# ComplyAdvantage vs Sanction Scanner: which do AI models recommend for AML monitoring, October 2026

Finance AI Recommendation Index, October 2026 Edition, AML and transaction monitoring. Four of fourteen models named ComplyAdvantage first on the direct prompt; zero named Sanction Scanner. Page: https://finance-ai-index.com/tax/aml-and-transaction-monitoring/complyadvantage-vs-sanction-scanner/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| ComplyAdvantage | 33% | #1 of 13 | 6% | 48 | 13 of 14 |
| Sanction Scanner | 13% | #3 of 13 | 6% | 17 | 12 of 14 |

## The direct prompt, model by model

- Claude Haiku 4.5: complyadvantage first (first choices: Alessa, ComplyAdvantage) (alternatives: Napier AI, Unit21)
- DeepSeek V4 Flash: complyadvantage first (first choices: ComplyAdvantage) (alternatives: Alessa, Unit21)
- Kimi K2: complyadvantage first (first choices: ComplyAdvantage, Flagright) (alternatives: Alessa, Lucinity, Sift)
- GLM 4.7 FlashX: complyadvantage first (first choices: ComplyAdvantage, NorthRow) (alternatives: Alloy, SEON)
- Gemini 3.5 Flash: neither first, one named (first choices: Alloy) (alternatives: ComplyAdvantage, Sumsub, Unit21)
- Perplexity Sonar: neither first, one named (first choices: Trustform) (alternatives: ComplyAdvantage, Flagright, Hawk AI)
- Mistral Small: neither first, one named (first choices: Feedzai) (alternatives: Alessa, ComplyAdvantage, Napier AI, ThetaRay, Unit21)
- GPT-6 Luna: neither first, one named (first choices: Unit21) (alternatives: Alloy, ComplyAdvantage, Sardine)
- Muse Glimmer 30B: neither first, one named (first choices: Unit21) (alternatives: Alessa, Eftsure, Feedzai, Hawk AI, Napier AI Continuum, Sanction Scanner)
- GPT-5.4 mini: neither named (first choices: Unit21) (alternatives: Feedzai, Fenergo)
- Grok 4.1 Fast: neither named (first choices: Flagright) (alternatives: Alessa, Hummingbird, Ondato)
- Llama 4 Maverick: neither named (first choices: Sphinx) (alternatives: FraudNet, Ondato, Shuftipro, Tookitaki)
- Qwen 3.7 Flash: neither named (first choices: ComplyCube) (alternatives: Dow Jones Risk & Compliance, Sumsub, Trulioo)
- MiniMax M2.5: neither named

## What the models said about ComplyAdvantage

- "Entry-level SaaS pricing cited around $99/month for basic screening, though it is not specifically framed as the cheapest end-to-end option." (Perplexity Sonar, budget prompt, soft negative)
- "excellent for fintechs, neobanks, and web3 companies... However, they are highly sensitive to data quality." (Gemini 3.5 Flash, negative prompt, soft negative)
- "their suitability depends on your business model, transaction volume, and regulatory requirements" (Mistral Small, negative prompt, soft negative)
- "I recommend starting with NorthRow or ComplyAdvantage as they offer the best balance of features, pricing, and ease of implementation" (GLM 4.7 FlashX, direct prompt, first choice)
- "ComplyAdvantage is currently the best balance of affordability, transparency, and comprehensive features, starting at just $99/month" (Qwen 3.7 Flash, budget prompt, first choice)
- "ComplyAdvantage and Vespia are excellent choices if you need advanced automation, global coverage, and scalability." (Mistral Small, paraphrase prompt, first choice)

## What the models said about Sanction Scanner

- "Explicitly described as screening-only / sanctions and PEP, not full transaction monitoring." (Perplexity Sonar, negative prompt, soft negative)
- "Sanction Scanner if you want the best all-around balance of features and usability." (GPT-5.4 mini, paraphrase prompt, first choice)
- "Positioned as a budget-friendly AML for businesses of any size with tier-based pricing." (Muse Glimmer 30B, budget prompt, first choice)
- "1. Sanction Scanner
- Cost-effective screening solution
- API-first approach" (MiniMax M2.5, budget 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.