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MetaCustomer service

Llama for customer service

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 customer service. Usable for general work, but first look at the options we recommend for customer service.

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 customer service

Core tasks in customer service
  • Automatically answering frequently asked questions
  • Supporting agents with draft replies
  • Summarising and categorising conversations
  • Keeping the knowledge base up to date
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 raises a concrete GDPR concern. The Llama 4 Acceptable Use Policy prohibits the multimodal models for businesses headquartered in the EU. Dutch businesses therefore may not, under the licence, install the multimodal Llama 4 models themselves. Weigh this heavily before deploying it in customer service.

Confidentiality and GDPR

GDPR: Caution

Be transparent that customers are speaking with AI and ensure a smooth handover to an employee. Protect the privacy of customer data in conversations.

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

Questions about Llama for customer service

Is Llama suitable for customer service?
Not specifically. Llama isn't on our list for customer service; it's broadly usable, but first look at the options we recommend for customer service. Keep a professional in the loop for every use.
May I put confidential data into Llama?
Be transparent that customers are speaking with AI and ensure a smooth handover to a staff member. Safeguard the privacy of customer data in conversations. Self-hosting gives you 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.

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