Meta Llama

What it does

Meta's Llama series is the leading family of open-source large language models, released with weights that developers can download, modify, and deploy on their own infrastructure. Llama 3 models range from 8B to 405B parameters and match or approach proprietary model quality on many benchmarks. The open-weights approach makes Llama the foundation of thousands of fine-tuned models and AI products built by the developer community.

Strengths

• Mid-market companies self-host Llama for cost control at scale and data privacy - avoiding per-token costs that compound quickly with high-volume applications.
• Enterprises with data sovereignty requirements, regulated data, or very high volume use cases deploy Llama on private infrastructure for full control with no data leaving their environment.
• Small technical teams fine-tune Llama on their own data for specialized use cases - customer service, document processing, domain-specific Q&A - without ongoing API costs.

Watch-outs

• Requires significant engineering to deploy: Meta Llama is an open-weight model, not a product — deploying it in production requires infrastructure, fine-tuning, safety evaluation, and ongoing maintenance that demands dedicated engineering resources.
• Safety tuning requires additional work: The base Llama models have fewer safety guardrails than commercial alternatives — production deployments targeting consumer-facing use cases need additional alignment and moderation work.
• No managed support or SLA: Meta provides the model weights but no production support, uptime guarantees, or incident response — organizations need a third-party hosting arrangement or internal SRE capability to operate it reliably.

Pricing

Free to download and self-host under Meta's {{llama}} license (commercial use permitted for companies under 700M monthly active users). Hosted inference available through {{aws-bedrock}}, Azure, and others at standard token rates.