Flagright vs AMLYZE
Two of fourteen models named Flagright first on the direct prompt; zero named AMLYZE. Flagright was named by eleven of the fourteen models and AMLYZE by nine and Flagright carries 27 labels and AMLYZE 13, so the shares are not directly comparable.
Named in one category this edition.
AMLYZE
accepted challengerNamed 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 AML and transaction monitoring page.
By framing
FlagrightFirst choices, of fourteen modelsAMLYZEAcross every category in the November 2026 Edition, Flagright and AMLYZE were named in the same answer twenty-one times, of the 71 answers naming Flagright and the 22 naming AMLYZE. In those answers AMLYZE took the first choice zero times and Flagright two.
Every model, every framing
| Model | DirectAM | ParaphraseAM | ComparativeAM | Budget-constrainedAM | Scale-constrainedAM | NegativeAM |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | |||||
| GPT-5.4 mini | | |||||
| Gemini 3.5 Flash | | | ||||
| Perplexity Sonar | ||||||
| Grok 4.20 | | | ||||
| Mistral Small | | |||||
| DeepSeek V4 Flash | | | | AM | | |
| Llama 4 Maverick | AM | |||||
| Qwen 3.7 Flash | AM | |||||
| Kimi K2 | | | AM | |||
| GLM 4.7 FlashX | | |||||
| MiniMax M2.5 | | | ||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B | AM | | |
FlagrightAM AMLYZE first choice named as an alternative argued againstblank: not namedEach cell is one answer, Flagright on the left and AMLYZE on the right.The direct prompt
Flagright first, AMLYZE not the choice
2 of 14 modelsAMLYZE was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
4 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
8 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 12Flagright0%#10 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 AMLYZE
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)” Kimi K2 · scale prompt · first choice
“Modern API-first RiskOps platforms (Unit21, Flagright, ComplyAdvantage, AMLYZE, Feedzai) may be a better fit for a mid-size company.” DeepSeek V4 Flash · scale prompt · alternative
“Focuses on network analysis and graph technology to uncover complex layering schemes” Qwen 3.7 Flash · 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.