DealHub vs Conga CPQ
Fourteen of fourteen models named DealHub first on the direct prompt; zero named Conga CPQ. DealHub was named by fourteen of the fourteen models and Conga CPQ by thirteen and DealHub carries 57 labels and Conga CPQ 35, so the shares are not directly comparable.
Named in five categories this edition.
Named in one category this edition.
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
DealHubFirst choices, of fourteen modelsConga CPQ
Across every category in the October 2026 Edition, DealHub and Conga CPQ were named in the same answer seventy times, of the 184 answers naming DealHub and the 108 naming Conga CPQ. In those answers Conga CPQ took the first choice one time and DealHub seventeen.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 | | | | |
DealHub Conga CPQ first choice named as an alternative argued againstblank: not namedEach cell is one answer, DealHub on the left and Conga CPQ on the right.The direct prompt
DealHub first, Conga CPQ an alternative
14 of 14 modelsConga CPQ was named in the answer but not as the choice, or not at all.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
DealHub12%#4 of 10Conga CPQ3%#6 of 10DealHub57%#1 of 12Conga CPQ4%#4 of 12Conga CPQ4%#3 of 9DealHub2%#6 of 9What the models said about DealHub
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“avoid enterprise-grade CPQs like Salesforce CPQ, Oracle CPQ Cloud, or DealHub initially” Qwen 3.7 Flash · budget prompt · hard negative
“Avoid Enterprise Tools: ... DealHub (~$60)” Grok 4.1 Fast · budget prompt · hard negative
“The Agile Mid-Market Leader: DealHub.io ... highly rated for mid-market teams because of its no-code RevOps administration and rapid deployment time” Gemini 3.5 Flash · scale prompt · first choice
“DealHub is frequently cited as the top choice for mid-market organizations due to its balance of power and ease of use.” Qwen 3.7 Flash · direct prompt · first choice
“DealHub is widely regarded as the best CPQ (Configure, Price, Quote) software for mid-market B2B companies” Mistral Small · direct prompt · first choice
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
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.