Index › IT › Identity and access › Identity verification › Persona vs Veriff
Identity verification · November 2026 Edition

Persona vs Veriff

Four of fourteen models named Persona first on the direct prompt; zero named Veriff. Persona was named by thirteen of the fourteen models and Veriff by fourteen and both carry 43 labels, so the shares below are directly comparable.

Persona

accepted challenger

Named in two categories this edition.

Veriff

accepted challenger

Named in one category this edition.

First-choice share17%11%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate12%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#4A position in a field of 11; printed, not drawn.
Labels4343Equal, which is what makes the shares comparable.
The two percentage rows are drawn on one 0 to 100 track, Persona reading right to left. Rank and label count are printed, not drawn.Sumsub was named alongside these two in ten of the fourteen direct answers. Sumsub vs Persona · Sumsub vs Veriff · Persona vs Didit

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

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
PersonaFirst choices, of fourteen modelsVeriff
Direct40
Paraphrase341 against Persona
Comparative11
Budget-constrained111 against Veriff
Scale-constrained11
Negative004 against Persona · 2 against Veriff
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.

Across every category in the November 2026 Edition, Persona and Veriff were named in the same answer eighty-nine times, of the 128 answers naming Persona and the 132 naming Veriff. In those answers Veriff took the first choice fifteen times and Persona thirteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Persona and Veriff 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
Persona Veriff first choice named as an alternative argued againstblank: not namedEach cell is one answer, Persona on the left and Veriff on the right.

The direct prompt

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

Persona first, Veriff an alternative

4 of 14 modelsVeriff was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashPersona alternatives: Middesk, Sumsub
DeepSeek V4 FlashPersona, Sumsub alternatives: Alloy, Middesk
Kimi K2Persona, Sumsub alternatives: Trustpair, Veriff
GPT-6 LunaPersona alternatives: Middesk

Neither was the first choice, one was named

7 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Trulioo alternatives: Middesk, Persona, Sumsub, iDenfy
GPT-5.4 miniSumsub alternatives: Entrust IDV, Trulioo, Veriff
Perplexity SonarTrulioo alternatives: Middesk, Persona, Sumsub, Veriff
Grok 4.20Shufti Pro alternatives: Persona, Socure
Mistral SmallComplyCube, Sumsub alternatives: Persona
Qwen 3.7 FlashiDenfy alternatives: ComplyCube, Middesk, Persona
Muse Glimmer 30BSumsub alternatives: Persona, Trulioo, Veriff

Neither was named

3 of 14 modelsThe answer made no first choice from these two in this category.
Llama 4 Maverickno first choice
GLM 4.7 FlashXComplyCube, iDenfy alternatives: Jumio, Sumsub
MiniMax M2.5Trustpair alternatives: Incode Technologies, Jumio, Socure, Sumsub

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
Veriff leads by eight points.
Veriff15%#3 of 10
Persona6%#6 of 10
The full small business standing →
Mid-marketThe figures above
The order flips: Persona leads at mid-market.
Persona17%#2 of 11
Veriff11%#4 of 11
The full mid-market standing →
Enterprise
Persona leads by four points.
Persona16%#1 of 11
Veriff12%#4 of 11
The full enterprise standing →

What the models said about Persona

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

“Frequent verification process failures that lock users out of accounts” DeepSeek V4 Flash · negative prompt · hard negative
“Services such as ID.me and Persona are generally described as legitimate, but legitimacy does not eliminate privacy, account-compromise, or phishing risks.” Perplexity Sonar · negative prompt · soft negative
“Both are strong but can be pricier or less specialized in high-volume global docs compared to Sumsub.” Grok 4.20 · paraphrase prompt · soft negative
“Given your size, Persona, 1Kosmos, or Veriff are strong starting points worth evaluating in a pilot.” DeepSeek V4 Flash · scale prompt · first choice
“Go with Persona if your priority is user experience and getting integrated quickly with a modern tech stack.” Qwen 3.7 Flash · paraphrase prompt · first choice
“My default pick is Persona if you need one configurable system for both people and businesses” GPT-6 Luna · direct prompt · first choice

What the models said about Veriff

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

“Veriff (Trustpilot: ~1.3/5) - Users report the system frequently gets stuck at the selfie step” DeepSeek V4 Flash · negative prompt · hard negative
“Higher price point but reliable for businesses needing more robust verification” Kimi K2 · budget prompt · soft negative
“Data breach exposing 8,583 Total Wireless customers; Vague rejection reasoning” Kimi K2 · negative prompt · soft negative
“Given your size, Persona, 1Kosmos, or Veriff are strong starting points worth evaluating in a pilot.” DeepSeek V4 Flash · scale prompt · first choice
“I'd generally recommend Veriff as the default choice for document + selfie verification” GPT-5.4 mini · paraphrase prompt · first choice
“Choose Veriff for broad international consumer onboarding and fraud prevention.” Perplexity Sonar · comparative 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.