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Proposal software · September 2026 Edition

PandaDoc vs Qwilr

Nine of twelve models named PandaDoc first on the direct prompt; two named Qwilr. Both were named by all twelve models and PandaDoc carries 58 labels and Qwilr 44, so the shares are not directly comparable.

PandaDoc

endorsed leader

South San Francisco, United States, founded 2013. Named in five categories this edition.

Qwilr

accepted challenger

Redfern, Australia, founded 2014. Named in three categories this edition.

First-choice share49%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate17%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#3A position in a field of 10; printed, not drawn.
Labels5844A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, PandaDoc 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 Proposify · Proposify vs Qwilr

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.
PandaDocFirst choices, of twelve modelsQwilr
Direct92
Paraphrase100
Comparative110
Budget-constrained302 against PandaDoc
Scale-constrained001 against PandaDoc
Negative007 against PandaDoc · 3 against Qwilr
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.

The direct prompt

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

Both were the first choice

1 of 12 modelsThe answer named them together, and the judge labeled each a first choice.
Kimi K2PandaDoc, Qwilr alternatives: Proposify

PandaDoc first, Qwilr an alternative

8 of 12 modelsQwilr was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5PandaDoc alternatives: ClientPoint, DealHub, Proposable
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
DeepSeek V4 FlashPandaDoc alternatives: DealHub, Loopio, Proposify, Qwilr
Qwen 3.7 FlashPandaDoc alternatives: Loopio, Proposify, Qwilr
MiniMax M2.5PandaDoc alternatives: Proposify, Qwilr

Qwilr first, PandaDoc an alternative

1 of 12 modelsPandaDoc was named in the answer but not as the choice, or not at all.
GLM 4.7 FlashXProposify, Qwilr alternatives: PandaDoc

Neither was the first choice, one was named

1 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Llama 4 MaverickProposify alternatives: Loopio, PandaDoc, Qwilr

Neither was named

1 of 12 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniProposify alternatives: Better Proposals, Quoter

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
PandaDoc leads by forty-seven points.
PandaDoc49%#1 of 10
Qwilr2%#7 of 10
The full small business standing →
Mid-marketThe figures above
PandaDoc leads by forty-four points.
PandaDoc49%#1 of 10
Qwilr4%#3 of 10
The full mid-market standing →
Enterprise
PandaDoc leads by twenty-three points.
PandaDoc23%#1 of 10
Qwilr0%#10 of 10
The full enterprise standing →

What the models said about PandaDoc

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

“Avoid: Tools like PandaDoc for government contracts, RFPs, or complex enterprise bids ... PandaDoc - Good for general sales proposals” GLM 4.7 FlashX · negative prompt · soft negative
“PandaDoc is currently the industry standard for mid-market businesses because it strikes the best balance between ease of use, functionality, and price.” Qwen 3.7 Flash · direct prompt · first choice
“Best for mid-market sales teams needing an all-in-one document workflow, it's the most widely adopted proposal AI-powered sales platform in B2B” Claude Haiku 4.5 · direct prompt · first choice
“Pick PandaDoc if you need one platform for proposals *and* contracts, NDAs, quotes, and other documents, with deep CRM integration.” DeepSeek V4 Flash · comparative prompt · first choice

What the models said about Qwilr

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

“Tools like Qwilr are incredibly modern... However, they require caution depending on your industry.” Gemini 3.5 Flash · negative prompt · soft negative
“Limited template library; fewer automation options; limited integrations compared to competitors” Kimi K2 · negative prompt · soft negative
“Be cautious of general-purpose platforms like Proposify, Qwilr, and PandaDoc” Llama 4 Maverick · negative prompt · soft negative
“For most mid-market B2B companies, PandaDoc or Qwilr offer the best balance of features, pricing, and scalability.” Kimi K2 · direct prompt · first choice
“Proposify or Qwilr are the strongest starting points” GLM 4.7 FlashX · direct prompt · first choice
“Qwilr or GetAccept if a WOW-factor buyer experience is central to your sales motion” DeepSeek V4 Flash · paraphrase prompt · alternative
Also compared

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