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Proposal software · September 2026 Edition

DealHub vs Bonsai

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

DealHub

accepted challenger

Named in six categories 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 rate6%9%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#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, DealHub 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 DealHub · PandaDoc vs Bonsai · Proposify vs DealHub

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.
DealHubFirst choices, of twelve modelsBonsai
Direct00
Paraphrase10
Comparative00
Budget-constrained011 against Bonsai
Scale-constrained001 against DealHub
Negative00
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 DealHub 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
DealHub Bonsai first choice named as an alternative argued againstblank: not namedEach cell is one answer, DealHub on the left and Bonsai on the right.

The direct prompt

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

Neither was the first choice, one was named

2 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5PandaDoc alternatives: ClientPoint, DealHub, Proposable
DeepSeek V4 FlashPandaDoc alternatives: DealHub, Loopio, Proposify, Qwilr

Neither was named

10 of 12 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniProposify alternatives: Better Proposals, Quoter
Gemini 3.5 FlashPandaDoc alternatives: GetAccept, Loopio, Proposify, Qwilr, SiftHub, Trumpet
Perplexity SonarPandaDoc alternatives: Proposify
Grok 4.1 FastPandaDoc alternatives: GetAccept, Proposify
Mistral SmallPandaDoc alternatives: GetAccept, Proposify, Qwilr
Llama 4 MaverickProposify alternatives: Loopio, PandaDoc, Qwilr
Qwen 3.7 FlashPandaDoc alternatives: Loopio, 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
DealHub0%#– of 10
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
DealHub2%#5 of 10
Bonsai2%#7 of 10
The full mid-market standing →
Enterprise
The order flips: DealHub leads at enterprise.
DealHub11%#3 of 10
Bonsai0%#– of 10
The full enterprise standing →

What the models said about DealHub

No label in this category carried a quote.

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
PandaDoc vs DealHubPandaDoc vs BonsaiProposify vs DealHubProposify vs BonsaiQwilr vs DealHubQwilr vs BonsaiBetter Proposals vs DealHubBetter Proposals vs BonsaiDealHub vs LoopioDealHub vs ProposableLoopio vs BonsaiBonsai vs ProposableAll twenty-eight head-to-head pages and the full proposals standing

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.