# Veriff vs Jumio: which do AI models recommend for identity verification, October 2026

IT AI Recommendation Index, October 2026 Edition, Identity verification. Three of fourteen models named Veriff first on the direct prompt; zero named Jumio. Page: https://it-ai-index.com/identity/identity-verification/veriff-vs-jumio/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Veriff | 17% | #2 of 10 | 9% | 44 | 13 of 14 |
| Jumio | 4% | #6 of 10 | 19% | 36 | 14 of 14 |

## The direct prompt, model by model

- Llama 4 Maverick: veriff first (first choices: Veriff) (alternatives: Trustpair, iDenfy)
- Qwen 3.7 Flash: veriff first (first choices: Middesk, Veriff) (alternatives: IDology, Jumio, Onfido, Shufti Pro)
- MiniMax M2.5: veriff first (first choices: GBG, Veriff) (alternatives: Trustpair)
- GPT-5.4 mini: neither first, one named (first choices: Persona) (alternatives: Jumio, Sumsub, Trulioo)
- Perplexity Sonar: neither first, one named (first choices: Trulioo) (alternatives: Jumio, Sumsub, Veriff, iDenfy)
- Mistral Small: neither first, one named (first choices: 1Kosmos, Trulioo) (alternatives: Middesk, Veriff)
- GLM 4.7 FlashX: neither first, one named (first choices: Persona, Sumsub) (alternatives: Trulioo, Veriff)
- Claude Haiku 4.5: neither named (first choices: Trulioo) (alternatives: Ondato, Sumsub, iDenfy)
- Gemini 3.5 Flash: neither named (first choices: Persona) (alternatives: Middesk, Sumsub, iDenfy)
- Grok 4.1 Fast: neither named (first choices: Persona, Sumsub) (alternatives: Trulioo)
- DeepSeek V4 Flash: neither named (first choices: Persona) (alternatives: Middesk, Sumsub, Trulioo)
- Kimi K2: neither named (first choices: Persona, Sumsub) (alternatives: iDenfy)
- GPT-6 Luna: neither named (first choices: Middesk, Persona) (alternatives: Alloy)
- Muse Glimmer 30B: neither named

## What the models said about Veriff

- "Veriff and Persona – due to consistently poor user ratings, frequent verification failures, and unhelpful support." (GLM 4.7 FlashX, negative prompt, hard negative)
- "Late 2025 breach leaked plaintext government IDs, DOBs, and addresses. Faces class-action lawsuits" (Grok 4.1 Fast, negative prompt, hard negative)
- "Exposed data for thousands of customers" (MiniMax M2.5, negative prompt, hard negative)
- "I would particularly highlight Veriff or Jumio as top recommendations due to their balanced approach to security, user experience, and compliance." (MiniMax M2.5, paraphrase prompt, first choice)
- "the best identity verification service for a company with a strictly limited budget is typically Veriff" (Qwen 3.7 Flash, budget prompt, first choice)
- "Veriff Essential is the cheapest credible option at $1.44 per user including sanctions screening" (Muse Glimmer 30B, budget prompt, first choice)

## What the models said about Jumio

- "Avoid for mid-sized: Onfido/Jumio (enterprise pricing, custom quotes often $1–2+/check with high mins)" (Grok 4.1 Fast, paraphrase prompt, hard negative)
- "Jumio's median annual spend of around $55,000 is among the highest in the market, which is prohibitive for mid-market organizations" (Claude Haiku 4.5, direct prompt, soft negative)
- "Excellent quality (5,000+ document types) but enterprise-focused with quote-only pricing and heavy minimums" (Kimi K2, paraphrase prompt, soft negative)
- "One of the pioneers in the space, Jumio offers a "Digital Trust Suite." They have the broadest support for countries and currencies globally." (Qwen 3.7 Flash, comparative prompt, first choice)
- "Jumio and Socure lead for regulated financial services... Jumio is the safest choice for global scale." (Claude Haiku 4.5, comparative prompt, first choice)
- "One of the longest-established players, known for AI-driven, end-to-end identity verification." (MiniMax M2.5, comparative prompt, first choice)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.