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MetaBanking & fintech

Llama for banks & fintech

Meta's natively multimodal, open-weight Mixture-of-Experts family (Scout and Maverick), free to download and self-host.

Not specifically recommended

Llama isn't on our list for banking & fintech. Usable for general work, but first look at the options we recommend for banking & fintech.

GDPR profileOur summary of what the provider itself publishes about your data: EU hosting possible, no training on your data for business use, and self-hosting available. Caution applies to a model with a documented problem, such as an investigation by a regulator. How we measure
GDPR: Caution
QualityQuality from blind duels on LMArena: users choose between two anonymous answers. A difference of about 20 points is noticeable, a few points is noise. How we measure
–Elo, independent
Editorial scoreOur own assessment on 10 of suitability for professional work, price and privacy. This is a judgement, not a measurement; that is why it always sits alongside the Elo. How we measure
7,6
Entry price
Free
Full GDPR check

What Llama does in banking & fintech

Core tasks in banking & fintech
  • Identify and verify customers during onboarding (KYC/KYB, document checks, liveness)
  • Monitor transactions for money laundering and terrorist financing and reduce false alerts
  • Screen customers and payments against sanctions lists, PEPs and adverse media
  • Detect fraud, scams and account takeover in real time and investigate alerts
Where Llama is strong
  • Open weights, fully self-hostable
  • Fine-tunable on your own data
  • Very large context window (Scout 10M)
  • GPU-efficient (Mixture-of-Experts)

Llama has a specific GDPR concern. The Llama 4 Acceptable Use Policy prohibits the multimodal models for businesses headquartered in the EU. Dutch companies therefore may not install the multimodal Llama 4 models themselves under the licence. Weigh this heavily before deploying it in banking & fintech.

Confidentiality and GDPR

GDPR: Caution

You process identity documents, biometrics and transaction data: choose providers with EU data location, ISO 27001 and a data processing agreement, and ask whether customer data is used to train the provider's models. Outsourcing critical processes falls under the DORA and EBA rules, so secure exit and audit rights in writing. Creditworthiness assessment of natural persons is a high-risk application under the EU AI Act. For transaction monitoring, the supervisor expects you to explain why an alert is or isn't triggered, a human to decide on a report to the FIU, and that you test the model for unequal treatment of customer groups.

Self-hosting gives full data control within your own EU infrastructure, a strong GDPR argument.

Rule of thumb Use the business variant with a data processing agreement, and keep a human in the loop for decisions that matter.
Caution the Llama 4 Acceptable Use Policy prohibits the multimodal models for businesses headquartered in the EU. Dutch businesses therefore may not install the multimodal Llama 4 models themselves under the licence terms.

Prices

Self-hostingFreeOpen weights; infrastructure costs only
Meta AI$0Free in WhatsApp/Instagram/Messenger
Hosted API (third parties)from ~$0.03 / 1M inVia Bedrock, Azure, Together, Groq, Novita, varies widely by provider and model size; Meta's own Llama API retired July 2026

Other models for banking & fintech

Claude for banking & fintechAnthropic · editorial 9.01506Copilot for banking & fintechMicrosoft · editorial 8.31485Le Chat (Mistral) for banking & fintechMistral AI · editorial 8.41426Perplexity for banking & fintechPerplexity AI · editorial 8.0–
All options for banking & fintech
Professional tools on Llama

We do not know of a professional tool for banking & fintech that runs publicly on Llama.

Questions about Llama for banking & fintech

Is Llama suitable for banking & fintech?
Not specifically. Llama isn't on our list for banking & fintech; it's broadly usable, but first look at the options we recommend for banking & fintech. Keep a professional in the loop for every use.
May I put confidential data into Llama?
You process identity documents, biometrics and transaction data: choose providers with EU data location, ISO 27001 and a data processing agreement, and ask whether customer data is used to train the provider's models. Outsourcing critical processes falls under the DORA and EBA rules, so record exit and audit rights. Creditworthiness assessment of natural persons is a high-risk application under the EU AI Act. For transaction monitoring, the supervisor expects you to explain why an alert is or isn't triggered, that a human decides on a report to the FIU, and that you test the model for unequal treatment of customer groups. Self-hosting gives full data control within your own EU infrastructure, a strong GDPR argument.
What does Llama cost?
There is self-hosting (free), Meta AI ($0), Hosted API (third parties) (from ~$0.03 / 1M in). Check current prices on the official site.
Next stepAll 26 options for banking & fintechProfessional tools and general assistants side by side, by GDPR profile, price and quality.

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