Comparison · AI agent frameworks and tooling

LangGraph vs Pydantic AI: which is better in 2026?

LangGraph ranks higher in our list of AI agent frameworks and tooling (#2 against #4, score 90.5 against 86.5).

How we rank Share

  • 90.5
    Editorial score
    86.5
  • 1
    Platforms
    3
  • Yes
    Free to use
    Yes
  • Yes
    Open source
    Yes

Which should you choose?

Choose LangGraph if you want

Stateful agents that need explicit control of each step.

MIT-licensed graph runtime for agents, with durable state and human pauses, from the LangChain team. It sits under LangChain here as the lower-level layer, and LangSmith hosting is a separate paid service.

Choose Pydantic AI if you want

Typed Python agents for Pydantic users.

Typed Python agents with OpenTelemetry tracing and an MIT license. Tracing is easiest with the separate Logfire service, and the library suits teams already using Pydantic.

The main differences

  • Only Pydantic AI runs on Linux.
  • Only Pydantic AI runs on Windows.
  • Only Pydantic AI runs on macOS.

Side by side

LangGraphPydantic AI
Score90.586.5
Rank in list#2 of 12#4 of 12
PriceFree and open sourceMIT-licensed library is free; LangSmith hosting is a separate paid serviceFree and open sourceMIT-licensed and free; the optional Pydantic Logfire tracing service has a free tier
Free to useYesYes
Open sourceYesYes
PlatformsSelf-hostedSelf-hostedWindowsmacOSLinuxWindows, macOS, Linux
Made byLangChainPydantic
LanguagePythonPython
Agent approachGraph of steps with stateTyped agents and structured outputs
Paid hosted serviceLangSmith paid plansLogfire, free tier
Best forStateful agents that need explicit control of each stepTyped Python agents for Pydantic users
Strengths
  • MIT-licensed library with durable execution
  • Explicit state graphs for controlling each step
  • Human-in-the-loop pauses built in
  • Typed Python across agents and tools
  • MIT licensed with source on GitHub
  • Uses OpenTelemetry for tracing
Limits
  • Lower-level than most frameworks, so simple agents need more code
  • Tracing and deployment need the paid LangSmith service
  • Trace viewing is easiest with Pydantic Logfire, a separate service
  • Best suited to developers who already use Pydantic
LinksVisit site Visit site

Questions about LangGraph vs Pydantic AI

Is LangGraph better than Pydantic AI?
LangGraph ranks higher in our list of AI agent frameworks and tooling (#2 against #4, score 90.5 against 86.5). LangGraph is best for: stateful agents that need explicit control of each step. Pydantic AI is best for: typed Python agents for Pydantic users.
Which is cheaper, LangGraph or Pydantic AI?
LangGraph: MIT-licensed library is free; LangSmith hosting is a separate paid service. Pydantic AI: MIT-licensed and free; the optional Pydantic Logfire tracing service has a free tier.
Do LangGraph and Pydantic AI run on the same platforms?
LangGraph supports Self-hosted. Pydantic AI supports Windows, macOS, Linux.