# CPQ: what AI models recommend, September 2026

GTM AI Recommendation Index, September 2026 Edition. Asked as "CPQ software" and as "configure, price, quote tool", six framings each, to twelve models with search on, on behalf of a mid-market B2B company. Page: https://gtm-ai-index.com/revops/cpq/

**Standing:** DealHub leads with 62% of first choices; verdict consensus. 45 first choices across the direct, paraphrase, budget and scale prompts.

## First-choice share

| # | Product | Share | Negative rate | Labels |
|---|---|---|---|---|
| 1 | DealHub | 62% | 2% | 46 |
| 2 | PandaDoc | 13% | 7% | 43 |
| 3 | QuoteWerks | 9% | 10% | 20 |
| 4 | HubSpot Commerce Hub | 4% | 8% | 25 |
| 5 | Conga CPQ | 0% | 18% | 34 |
| 6 | Tacton | 0% | 0% | 14 |
| 7 | Experlogix | 0% | 6% | 16 |
| 8 | Salesforce Revenue Cloud | 0% | 32% | 25 |
| 9 | PROS Smart CPQ | 0% | 0% | 10 |
| 10 | SAP CPQ | 0% | 40% | 25 |
| 11 | Oracle CPQ | 0% | 45% | 31 |
| 12 | Salesforce CPQ | 0% | 51% | 35 |

## Each model's first choice on the direct prompt

- Claude Haiku 4.5: DealHub; alternatives HubSpot Commerce Hub, PandaDoc
- GPT-5.4 mini: DealHub; alternatives Oracle CPQ, PROS Smart CPQ, Salesforce Revenue Management / Salesforce CPQ, Tacton
- Gemini 3.5 Flash: DealHub; alternatives Experlogix, Nue, PandaDoc, Salesbricks
- Perplexity Sonar: DealHub; alternatives PandaDoc, Salesforce CPQ
- Grok 4.1 Fast: DealHub; alternatives Conga CPQ, PandaDoc, QuoteWerks, Salesforce Revenue Cloud
- Mistral Small: DealHub; alternatives Conga CPQ, Quotient, Salesforce Revenue Cloud
- DeepSeek V4 Flash: DealHub; alternatives Conga CPQ, HubSpot Sales Hub, PandaDoc, Salesforce Revenue Cloud
- Llama 4 Maverick: DealHub; alternatives HubSpot Commerce Hub, Qwoty
- Qwen 3.7 Flash: DealHub; alternatives PandaDoc
- Kimi K2: DealHub; alternatives Conga CPQ, PandaDoc, QuoteWerks, Salesforce Revenue Cloud
- GLM 4.7 FlashX: DealHub; alternatives Oracle CPQ, PandaDoc, Quotient, Salesforce Revenue Cloud
- MiniMax M2.5: DealHub; alternatives Conga CPQ, Salesforce CPQ

## Sources the answers cite

23 of 72 answers came back with a source list, from 4 of 12 models. Sites named in the most answers:

- monday.com: 8 answers, 11 citations
- guideflow.com: 8 answers, 9 citations
- gartner.com: 7 answers, 9 citations
- cincom.com: 6 answers, 10 citations
- croclub.com: 5 answers, 5 citations
- qobra.co: 5 answers, 5 citations
- salesforce.com: 4 answers, 7 citations
- pandadoc.com: 4 answers, 5 citations

Pages named in the most answers:

- https://guideflow.com/blog/best-cpq-software (8 answers)
- https://gartner.com/reviews/market/configure-price-quote-applications (6 answers)
- https://monday.com/blog/crm-and-sales/cpq-software (6 answers)
- https://croclub.com/tools/best-cpq-software (5 answers)
- https://monday.com/blog/crm-and-sales/cpq (5 answers)
- https://qobra.co/blog/cpq-software (5 answers)
- https://turnstile.ai/blog/cpq-software-b2b-saas (4 answers)
- https://aktivsoftware.com/best-cpq-software-for-manufacturers-in-2026 (3 answers)
- https://bettercommerce.io/blog/how-to-evaluate-cpq-software (3 answers)
- https://cincom.com/blog/cpq/best-cpq-tools (3 answers)

## Warned against

- Salesforce CPQ: 18 of 35 labels negative. "Avoid/Caution if: You do not have a dedicated, senior CPQ developer/administrator... often cited as one of the most difficult to manage technically." (Qwen 3.7 Flash, negative prompt)
- Oracle CPQ: 14 of 31 labels negative. "Consistently draws the sharpest criticism from verified reviewers... The ones to be most cautious with are Oracle CPQ (support/release-cycle pain)" (DeepSeek V4 Flash, negative prompt)
- SAP CPQ: 10 of 25 labels negative. "Avoid Rigid ERP-Native CPQs if you need business agility... like older SAP configurations, Infor, or Microsoft Dynamics legacy quoting tools" (Gemini 3.5 Flash, negative prompt)
- Conga CPQ: 6 of 34 labels negative. "Powerful, but commonly a better fit for larger organizations with CLM needs; setup and ramp-up can be substantial." (Perplexity Sonar, negative prompt)

## Record

- Method: https://gtm-ai-index.com/methodology/
- Raw judge labels and full responses: https://gtm-ai-index.com/data/
- License: CC BY 4.0. Cite as GTM AI Recommendation Index, September 2026 Edition, gtm-ai-index.com.