# Descope vs Microsoft Entra External ID: which do AI models recommend for CIAM, October 2026

IT AI Recommendation Index, October 2026 Edition, Customer identity and access management. One of fourteen models named Descope first on the direct prompt; zero named Microsoft Entra External ID. Page: https://it-ai-index.com/identity/customer-identity-and-access-management/descope-vs-microsoft-entra-external-id/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Descope | 5% | #5 of 14 | 0% | 20 | 11 of 14 |
| Microsoft Entra External ID | 4% | #8 of 14 | 23% | 39 | 14 of 14 |

## The direct prompt, model by model

- Claude Haiku 4.5: descope first (first choices: Descope, Frontegg) (alternatives: OneWelcome Identity Platform, SSOJet, WorkOS)
- Perplexity Sonar: neither first, one named (first choices: LoginRadius) (alternatives: Clerk, Frontegg, Microsoft Entra External ID)
- Grok 4.1 Fast: neither first, one named (first choices: Auth0) (alternatives: Clerk, Frontegg, FusionAuth, Microsoft Entra External ID, Stytch, WorkOS)
- DeepSeek V4 Flash: neither first, one named (first choices: Auth0, Frontegg) (alternatives: Clerk, Microsoft Entra External ID, Stytch)
- GLM 4.7 FlashX: neither first, one named (first choices: Auth0) (alternatives: Clerk, Descope, LoginRadius, Microsoft Entra External ID)
- MiniMax M2.5: neither first, one named (first choices: Auth0, Clerk) (alternatives: Descope, LoginRadius)
- GPT-6 Luna: neither first, one named (first choices: WorkOS AuthKit) (alternatives: Auth0, Microsoft Entra External ID, Stytch)
- GPT-5.4 mini: neither named (first choices: Frontegg) (alternatives: Auth0/Okta Customer Identity Cloud, FusionAuth, Okta)
- Gemini 3.5 Flash: neither named (first choices: WorkOS) (alternatives: Clerk, Frontegg, Kinde)
- Mistral Small: neither named (first choices: LoginRadius) (alternatives: Thales OneWelcome)
- Llama 4 Maverick: neither named (first choices: LoginRadius) (alternatives: Clerk, OneWelcome Identity Platform)
- Qwen 3.7 Flash: neither named (first choices: Auth0, Clerk) (alternatives: Microsoft Entra ID)
- Kimi K2: neither named (first choices: Clerk, Frontegg) (alternatives: FusionAuth, WorkOS)
- Muse Glimmer 30B: neither named (first choices: Frontegg, LoginRadius) (alternatives: Auth0, Ping Identity)

## What the models said about Descope

- "Prioritize platforms like Stytch, Descope, or Ping Identity for simpler, privacy-focused alternatives" (Grok 4.1 Fast, negative prompt, first choice)
- "I'd recommend starting with either Descope or Clerk due to their generous free tiers" (MiniMax M2.5, budget prompt, first choice)
- "Descope is widely recommended as the best overall affordable option." (Claude Haiku 4.5, budget prompt, first choice)

## What the models said about Microsoft Entra External ID

- "Azure AD B2C if you need a broad, flexible CIAM platform... limited to single-app external use cases... limited customization" (Perplexity Sonar, negative prompt, hard negative)
- "Microsoft stopped selling it to new customers on May 1, 2025... Microsoft calls it a legacy solution." (GPT-6 Luna, negative prompt, hard negative)
- "Don't start a new project on Azure AD B2C — you'd be investing in a dead-end platform." (DeepSeek V4 Flash, negative prompt, hard negative)
- "Need a quick, managed CIAM with a generous free allowance and Microsoft stack: Microsoft Entra External ID – free first 50,000 MAU." (Muse Glimmer 30B, budget prompt, first choice)
- "the best overall fit is usually Microsoft Entra External ID ... free tier for the first 50,000 monthly active users" (Perplexity Sonar, budget prompt, first choice)
- "If your company is already invested in the Microsoft ecosystem, Microsoft Entra External ID is also a strong contender." (Mistral Small, paraphrase 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.