Microsoft Entra ID vs Okta Verify
Five of fourteen models named Microsoft Entra ID first on the direct prompt; two named Okta Verify. Both were named by all fourteen models and Microsoft Entra ID carries 56 labels and Okta Verify 53, so the shares are not directly comparable.
Named in twelve categories this edition.
Named in two categories this edition.
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; every quote names the model and the prompt it came from. Both figures come from the multi-factor authentication page.
By framing
Microsoft Entra IDFirst choices, of fourteen modelsOkta Verify
Across every category in the November 2026 Edition, Microsoft Entra ID and Okta Verify were named in the same answer 131 times, of the 600 answers naming Microsoft Entra ID and the 150 naming Okta Verify. In those answers Okta Verify took the first choice five times and Microsoft Entra ID fifty-eight.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | | ||
| GPT-5.4 mini | | | | | ||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | | | ||
| Grok 4.20 | | | | | | |
| Mistral Small | | | ||||
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | | ||||
| Qwen 3.7 Flash | | | | | | |
| Kimi K2 | | | | | | |
| GLM 4.7 FlashX | | | | | | |
| MiniMax M2.5 | | | | |||
| GPT-6 Luna | | | | |||
| Muse Glimmer 30B | | | |
Microsoft Entra ID Okta Verify first choice named as an alternative argued againstblank: not namedEach cell is one answer, Microsoft Entra ID on the left and Okta Verify on the right.The direct prompt
Both were the first choice
2 of 14 modelsThe answer named them together, and the judge labeled each a first choice.Microsoft Entra ID first, Okta Verify an alternative
3 of 14 modelsOkta Verify was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
9 of 14 modelsThe answer put something else first and named one of the two as an alternative.Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
Microsoft Entra ID28%#2 of 10Okta Verify1%#7 of 10Microsoft Entra ID29%#2 of 11Okta Verify8%#3 of 11Microsoft Entra ID54%#1 of 8Okta Verify17%#3 of 8What the models said about Microsoft Entra ID
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Best if your organization is heavily invested in Microsoft 365. Rich conditional access policies and low additional cost if already licensed.” Gemini 3.5 Flash · scale prompt · first choice
What the models said about Okta Verify
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid premium-heavy tools like Okta (can get expensive)” Grok 4.20 · budget prompt · hard negative
“Okta Verify without advanced features... These can still fall to AiTM phishing, session token theft, or prompt bombing.” Grok 4.20 · negative prompt · soft negative
“Push-based MFA (e.g., Microsoft Authenticator without number matching, Duo Push, Okta Verify) is vulnerable to” DeepSeek V4 Flash · negative prompt · soft negative
“For enterprises with broad app portfolios: Okta Adaptive MFA, OneLogin, and Microsoft Entra ID offer the most comprehensive IAM + MFA capabilities.” GLM 4.7 FlashX · comparative prompt · first choice
“the best overall approach is Microsoft Entra ID or Okta, configured to use passkeys/FIDO2 security keys as the default MFA method” GPT-5.4 mini · direct prompt · first choice
“The Best All-Rounder: Okta Identity Cloud ... Okta is generally the industry leader.” Qwen 3.7 Flash · direct prompt · first choice
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.