named alongside these two in eleven of the twelve direct answers. PandaDoc vs Loopio · PandaDoc vs Bonsai · Proposify vs Loopio

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 proposal software page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
LoopioFirst choices, of twelve modelsBonsai
Direct001 against Loopio
Paraphrase00
Comparative00
Budget-constrained011 against Bonsai
Scale-constrained10
Negative001 against Loopio
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Loopio and Bonsai 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
Loopio Bonsai first choice named as an alternative argued againstblank: not namedEach cell is one answer, Loopio on the left and Bonsai on the right.

The direct prompt

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

Neither was the first choice, one was named

4 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashPandaDoc alternatives: GetAccept, Loopio, Proposify, Qwilr, SiftHub, Trumpet
DeepSeek V4 FlashPandaDoc alternatives: DealHub, Loopio, Proposify, Qwilr
Llama 4 MaverickProposify alternatives: Loopio, PandaDoc, Qwilr
Qwen 3.7 FlashPandaDoc alternatives: Loopio, Proposify, Qwilr

Neither was named

8 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5PandaDoc alternatives: ClientPoint, DealHub, Proposable
GPT-5.4 miniProposify alternatives: Better Proposals, Quoter
Perplexity SonarPandaDoc alternatives: Proposify
Grok 4.1 FastPandaDoc alternatives: GetAccept, Proposify
Mistral SmallPandaDoc alternatives: GetAccept, Proposify, Qwilr
Kimi K2PandaDoc, Qwilr alternatives: Proposify
GLM 4.7 FlashXProposify, Qwilr alternatives: PandaDoc
MiniMax M2.5PandaDoc alternatives: Proposify, Qwilr

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
Bonsai leads by four points.
Bonsai4%#4 of 10
Loopio0%#10 of 10
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Loopio2%#6 of 10
Bonsai2%#7 of 10
The full mid-market standing →
Enterprise
The order flips: Loopio leads at enterprise.
Loopio4%#6 of 10
Bonsai0%#– of 10
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. Five of six in this category shown.

“Choose Loopio only if RFPs are central to your sales process — it's overkill for standard proposals.” Kimi K2 · direct prompt · soft negative
“notoriously expensive ($$$) and require weeks of training and configuration” Qwen 3.7 Flash · negative prompt · soft negative
“Loopio is often recommended for mid-market teams (50–300 RFPs/year), priced around $25K–$75K/year” DeepSeek V4 Flash · scale prompt · first choice
“invest in Enterprise Response Management systems like Responsive (formerly RFPIO) or Loopio” Gemini 3.5 Flash · negative prompt · alternative
“If you answer security questionnaires or complex RFPs, go with SiftHub or Loopio.” Gemini 3.5 Flash · comparative prompt · alternative

What the models said about Bonsai

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

“Note: Proposals are not the primary focus” GLM 4.7 FlashX · budget prompt · soft negative
“Start with Proposally.ai or Bonsai for the absolute lowest cost with full features” Grok 4.1 Fast · budget prompt · first choice
“Bonsai (freelancers) or Better Proposals (small teams) offer the best bang for the buck” DeepSeek V4 Flash · budget prompt · alternative
“avoid enterprise tools and consider Bonsai, Nusii, or Propal trial instead” Llama 4 Maverick · negative 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.