Open Source
Free
- MIT licensed framework
- Self-hosted deployment
- Community support
- Full API access
Llama Stack is Meta open-source framework that defines and standardizes core building blocks for AI application development, providing a unified set of APIs with implementations from leading service providers. Launched to simplify deployment across different providers, Llama Stack collaborates with partners including NVIDIA NeMo microservices, IBM, Red Hat, and Dell Technologies. The framework is completely free and open-source under Meta permissive licensing, with costs only for API usage when using hosted Llama models through cloud providers. Pricing varies by model and provider: Llama 3.1 8B Instruct starts at USD 0.020/USD 0.050 per million tokens (input/output), Llama 4 Scout at USD 0.0800 per million tokens, and Llama 4 Maverick at USD 0.150/USD 0.600 per million tokens. Recent pricing reductions include 50 percent cuts for Llama 3.1 405B and Llama 3.3 70B models. While the project shows robust community activity and regular engagement calls, developers report challenges including setup and configuration complexity, build failures, import errors suggesting documentation gaps, Windows compatibility issues, and lack of security policies.
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
$0.020/0.050
Per 1M tokens (input/output)
$0.0800
Per 1M tokens
$0.150/0.600
Per 1M tokens
Llama Stack and Respan enable open-source AI development with monitoring. Build with Llama Stack while tracking model costs with Respan.
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Side-by-side comparisons with other tools in this category.
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Last verified: March 10, 2026