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Proposal software · September 2026 Edition

Qwilr vs Proposable

Two of twelve models named Qwilr first on the direct prompt; zero named Proposable. Qwilr was named by twelve of the twelve models and Proposable by eight and Qwilr carries 44 labels and Proposable 10, so the shares are not directly comparable.

Qwilr

accepted challenger

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

Proposable

accepted challenger

Named in one category this edition.

First-choice share4%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate7%10%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#8A position in a field of 10; printed, not drawn.
Labels4410A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Qwilr 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 Qwilr · PandaDoc vs Proposable · 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.
QwilrFirst choices, of twelve modelsProposable
Direct20
Paraphrase00
Comparative00
Budget-constrained01
Scale-constrained00
Negative003 against Qwilr · 1 against Proposable
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 Qwilr and Proposable 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
Qwilr Proposable first choice named as an alternative argued againstblank: not namedEach cell is one answer, Qwilr on the left and Proposable on the right.

The direct prompt

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

Qwilr first, Proposable not the choice

2 of 12 modelsProposable was named in the answer but not as the choice, or not at all.
Kimi K2PandaDoc, Qwilr alternatives: Proposify
GLM 4.7 FlashXProposify, Qwilr alternatives: PandaDoc

Neither was the first choice, one was named

7 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
Gemini 3.5 FlashPandaDoc alternatives: GetAccept, Loopio, Proposify, Qwilr, SiftHub, Trumpet
Mistral SmallPandaDoc alternatives: GetAccept, Proposify, Qwilr
DeepSeek V4 FlashPandaDoc alternatives: DealHub, Loopio, Proposify, Qwilr
Llama 4 MaverickProposify alternatives: Loopio, PandaDoc, Qwilr
Qwen 3.7 FlashPandaDoc alternatives: Loopio, Proposify, Qwilr
MiniMax M2.5PandaDoc alternatives: Proposify, Qwilr

Neither was named

3 of 12 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniProposify alternatives: Better Proposals, Quoter
Perplexity SonarPandaDoc alternatives: Proposify
Grok 4.1 FastPandaDoc alternatives: GetAccept, Proposify

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
Qwilr leads by two points.
Qwilr2%#7 of 10
Proposable0%#8 of 10
The full small business standing →
Mid-marketThe figures above
Qwilr leads by two points.
Qwilr4%#3 of 10
Proposable2%#8 of 10
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Qwilr0%#10 of 10
Proposable0%#– of 10
The full enterprise standing →

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

What the models said about Proposable

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

“Proposable — Lightweight but Problematic” Kimi K2 · negative prompt · soft negative
“Proposable if you need CRM integrations and analytics on a tight budget” MiniMax M2.5 · budget prompt · first choice
“A balanced proposal tool for mid-market teams wanting more than basic features but less than enterprise-level complexity” Claude Haiku 4.5 · direct prompt · alternative
“A simple, lightweight option with a solid template library, built-in e-signatures” Gemini 3.5 Flash · 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.