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CPQ · November 2026 Edition

HubSpot Commerce Hub vs Proposify

Zero of fourteen models named HubSpot Commerce Hub first on the direct prompt; zero named Proposify. HubSpot Commerce Hub was named by twelve of the fourteen models and Proposify by eight and HubSpot Commerce Hub carries 24 labels and Proposify 12, so the shares are not directly comparable.

HubSpot Commerce Hub

accepted challenger

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

Proposify

accepted challenger

Named in five categories this edition.

First-choice share4%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate4%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#6A position in a field of 12; printed, not drawn.
Labels2412A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, HubSpot Commerce Hub 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 HubSpot Commerce Hub · 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.
HubSpot Commerce HubFirst choices, of fourteen modelsProposify
Direct00
Paraphrase00
Comparative00
Budget-constrained211 against HubSpot Commerce Hub
Scale-constrained00
Negative00
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.

Every model, every framing

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

The direct prompt

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

Neither was the first choice, one was named

11 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
Grok 4.20Conga CPQ alternatives: DealHub, HubSpot Commerce Hub, Salesforce Revenue Cloud
DeepSeek V4 FlashDealHub alternatives: Conga CPQ, HubSpot Commerce Hub, PandaDoc
Llama 4 MaverickDealHub alternatives: HubSpot Commerce Hub, MonetizeNow, Salesforce Revenue Cloud
Qwen 3.7 FlashPandaDoc alternatives: Conga Quotes, DealHub, Proposify, Zoho CPQ
Kimi K2DealHub alternatives: HubSpot Commerce Hub, PandaDoc
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
Muse Glimmer 30BDealHub alternatives: BetterCommerce CPQ, Combeenation, Conga CPQ, Experlogix, HubSpot Commerce Hub, Salesforce Revenue Cloud

Neither was named

3 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
Mistral SmallDealHub, Salesforce Revenue Cloud alternatives: Conga CPQ
GPT-6 LunaDealHub alternatives: HubSpot's built-in CPQ, Salesforce Revenue Cloud, Tacton

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
Level: the same share of first choices.
HubSpot Commerce Hub9%#3 of 11
Proposify9%#2 of 11
The full small business standing →
Mid-marketThe figures above
HubSpot Commerce Hub leads by two points.
HubSpot Commerce Hub4%#3 of 12
Proposify2%#6 of 12
The full mid-market standing →
Enterprise
Level: the same share of first choices.
HubSpot Commerce Hub0%#– of 11
Proposify0%#– of 11
The full enterprise standing →

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. Four of five in this category shown.

“at $85/user/month, it's at the top end of a "limited budget" for a small team. Use only if you already have HubSpot.” DeepSeek V4 Flash · budget prompt · soft negative
“Start with PandaDoc ($49/user/month) or HubSpot Revenue Hub ($85/user/month)” Kimi K2 · budget prompt · first choice
“the best CPQ option is usually HubSpot CPQ” GPT-5.4 mini · budget prompt · first choice
“HubSpot Revenue Hub wins for teams already on HubSpot CRM, with CPQ built directly into the deal record” Muse Glimmer 30B · direct prompt · alternative

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.