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Customer identity and access management · November 2026 Edition

Kinde vs Keycloak

One of fourteen models named Kinde first on the direct prompt; zero named Keycloak. Kinde was named by nine of the fourteen models and Keycloak by ten and Kinde carries 10 labels and Keycloak 15, so the shares are not directly comparable.

Kinde

accepted challenger

Named in one category this edition.

Keycloak

accepted challenger

Named in five categories this edition.

First-choice share8%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%20%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#7A position in a field of 16; printed, not drawn.
Labels1015A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Kinde reading right to left. Rank and label count are printed, not drawn.Frontegg was named alongside these two in twelve of the fourteen direct answers. Auth0 vs Kinde · Auth0 vs Keycloak · WorkOS AuthKit vs Kinde

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 customer identity and access management page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
KindeFirst choices, of fourteen modelsKeycloak
Direct10
Paraphrase00
Comparative001 against Keycloak
Budget-constrained32
Scale-constrained00
Negative002 against Keycloak
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Kinde and Keycloak stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Kinde Keycloak first choice named as an alternative argued againstblank: not namedEach cell is one answer, Kinde on the left and Keycloak on the right.

The direct prompt

The plain question, one answer per model, grouped by where Kinde and Keycloak stood in it.

Kinde first, Keycloak not the choice

1 of 14 modelsKeycloak was named in the answer but not as the choice, or not at all.
Muse Glimmer 30BKinde, WorkOS AuthKit alternatives: Auth0, Frontegg, Okta, OneLogin

Neither was the first choice, one was named

1 of 14 modelsThe answer put something else first and named one of the two as an alternative.
DeepSeek V4 FlashFrontegg alternatives: Descope, Kinde, WorkOS AuthKit

Neither was named

12 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Auth0 alternatives: Frontegg, OneLogin, The OneWelcome Identity Platform
GPT-5.4 miniAuth0 alternatives: Frontegg, Ping Identity
Gemini 3.5 FlashWorkOS AuthKit alternatives: Clerk, Descope, Frontegg, Stytch
Perplexity SonarAuth0 alternatives: Amazon Cognito, Frontegg, FusionAuth, Microsoft Entra External ID, WorkOS AuthKit
Grok 4.20WorkOS AuthKit alternatives: Auth0, Frontegg, Stytch
Mistral SmallAuth0 alternatives: Frontegg, Microsoft Entra External ID
Llama 4 MaverickAuth0 alternatives: IBM Verify, Microsoft Entra External ID, Ping Identity, WSO2 Identity Server, WorkOS AuthKit
Qwen 3.7 FlashFrontegg alternatives: Auth0, Descope, Microsoft Entra External ID, Stytch
Kimi K2WorkOS AuthKit alternatives: Frontegg, Stytch
GLM 4.7 FlashXAuth0 alternatives: Amazon Cognito, Descope, Frontegg, Microsoft Entra External ID, Ping Identity, SSOJet, Stytch, Transmit Security
MiniMax M2.5OneLogin alternatives: Frontegg, LoginRadius, SSOJet
GPT-6 LunaWorkOS AuthKit alternatives: Auth0, Stytch

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

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Kinde leads by sixteen points.
Kinde16%#3 of 15
Keycloak0%#14 of 15
The full small business standing →
Mid-marketThe figures above
Kinde leads by four points.
Kinde8%#4 of 16
Keycloak4%#7 of 16
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Kinde0%#– of 13
Keycloak0%#– of 13
The full enterprise standing →

What the models said about Kinde

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“For a company with limited budget, Kinde or miniOrange CIAM are excellent starting points due to their free tiers.” MiniMax M2.5 · budget prompt · first choice
“The best customer identity platform for a company with a limited budget is Kinde” Llama 4 Maverick · budget prompt · first choice
“start with Kinde or miniOrange CIAM for their free or low-cost plans” Mistral Small · budget prompt · first choice

What the models said about Keycloak

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.

“High Operational Burden: Open-source platforms like Keycloak are feature-complete... you assume 100% of the responsibility for hosting” Gemini 3.5 Flash · negative prompt · soft negative
“Even popular tools like Keycloak (which has seen rising popularity) require significant engineering effort to maintain.” Qwen 3.7 Flash · negative prompt · soft negative
“FusionAuth and Keycloak stand out because they offer free self-hosted options with no per-user fees” Claude Haiku 4.5 · budget prompt · first choice
“Lowest cash spend, higher engineering effort: Keycloak” GPT-5.4 mini · budget prompt · first choice
Also compared

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.