# Oracle CPQ: how AI models rank it, September 2026

GTM AI Recommendation Index, September 2026 Edition. Named in 33 judge labels across 3 categories by 12 of 12 models. Page: https://gtm-ai-index.com/vendors/oracle-cpq/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| CPQ | 0% | 72 | 45% | 31 |
| Proposal software | 0% | 69 | 100% | 1 |
| Territory and quota planning | 0% | 73 | 0% | 1 |

## What the models said for it

- "Oracle CPQ excels at complex, engineered-to-order products with its robust rules engine" (Kimi K2, CPQ)
- "Choose Oracle CPQ or SAP CPQ if you're already deep in those enterprise ecosystems." (GPT-5.4 mini, CPQ)
- "better if you are already in the Oracle stack and need enterprise-grade process control" (GPT-5.4 mini, CPQ)
- "Best for: Large enterprises, complex manufacturing, B2B with intricate product catalogs" (DeepSeek V4 Flash, CPQ)

## And against it

- "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, CPQ)
- "Oracle CPQ — *Expensive and high-maintenance* ... Avoid if: You're not already an Oracle ERP/CX shop" (Kimi K2, CPQ)
- "Risk level: HIGH - Best suited for enterprises with dedicated technical teams, not typical buyers" (Mistral Small, CPQ)
- "Avoid Heavy enterprise engines (like Oracle CPQ) if you don't have dedicated developers" (Gemini 3.5 Flash, CPQ)

## The company

Oracle Corporation; https://www.oracle.com/; Bengaluru, India; founded 1977; about 162,000 employees (2025); public, ORCL on Nasdaq. From Wikidata, fetched 2026-09-14.

## 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.