# ComplyAdvantage vs Alessa: 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; one named Alessa. Page: https://finance-ai-index.com/tax/aml-and-transaction-monitoring/complyadvantage-vs-alessa/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| ComplyAdvantage | 33% | #1 of 13 | 6% | 48 | 13 of 14 |
| Alessa | 2% | #5 of 13 | 0% | 17 | 7 of 14 |

## The direct prompt, model by model

- Claude Haiku 4.5: both 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)
- Grok 4.1 Fast: neither first, one named (first choices: Flagright) (alternatives: Alessa, Hummingbird, Ondato)
- 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)
- 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 Alessa

- "Alessa is another strong contender specifically positioned for mid-market organizations." (Claude Haiku 4.5, direct prompt, first choice)
- "If compliance case volume is already high and you need robust investigation workflows, Alessa or Lucinity are safer bets." (Kimi K2, direct prompt, alternative)
- "If you need a more rules-based, configurable solution at a mid-market price point, Alessa is also highly recommended." (Mistral Small, direct prompt, alternative)

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.