Loading tool details…
Compare listed plans and check current offer terms with Llama Stack
The catalog lists this free option; confirm its current limits and eligibility with Llama Stack
💡 Pro tip: Start with the free tier to test if Llama Stack fits your workflow before upgrading to a paid plan.
per month
per month
This guide does not establish that Llama Stack has an active coupon, education discount, or seasonal promotion. Confirm current offers on the vendor's website before paying.
If Llama Stack's pricing doesn't fit your budget, consider these ai agent builders alternatives:
The industry-standard framework for building production-ready LLM applications with comprehensive tool integration, agent orchestration, and enterprise observability through LangSmith.
Free tier available
✓ Free plan available
Ollama review for local AI models: CLI, private model running, cloud plans, pricing, pros, cons, and best developer use cases.
Free tier available
✓ Free plan available
GPU cloud and inference platform for open-source LLMs — fast, low-cost APIs for Llama, DeepSeek, Qwen, Mistral, plus fine-tuning and dedicated endpoints.
Starting at $0.02/1M tokens
Yes. The listed URL is https://github.com/meta-llama/llama-stack, the official public GitHub repository for Llama Stack. This revised listing is based on the Llama Stack identity rather than unrelated Open GenAI Stack repository data.
Llama Stack provides standardized APIs and composable building blocks for Llama application development, including inference, agents, tools, safety, retrieval, evaluation, and provider-based distributions. It is intended for developers building AI applications that need consistent behavior across local, hosted, and production environments.
Yes. The public repository has a $0 listed software price, self-hosted use has a $0/month Llama Stack fee, and no fixed SaaS subscription tiers are listed in the repository. Deployment costs may still apply for compute, GPUs, hosting, model providers, vector databases, storage, observability, and engineering operations.
Llama Stack is best suited for developers, AI engineers, and platform teams that want standardized infrastructure for building Llama-based AI applications and agents. It is less appropriate for business users who need a finished no-code product with packaged onboarding, billing, and support.
Teams should evaluate Llama Stack as an open-source framework and API layer rather than a hosted agent workspace. Compare its provider matrix, distribution model, SDK support, documentation, license terms, deployment requirements, and operational complexity against alternatives such as LangChain, Ollama, Together AI, and OpenAI Agents SDK.
Start with the free tier and upgrade when you need more features
Get Started with Llama Stack →Listed prices may change. Confirm current prices and offer terms with the vendor.