Llama Stack vs OpenAI Agents SDK: Agent Frameworks Comparison
Compare Llama Stack and OpenAI Agents SDK side by side. Both are tools in the Agent Frameworks category.
Updated March 10, 2026
The short answer
Choose Llama Stack if completely free and open-source framework with permissive licensing.
Choose OpenAI Agents SDK if completely free and open-source SDK.
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Quick Comparison
| Category | Agent Frameworks | Agent Frameworks |
| Website | github.com | github.com |
Pros & Cons: Llama Stack vs OpenAI Agents SDK
- +Completely free and open-source framework with permissive licensing
- +Unified APIs across multiple service providers simplify deployment
- +Recent 50 percent pricing reductions make models more cost-effective
- +Strong backing from Meta with partnerships across major tech companies
- −Setup and configuration complexity with build failures reported
- −Documentation gaps lead to import errors and confusion
- −Windows compatibility issues limit platform support
- −Lack of security policies may concern enterprise users
- +Completely free and open-source SDK
- +Lightweight architecture with minimal learning curve
- +Production-ready from launch with proven enterprise adoption
- +Handles 80 percent of use cases without complexity
- −API usage costs can escalate quickly with complex agent workflows
- −Less suitable for workflows requiring deep customization
- −Tightly coupled to OpenAI ecosystem
- −Simpler than LangGraph which may limit advanced use cases
Pricing: Llama Stack vs OpenAI Agents SDK
- · MIT licensed framework
- · Self-hosted deployment
- · Community support
- · Full API access
- · Smallest model
- · Cost-effective
- · Production ready
- · Mid-tier model
- · Balanced performance
- · Most capable
- · 1M token context
- · Advanced reasoning
- · Open-source framework
- · Four core primitives
- · Production-ready
- · Full documentation
- · Model-specific pricing
- · GPT-5.4 from USD 2.50/M tokens
- · Flexible scaling
- · No minimum commitment
How to Choose a Agent Frameworks Tool
Key criteria to evaluate when comparing Agent Frameworks solutions:
About Llama Stack
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.
About OpenAI Agents SDK
The OpenAI Agents SDK is a production-ready framework launched in March 2025 as an evolution of OpenAI experimental Swarm project, which was widely adopted by the developer community. The SDK is completely free and open-source, though users pay for actual API usage when utilizing OpenAI hosted models. Built with a lightweight architecture featuring just four core primitives, the SDK makes it immediately accessible to developers familiar with OpenAI ecosystem. The framework requires only a few lines of code to get started and handles 80 percent of agent use cases with minimal overhead. Major companies like Coinbase used the Agents SDK to quickly prototype and deploy AgentKit for crypto wallet interactions. The SDK supports various real-world applications including customer support automation, multi-step research, content generation, code review, and sales prospecting. While the SDK itself is free, costs depend on token usage of the underlying models, with prices varying from USD 2.50 per million tokens for GPT-5.4 and higher. The OpenAI SDK is ideal for rapid development, while alternatives like LangGraph suit complex workflows requiring deep customization.
What is Agent Frameworks?
Developer frameworks and SDKs for building autonomous AI agents with tool use, planning, multi-step reasoning, and orchestration capabilities.
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