# Power BI Embedded: how AI models rank it, October 2026

IT AI Recommendation Index, October 2026 Edition. Named in 27 judge labels across 1 categories by 12 of 14 models. Page: https://it-ai-index.com/vendors/power-bi-embedded/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Embedded analytics | 2% | 14 | 41% | 27 |

## What the models said for it

- "Power BI Embedded and Explo are the top recommendations due to their ease of integration, strong security, and focus on customer-facing analytics" (Mistral Small, Embedded analytics)
- "capacity-based pricing that scales without per-viewer cost and represents the strongest economic model in the market for external sharing at scale" (Claude Haiku 4.5, Embedded analytics)
- "Microsoft-heavy environments favor Power BI Embedded for native Azure integration and broad connector support." (Muse Glimmer 30B, Embedded analytics)
- "If you're in Microsoft/Salesforce ecosystems, lean Power BI Embedded (~$1/hr capacity) or Tableau." (Grok 4.1 Fast, Embedded analytics)

## And against it

- "Note that setting up true external multi-tenancy and matching your app's exact UI/UX in these legacy tools can be complex and expensive." (Gemini 3.5 Flash, Embedded analytics)
- "Cons: Multi-tenancy challenges. ... unless you pay for dedicated capacity units (which gets expensive quickly)." (Qwen 3.7 Flash, Embedded analytics)
- "Capacity-based pricing explodes with growth (platform fees); Copilot/AI limited in embedded mode" (Grok 4.1 Fast, Embedded analytics)
- "Tier 3 (Fastest time-to-value, some limitations): Power BI Embedded, Tableau Embedded, Domo" (Kimi K2, Embedded analytics)

## Record

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