Persona vs iDenfy
Seven of fourteen models named Persona first on the direct prompt; zero named iDenfy. Persona was named by fourteen of the fourteen models and iDenfy by thirteen and Persona carries 41 labels and iDenfy 26, so the shares are not directly comparable.
Named in one category this edition.
Named in one category 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 identity verification page.
By framing
PersonaFirst choices, of fourteen modelsiDenfy
Across every category in the October 2026 Edition, Persona and iDenfy were named in the same answer thirty-seven times, of the 121 answers naming Persona and the 75 naming iDenfy. In those answers iDenfy took the first choice eight times and Persona six.
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 4.1 Fast | | | | | ||
| 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 | | |
Persona iDenfy first choice named as an alternative argued againstblank: not namedEach cell is one answer, Persona on the left and iDenfy on the right.The direct prompt
Persona first, iDenfy an alternative
7 of 14 modelsiDenfy was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
4 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
Persona21%#1 of 10iDenfy8%#4 of 10What the models said about Persona
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“third-party B2B identity verifiers like Persona Identities or Confirm ID ... faced class-action lawsuits under BIPA” Gemini 3.5 Flash · negative prompt · hard negative
“Veriff and Persona – due to consistently poor user ratings, frequent verification failures, and unhelpful support.” GLM 4.7 FlashX · negative prompt · hard negative
“Data Pass-Through: Research found that identity checks can pass personal data through up to 17 different companies” MiniMax M2.5 · negative prompt · hard negative
“Best overall for regulated onboarding: Persona, for configurable identity flows and fraud orchestration across the full lifecycle.” Muse Glimmer 30B · comparative prompt · first choice
“Persona — Best Overall for Customization & Unified Flows ... widely considered the gold standard for mid-market companies” Gemini 3.5 Flash · direct prompt · first choice
“If you want zero upfront costs and the easiest developer integration, go with Persona (Starter Plan).” Gemini 3.5 Flash · budget prompt · first choice
What the models said about iDenfy
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“I'd recommend iDenfy or Sumsub as top KYC document and selfie verification tools, with iDenfy edging out for its budget-friendly pricing” Grok 4.1 Fast · paraphrase prompt · first choice
“the best practical choice is usually iDenfy because it is specifically described as well-suited for small businesses” Perplexity Sonar · budget prompt · first choice
“For the tightest budget, I'd recommend starting with iDenfy or Veriff Essential” MiniMax M2.5 · budget 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.