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CPQ · October 2026 Edition

PandaDoc vs QuoteWerks

Zero of fourteen models named PandaDoc first on the direct prompt; zero named QuoteWerks. PandaDoc was named by thirteen of the fourteen models and QuoteWerks by eleven and PandaDoc carries 41 labels and QuoteWerks 23, so the shares are not directly comparable.

PandaDoc

accepted challenger

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

QuoteWerks

accepted challenger

Named in three categories this edition.

First-choice share15%9%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate7%4%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#3A position in a field of 12; printed, not drawn.
Labels4123A 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 QuoteWerks · PandaDoc vs Conga CPQ

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 modelsQuoteWerks
Direct00
Paraphrase001 against PandaDoc
Comparative001 against PandaDoc
Budget-constrained85
Scale-constrained001 against QuoteWerks
Negative101 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 October 2026 Edition, PandaDoc and QuoteWerks were named in the same answer eighty times, of the 559 answers naming PandaDoc and the 88 naming QuoteWerks. In those answers QuoteWerks took the first choice eight times and PandaDoc thirty-one.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where PandaDoc and QuoteWerks 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 QuoteWerks first choice named as an alternative argued againstblank: not namedEach cell is one answer, PandaDoc on the left and QuoteWerks on the right.

The direct prompt

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

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashDealHub alternatives: Epicor CPQ, Experlogix, NetSuite CPQ, Nue, PandaDoc
Grok 4.20DealHub alternatives: Conga CPQ, Experlogix, PandaDoc
Kimi K2DealHub alternatives: Conga CPQ, HubSpot Commerce Hub, PandaDoc

Neither was named

11 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5DealHub alternatives: Conga CPQ, HubSpot Commerce Hub
GPT-5.4 miniDealHub alternatives: Conga CPQ, SAP CPQ, Salesforce Revenue Cloud
Perplexity SonarDealHub alternatives: BetterCommerce, Experlogix, Salesforce Revenue Cloud
Mistral SmallDealHub
DeepSeek V4 FlashDealHub alternatives: Conga CPQ, Experlogix, HubSpot Commerce Hub
Llama 4 MaverickDealHub alternatives: Experlogix, Zuora CPQ
Qwen 3.7 FlashDealHub alternatives: Conga CPQ, Experlogix, Oracle CPQ, PROS Smart CPQ
GLM 4.7 FlashXDealHub alternatives: Combeenation, Experlogix
MiniMax M2.5DealHub alternatives: Experlogix, Salesforce Revenue Cloud
GPT-6 LunaDealHub alternatives: Experlogix, Salesforce Revenue Cloud
Muse Glimmer 30BDealHub alternatives: Experlogix, 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-one points.
PandaDoc45%#1 of 10
QuoteWerks14%#2 of 10
The full small business standing →
Mid-marketThe figures above
PandaDoc leads by six points.
PandaDoc15%#2 of 12
QuoteWerks9%#3 of 12
The full mid-market standing →
Enterprise
The order flips: QuoteWerks leads at enterprise.
QuoteWerks2%#– of 9
PandaDoc0%#9 of 9
The full enterprise standing →

What the models said about PandaDoc

No label in this category carried a quote.

What the models said about QuoteWerks

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 SMB-only like QuoteWerks.” Grok 4.20 · scale prompt · hard negative
“QuoteWerks is the best budget pick in the results: it is described as affordable for small sales teams” Perplexity Sonar · budget prompt · first choice
“PandaDoc from ~$19/mo and QuoteWerks from ~$15/mo are the starting points most analysts point to.” Muse Glimmer 30B · budget prompt · first choice
“I'd recommend QuoteWerks because: Lowest entry price ($15/mo)” MiniMax M2.5 · 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.