Flagright vs Sumsub
Two of fourteen models named Flagright first on the direct prompt; zero named Sumsub. Flagright was named by eleven of the fourteen models and Sumsub by eleven and Flagright carries 27 labels and Sumsub 25, so the shares are not directly comparable.
Named in one category 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 AML and transaction monitoring page.
By framing
FlagrightFirst choices, of fourteen modelsSumsub
Across every category in the November 2026 Edition, Flagright and Sumsub were named in the same answer twenty-seven times, of the 71 answers naming Flagright and the 74 naming Sumsub. In those answers Sumsub took the first choice two times and Flagright seven.
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 | | | |
Flagright Sumsub first choice named as an alternative argued againstblank: not namedEach cell is one answer, Flagright on the left and Sumsub on the right.The direct prompt
Flagright first, Sumsub not the choice
2 of 14 modelsSumsub was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
7 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
Flagright10%#2 of 12Sumsub8%#3 of 12Flagright0%#10 of 13Sumsub0%#– of 13What the models said about Flagright
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Modern RiskOps/API-first (Unit21, Flagright, ComplyAdvantage, AMLYZE, Salv): Faster to deploy, better UX” Kimi K2 · scale prompt · first choice
“start by evaluating Flagright and Unit21 side-by-side. Both are built for your segment” Kimi K2 · direct prompt · first choice
“described as "AI-native AML compliance and risk management — Best for startups and SMEs"” Muse Glimmer 30B · paraphrase prompt · first choice
What the models said about Sumsub
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“Boutique/newer vendors with little regulatory track record... (e.g., Flagright, Rhizome, Sumsub)” DeepSeek V4 Flash · negative prompt · soft negative
“An 18-month undetected breach through a third-party support ticketing platform.” Kimi K2 · negative prompt · soft negative
“Sumsub – *Best Overall for B2B Onboarding & KYB*” Gemini 3.5 Flash · paraphrase prompt · first choice
“If you want one integrated onboarding platform rather than best-of-breed components, evaluate Sumsub as the simpler alternative.” Perplexity Sonar · paraphrase prompt · alternative
“More affordable, user-friendly options for KYC/AML with good API support... Sumsub stands out for its all-in-one verification” Grok 4.20 · paraphrase 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.