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CPQ · October 2026 Edition

Conga CPQ vs Proposify

Zero of fourteen models named Conga CPQ first on the direct prompt; zero named Proposify. Conga CPQ was named by thirteen of the fourteen models and Proposify by eight and Conga CPQ carries 35 labels and Proposify 12, so the shares are not directly comparable.

Conga CPQ

accepted challenger

Named in one category this edition.

Proposify

accepted challenger

Named in six categories this edition.

First-choice share4%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate23%8%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#6A position in a field of 12; printed, not drawn.
Labels3512A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Conga CPQ 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 Conga CPQ · DealHub vs Proposify · 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.
Conga CPQFirst choices, of fourteen modelsProposify
Direct001 against Conga CPQ
Paraphrase10
Comparative001 against Conga CPQ · 1 against Proposify
Budget-constrained012 against Conga CPQ
Scale-constrained10
Negative004 against Conga CPQ
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 Conga CPQ and Proposify 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
GPT-6 Luna
Muse Glimmer 30B
Conga CPQ Proposify first choice named as an alternative argued againstblank: not namedEach cell is one answer, Conga CPQ on the left and Proposify on the right.

The direct prompt

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

Neither was the first choice, one was named

6 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
GPT-5.4 miniDealHub alternatives: Conga CPQ, SAP CPQ, Salesforce Revenue Cloud
Grok 4.1 FastDealHub alternatives: Conga CPQ, Experlogix, PandaDoc
DeepSeek V4 FlashDealHub alternatives: Conga CPQ, Experlogix, HubSpot Commerce Hub
Qwen 3.7 FlashDealHub alternatives: Conga CPQ, Experlogix, Oracle CPQ, PROS Smart CPQ
Kimi K2DealHub alternatives: Conga CPQ, HubSpot Commerce Hub, PandaDoc

Neither was named

8 of 14 modelsThe answer made no first choice from these two in this category.
Gemini 3.5 FlashDealHub alternatives: Epicor CPQ, Experlogix, NetSuite CPQ, Nue, PandaDoc
Perplexity SonarDealHub alternatives: BetterCommerce, Experlogix, Salesforce Revenue Cloud
Mistral SmallDealHub
Llama 4 MaverickDealHub alternatives: Experlogix, Zuora 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
Level: the same share of first choices.
Conga CPQ3%#6 of 10
Proposify3%#5 of 10
The full small business standing →
Mid-marketThe figures above
Conga CPQ leads by two points.
Conga CPQ4%#4 of 12
Proposify2%#6 of 12
The full mid-market standing →
Enterprise
Conga CPQ leads by four points.
Conga CPQ4%#3 of 9
Proposify0%#– of 9
The full enterprise standing →

What the models said about Conga CPQ

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

“some Conga products are described as hard to configure and difficult for teams to troubleshoot without vendor support” GPT-5.4 mini · negative prompt · soft negative
“Users find the complexity of Conga CPQ challenging, especially during initial setup and learning phases.” Muse Glimmer 30B · negative prompt · soft negative
“vendors such as Conga use custom pricing, so the subscription price alone won't tell you the total cost” GPT-6 Luna · budget prompt · soft negative
“Mid-market standouts: DealHub and Conga CPQ balance power with faster implementation timelines.” Muse Glimmer 30B · scale prompt · first choice
“I'd usually recommend DealHub CPQ or Conga CPQ” GPT-5.4 mini · paraphrase prompt · first choice
“Conga CPQ: An enterprise CPQ platform that helps sales teams configure products, manage complex pricing structures” Llama 4 Maverick · budget 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.

“PandaDoc, Proposify, or HubSpot Quotes are the best starting points” Mistral Small · 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.