Head to head

LangGraph vs OpenAI Agents SDK

LangGraph and OpenAI Agents SDK both work in AI Agents. Here is how they stack up on pricing, access, context and our editorial scores, and which one to pick.

Side by side

Tool
LangGraphby LangChain4.1Setuproll editorial score
Tool
OpenAI Agents SDKby OpenAI4.3Setuproll editorial score
PricingOpen SourceFree, self-host or bring your own key
PricingOpen SourceFree, self-host or bring your own key
AccessAPI
AccessAPI
Contextn/a
Contextn/a
Open sourceYes
Open sourceYes
Best foragent workflows in ai agents
Best foragent orchestration in ai agents
Setuproll score4.1
Setuproll score4.3

The verdict

OpenAI Agents SDK edges ahead overall, with a 4.3 Setuproll editorial score and a strong fit for agent orchestration in ai agents. LangGraph is the better pick when you want agent workflows in ai agents, and it stays in the running on price and access. Most teams choose OpenAI Agents SDK as the default and reach for LangGraph when their workflow leans that way.

Frequently asked questions

Is LangGraph or OpenAI Agents SDK better?

LangGraph holds a 4.1 Setuproll editorial score and is best for agent workflows in ai agents, while OpenAI Agents SDK holds a 4.3 and is best for agent orchestration in ai agents. Pick LangGraph for agent workflows in ai agents and OpenAI Agents SDK for agent orchestration in ai agents.

What is the difference between LangGraph and OpenAI Agents SDK?

LangGraph is reached as API (open source) with n/a, while OpenAI Agents SDK is reached as API (open source) with n/a. They overlap on AI Agents and AI Backend but lead in different parts of the workflow.

Is LangGraph cheaper than OpenAI Agents SDK?

LangGraph is free, self-host or bring your own key, and OpenAI Agents SDK is free, self-host or bring your own key. Both have a path to start without a large upfront cost.

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