# DealHub vs Salesforce Revenue Cloud: 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 Salesforce Revenue Cloud. Page: https://gtm-ai-index.com/revops/cpq/dealhub-vs-salesforce-revenue-cloud/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| DealHub | 57% | #1 of 12 | 9% | 57 | 14 of 14 |
| Salesforce Revenue Cloud | 2% | #7 of 12 | 44% | 66 | 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 Salesforce Revenue Cloud

- "Salesforce CPQ is now end of sale for new customers... Any CPQ that is being phased out or has a clear successor you'd be forced to migrate to soon." (GPT-5.4 mini, negative prompt, hard negative)
- "I'd avoid starting a fresh deployment on it unless you have a specific reason and a clear long-term plan" (GPT-6 Luna, negative prompt, hard negative)
- "avoid enterprise-grade CPQs like Salesforce CPQ, Oracle CPQ Cloud, or DealHub initially" (Qwen 3.7 Flash, budget prompt, hard negative)
- "Best for: Organizations already using Salesforce CRM ... Seamless native integration with Salesforce ecosystem" (MiniMax M2.5, comparative prompt, first choice)
- "The Top Choice is: Salesforce (Agentforce Revenue Management) | Native data continuity from quote to billing." (Gemini 3.5 Flash, comparative prompt, first choice)
- "Leader in the CPQ space, especially for businesses already using Salesforce CRM." (Mistral Small, comparative prompt, first choice)

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.