Open Weights (Self-Host)
Free
- Free model weights download
- Commercial use license
- Full fine-tuning capability
- Hardware costs: $2K-$100K+ for GPUs
Meta AI develops the Llama series of open-weight large language models, which have become the foundation for a large portion of the open-source AI ecosystem. The AI division, formerly known as Facebook AI Research (FAIR), was founded in 2013 by Mark Zuckerberg and Yann LeCun.
Llama models are freely available under a community license for commercial use, can be fine-tuned and self-hosted, and are offered through dozens of inference providers including Together AI, Groq, DeepInfra, and AWS Bedrock. The Llama 4 family includes Scout (109B MoE, 10M context) and Maverick (400B MoE), with competitive performance at a fraction of proprietary model costs.
Meta Platforms employs approximately 78,865 people globally and generated $200.97 billion in revenue in 2025. The company has committed over $60B to AI infrastructure investment and released PyTorch, one of the most widely used machine learning frameworks in the world.
Core capabilities this platform advertises.
What this tool does well, and the limitations to keep in mind.
Pros
Cons
What's included in each plan, and how the tiers compare.
Free
$0.15/1M input, $0.50/1M output
$0.22/1M input, $0.85/1M output
Developers and researchers who want full control over their AI models and infrastructure
Respan provides comprehensive observability for applications built on Llama models. Whether self-hosted or accessed via API, Respan tracks inference quality, latency, and cost across Llama deployments, helping teams optimize their open-source AI stack.
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Last verified: March 1, 2026