Frontegg vs Clerk
Two of fourteen models named Frontegg first on the direct prompt; zero named Clerk. Frontegg was named by thirteen of the fourteen models and Clerk by ten and Frontegg carries 32 labels and Clerk 23, so the shares are not directly comparable.
Named in two 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 customer identity and access management page.
By framing
FronteggFirst choices, of fourteen modelsClerk
Across every category in the November 2026 Edition, Frontegg and Clerk were named in the same answer twenty-six times, of the 84 answers naming Frontegg and the 84 naming Clerk. In those answers Clerk took the first choice seven times and Frontegg one.
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 | | |
Frontegg Clerk first choice named as an alternative argued againstblank: not namedEach cell is one answer, Frontegg on the left and Clerk on the right.The direct prompt
Frontegg first, Clerk not the choice
2 of 14 modelsClerk was named in the answer but not as the choice, or not at all.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.Neither was named
2 of 14 modelsThe answer made no first choice from these two in this category.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
Frontegg8%#3 of 16Clerk4%#6 of 16What 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 Clerk
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“Clerk's own postmortems show that outages in one service can cascade into session-management downtime, and Clerk notes its session service incidents can cause "complete downtime" for customers.” GPT-5.4 mini · negative prompt · soft negative
“Clerk or similar developer-first tools as your only enterprise CIAM. Be cautious if you need mature consent management” Perplexity Sonar · negative prompt · soft negative
“Modern developer-first options with good UX, but verify their long-term viability and security maturity” DeepSeek V4 Flash · negative prompt · soft negative
“Clerk has become the go-to recommendation for modern startups building web apps” Qwen 3.7 Flash · budget prompt · first choice
“Best Overall Value: Clerk” Kimi K2 · budget prompt · first choice
“Developer‑centric teams building modern consumer apps favor Auth0, Clerk, Supabase Auth, Firebase Auth, Descope, Frontegg” GLM 4.7 FlashX · comparative prompt · alternative
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.