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Customer identity and access management · November 2026 Edition

Frontegg vs Keycloak

Two of fourteen models named Frontegg first on the direct prompt; zero named Keycloak. Frontegg was named by thirteen of the fourteen models and Keycloak by ten and Frontegg carries 32 labels and Keycloak 15, so the shares are not directly comparable.

Frontegg

accepted challenger

Named in two categories 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#3#7A position in a field of 16; printed, not drawn.
Labels3215A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Frontegg reading right to left. Rank and label count are printed, not drawn.Auth0 was named alongside these two in ten of the fourteen direct answers. Auth0 vs Frontegg · Auth0 vs Keycloak · WorkOS AuthKit vs Frontegg

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.
FronteggFirst choices, of fourteen modelsKeycloak
Direct20
Paraphrase20
Comparative001 against Keycloak
Budget-constrained02
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 Frontegg 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
Frontegg Keycloak first choice named as an alternative argued againstblank: not namedEach cell is one answer, Frontegg on the left and Keycloak on the right.

The direct prompt

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

Frontegg first, Keycloak not the choice

2 of 14 modelsKeycloak was named in the answer but not as the choice, or not at all.
DeepSeek V4 FlashFrontegg alternatives: Descope, Kinde, WorkOS AuthKit
Qwen 3.7 FlashFrontegg alternatives: Auth0, Descope, Microsoft Entra External ID, Stytch

Neither was the first choice, one was named

10 of 14 modelsThe answer put something else first and named one of the two as an alternative.
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
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
Muse Glimmer 30BKinde, WorkOS AuthKit alternatives: Auth0, Frontegg, Okta, OneLogin

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.
Llama 4 MaverickAuth0 alternatives: IBM Verify, Microsoft Entra External ID, Ping Identity, WSO2 Identity Server, WorkOS AuthKit
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
Frontegg leads by nine points.
Frontegg9%#5 of 15
Keycloak0%#14 of 15
The full small business standing →
Mid-marketThe figures above
Frontegg leads by four points.
Frontegg8%#3 of 16
Keycloak4%#7 of 16
The full mid-market standing →
Enterprise
Frontegg leads by two points.
Frontegg2%#9 of 13
Keycloak0%#– of 13
The full enterprise standing →

What the models said about Frontegg

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 most mid-market B2B SaaS companies today: Start with Frontegg if you want to ship a complete customer experience” Qwen 3.7 Flash · direct prompt · first choice
“My top pick for most mid-market B2B companies is Frontegg” DeepSeek V4 Flash · direct prompt · first choice
“the strongest default recommendation is Frontegg” Perplexity Sonar · paraphrase 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.