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CPQ · November 2026 Edition

PandaDoc vs Proposify

One of fourteen models named PandaDoc first on the direct prompt; zero named Proposify. PandaDoc was named by fourteen of the fourteen models and Proposify by eight and PandaDoc carries 55 labels and Proposify 12, so the shares are not directly comparable.

PandaDoc

accepted challenger

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

Proposify

accepted challenger

Named in five categories this edition.

First-choice share13%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate7%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#6A position in a field of 12; printed, not drawn.
Labels5512A 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.DealHub was named alongside these two in fourteen of the fourteen direct answers. DealHub vs PandaDoc · DealHub vs Proposify · PandaDoc vs HubSpot Commerce Hub

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 CPQ page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
PandaDocFirst choices, of fourteen modelsProposify
Direct10
Paraphrase00
Comparative00
Budget-constrained611 against PandaDoc
Scale-constrained00
Negative003 against PandaDoc
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.

Across every category in the November 2026 Edition, PandaDoc and Proposify were named in the same answer 268 times, of the 598 answers naming PandaDoc and the 290 naming Proposify. In those answers Proposify took the first choice four times and PandaDoc 141.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where PandaDoc and Proposify stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
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
PandaDoc Proposify first choice named as an alternative argued againstblank: not namedEach cell is one answer, PandaDoc on the left and Proposify on the right.

The direct prompt

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

PandaDoc first, Proposify an alternative

1 of 14 modelsProposify was named in the answer but not as the choice, or not at all.
Qwen 3.7 FlashPandaDoc alternatives: Conga Quotes, DealHub, Proposify, Zoho CPQ

Neither was the first choice, one was named

5 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5DealHub alternatives: Conga CPQ, HubSpot Commerce Hub, PandaDoc, Qwoty
Gemini 3.5 FlashDealHub alternatives: Configure One, Epicor CPQ, Experlogix, HubSpot Commerce Hub, Logik.io, PandaDoc, Salesforce Revenue Cloud
Perplexity SonarDealHub alternatives: Conga CPQ, Experlogix, HubSpot Commerce Hub, PROS Smart CPQ, PandaDoc, Salesforce Revenue Cloud
DeepSeek V4 FlashDealHub alternatives: Conga CPQ, HubSpot Commerce Hub, PandaDoc
Kimi K2DealHub alternatives: HubSpot Commerce Hub, PandaDoc

Neither was named

8 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniDealHub alternatives: Conga CPQ, Experlogix, Salesforce Revenue Cloud
Grok 4.20Conga CPQ alternatives: DealHub, HubSpot Commerce Hub, Salesforce Revenue Cloud
Mistral SmallDealHub, Salesforce Revenue Cloud alternatives: Conga CPQ
Llama 4 MaverickDealHub alternatives: HubSpot Commerce Hub, MonetizeNow, Salesforce Revenue Cloud
GLM 4.7 FlashXDealHub alternatives: Conga CPQ, HubSpot Commerce Hub, Oracle CPQ, SAP CPQ, Salesforce Revenue Cloud, Tacton
MiniMax M2.5BetterCommerce CPQ, DealHub alternatives: Expedite Commerce, HubSpot Commerce Hub
GPT-6 LunaDealHub alternatives: HubSpot's built-in CPQ, Salesforce Revenue Cloud, Tacton
Muse Glimmer 30BDealHub alternatives: BetterCommerce CPQ, Combeenation, Conga CPQ, Experlogix, HubSpot Commerce Hub, Salesforce Revenue Cloud

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 thirty-six points.
PandaDoc45%#1 of 11
Proposify9%#2 of 11
The full small business standing →
Mid-marketThe figures above
PandaDoc leads by eleven points.
PandaDoc13%#2 of 12
Proposify2%#6 of 12
The full mid-market standing →
Enterprise
Level: the same share of first choices.
PandaDoc0%#– of 11
Proposify0%#– of 11
The full enterprise standing →

What the models said about PandaDoc

No label in this category carried a quote.

What the models said about Proposify

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

“The best CPQ software for a company with a limited budget is PandaDoc or Proposify” Llama 4 Maverick · budget prompt · first choice
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.