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CPQ · September 2026 Edition

PandaDoc vs HubSpot Commerce Hub

Zero of twelve models named PandaDoc first on the direct prompt; zero named HubSpot Commerce Hub. PandaDoc was named by eleven of the twelve models and HubSpot Commerce Hub by twelve and PandaDoc carries 43 labels and HubSpot Commerce Hub 25, so the shares are not directly comparable.

PandaDoc

accepted challenger

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

HubSpot Commerce Hub

accepted challenger

By HubSpot, Cambridge, United States, founded 2006. Named in one category this edition.

First-choice share13%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate7%8%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#4A position in a field of 12; printed, not drawn.
Labels4325A 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 twelve of the twelve direct answers. DealHub vs PandaDoc · DealHub vs HubSpot Commerce Hub · PandaDoc vs QuoteWerks

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 CPQ 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 modelsHubSpot Commerce Hub
Direct00
Paraphrase00
Comparative001 against PandaDoc
Budget-constrained62
Scale-constrained002 against PandaDoc · 1 against HubSpot Commerce Hub
Negative001 against HubSpot Commerce Hub
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.

Across every category in the September 2026 Edition, PandaDoc and HubSpot Commerce Hub were named in the same answer sixty times, of the 405 answers naming PandaDoc and the 67 naming HubSpot Commerce Hub. In those answers HubSpot Commerce Hub took the first choice ten times and PandaDoc twenty-two.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where PandaDoc and HubSpot Commerce Hub 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
PandaDoc HubSpot Commerce Hub first choice named as an alternative argued againstblank: not namedEach cell is one answer, PandaDoc on the left and HubSpot Commerce Hub on the right.

The direct prompt

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

Neither was the first choice, one was named

9 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5DealHub alternatives: HubSpot Commerce Hub, PandaDoc
Gemini 3.5 FlashDealHub alternatives: Experlogix, Nue, PandaDoc, Salesbricks, Salesforce Revenue Cloud
Perplexity SonarDealHub alternatives: PandaDoc, Salesforce CPQ
Grok 4.1 FastDealHub alternatives: Conga CPQ, PandaDoc, QuoteWerks, Salesforce Revenue Cloud
DeepSeek V4 FlashDealHub alternatives: Conga CPQ, HubSpot Sales Hub, PandaDoc, Salesforce Revenue Cloud
Llama 4 MaverickDealHub alternatives: HubSpot Commerce Hub, Qwoty
Qwen 3.7 FlashDealHub alternatives: PandaDoc
Kimi K2DealHub alternatives: Conga CPQ, PandaDoc, QuoteWerks, Salesforce Revenue Cloud, Zuora CPQ
GLM 4.7 FlashXDealHub alternatives: Oracle CPQ, PandaDoc, Quotient, Salesforce Revenue Cloud

Neither was named

3 of 12 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniDealHub alternatives: Oracle CPQ, PROS Smart CPQ, Salesforce Revenue Management / Salesforce CPQ, Tacton
Mistral SmallDealHub alternatives: Conga CPQ, Quotient, Salesforce Revenue Cloud
MiniMax M2.5DealHub alternatives: Conga CPQ, Salesforce CPQ

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-eight points.
PandaDoc54%#1 of 10
HubSpot Commerce Hub6%#4 of 10
The full small business standing →
Mid-marketThe figures above
PandaDoc leads by nine points.
PandaDoc13%#2 of 12
HubSpot Commerce Hub4%#4 of 12
The full mid-market standing →
Enterprise
Level: the same share of first choices.
PandaDoc0%#– of 9
HubSpot Commerce Hub0%#– of 9
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. One of one in this category shown.

“Skip the lightweight SMB tools (PandaDoc, HubSpot Quotes, QuoteWerks)” DeepSeek V4 Flash · scale prompt · hard negative

What the models said about HubSpot Commerce Hub

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

“Skip the lightweight SMB tools (PandaDoc, HubSpot Quotes, QuoteWerks)” DeepSeek V4 Flash · scale prompt · hard negative
“Avoid "Free" or Basic CRM Quoting Tools if you have product dependencies” Gemini 3.5 Flash · negative prompt · hard negative
“Start with Bitrix24 or HubSpot free for zero-risk testing” Grok 4.1 Fast · budget prompt · first choice
“Best budget-friendly all-in-one option: HubSpot CPQ” GPT-5.4 mini · budget prompt · first choice
“HubSpot is strongest for mid-market B2B teams with fixed, seat-based, or tiered pricing... This is ideal if you're already using HubSpot.” Claude Haiku 4.5 · direct 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.