# DealHub vs Conga CPQ: which do AI models recommend for CPQ, October 2026

GTM AI Recommendation Index, October 2026 Edition, CPQ. Fourteen of fourteen models named DealHub first on the direct prompt; zero named Conga CPQ. Page: https://gtm-ai-index.com/revops/cpq/dealhub-vs-conga-cpq/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| DealHub | 57% | #1 of 12 | 9% | 57 | 14 of 14 |
| Conga CPQ | 4% | #4 of 12 | 23% | 35 | 13 of 14 |

## The direct prompt, model by model

- Claude Haiku 4.5: dealhub first (first choices: DealHub) (alternatives: Conga CPQ, HubSpot Commerce Hub)
- GPT-5.4 mini: dealhub first (first choices: DealHub) (alternatives: Conga CPQ, SAP CPQ, Salesforce Revenue Cloud)
- Gemini 3.5 Flash: dealhub first (first choices: DealHub) (alternatives: Epicor CPQ, Experlogix, NetSuite CPQ, Nue, PandaDoc)
- Perplexity Sonar: dealhub first (first choices: DealHub) (alternatives: BetterCommerce, Experlogix, Salesforce Revenue Cloud)
- Grok 4.1 Fast: dealhub first (first choices: DealHub) (alternatives: Conga CPQ, Experlogix, PandaDoc)
- Mistral Small: dealhub first (first choices: DealHub)
- DeepSeek V4 Flash: dealhub first (first choices: DealHub) (alternatives: Conga CPQ, Experlogix, HubSpot Commerce Hub)
- Llama 4 Maverick: dealhub first (first choices: DealHub) (alternatives: Experlogix, Zuora CPQ)
- Qwen 3.7 Flash: dealhub first (first choices: DealHub) (alternatives: Conga CPQ, Experlogix, Oracle CPQ, PROS Smart CPQ)
- Kimi K2: dealhub first (first choices: DealHub) (alternatives: Conga CPQ, HubSpot Commerce Hub, PandaDoc)
- GLM 4.7 FlashX: dealhub first (first choices: DealHub) (alternatives: Combeenation, Experlogix)
- MiniMax M2.5: dealhub first (first choices: DealHub) (alternatives: Experlogix, Salesforce Revenue Cloud)
- GPT-6 Luna: dealhub first (first choices: DealHub) (alternatives: Experlogix, Salesforce Revenue Cloud)
- Muse Glimmer 30B: dealhub first (first choices: DealHub) (alternatives: Experlogix, Salesforce Revenue Cloud)

## What the models said about DealHub

- "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

- "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)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.