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MetaProcurement & tenders

Llama for procurement & tendering

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 procurement & tendering. Usable for general work, but first look at the options we recommend for procurement & tendering.

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 procurement & tenders

Core tasks in procurement & tendering
  • Spend analysis: classifying spend, normalising suppliers and finding savings
  • Finding and assessing suppliers and monitoring risks (ESG, compliance)
  • Setting up RFIs, RFQs and eAuctions, comparing bids and awarding
  • Finding tenders, extracting requirements and writing submissions (bid management)
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 concrete GDPR concern. The Llama 4 Acceptable Use Policy prohibits the multimodal models for businesses headquartered in the EU. Dutch companies may therefore not install the multimodal Llama 4 models themselves under the licence. Weigh this heavily before deploying it in procurement & tenders.

Confidentiality and GDPR

GDPR: Caution

Quotes, prices, contracts and submissions are commercially confidential; supplier and contact details also contain personal data. Sign a data processing agreement, ask where the data is stored (EU hosting) and which AI sub-processors are used, and get it recorded that your bids and spend data are not used to train models. Never paste confidential documents from an ongoing tender into a free chatbot. In public procurement, the Dutch Public Procurement Act and the principles of equal treatment and transparency apply: do not let AI award or exclude on its own, and explain how an assessment was reached. If you as a public body procure AI yourself, use the PIANOo guideline 'Buying or having algorithms and AI developed' and take the AI Act into account. An AI-generated submission remains your responsibility: check every commitment.

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 procurement & tenders

Is Llama suitable for procurement & tenders?
Not specifically. Llama isn't on our list for procurement & tendering; it's broadly usable, but first look at the options we recommend for procurement & tendering. Keep a professional in the loop for every use.
May I put confidential data into Llama?
Quotes, prices, contracts and bids are commercially confidential; supplier and contact details also contain personal data. Conclude a data processing agreement, ask where the data is stored (EU hosting) and which AI sub-processors are used, and have it recorded that your bids and spend data are not used to train models. Never paste confidential parts of an ongoing tender into a free chatbot. In public procurement the Aanbestedingswet (Dutch Public Procurement Act) and the principles of equal treatment and transparency apply: do not let AI award or exclude independently, and explain how an assessment was reached. If you as a government body procure AI yourself, use the PIANOo guideline 'Buying or having algorithms and AI developed' and take the EU AI Act into account. An AI-generated bid remains your responsibility: check every commitment. 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.

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