LangGraph vs Pydantic AI
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. Pydantic AI is completely free, while LangGraph is freemium.
At a glance
Best for
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- Graph-based agent design
- Persistent state
- Human-in-the-loop
- Streaming
- Python and JavaScript
- Typed agent outputs
- Function tools
- Multi-provider support
- MCP support
- Logfire tracing
| Feature | LangGraph | Pydantic AI |
|---|---|---|
| Best for | Low-level framework for building stateful, controllable agents | Type-safe Python agent framework from the Pydantic team |
| Category | Agents & automation | Agents & automation |
| Pricing model | Freemium | Free |
| Starting price | $39/mo | Free |
| Free plan | Yes | Yes, fully free |
| Made by | LangChain | Pydantic |
| Based in | United States | United Kingdom |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
Pydantic AI is completely free, while LangGraph is freemium.
Free plan
Cheapest paid plan
Top plan
Free trial
3 plans
Developer
Free
- 1 seat
- 5k base traces / month, then pay as you go
- Community support
Plus
$39/mo
- Per seat
- 10k base traces / month, then pay as you go
- Access to Deployment and Engine
- Unlimited seats
Enterprise
Custom
- Self-hosted and hybrid deployment
- Custom SSO, ABAC and RBAC
- Support SLA
Prices in USD, checked Oct 28, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
LangGraph
- Fine control over agent behavior
- Strong persistence model
- Widely used in production
- Steeper learning curve
- More code than no-code builders
Pydantic AI
- Strong typing reduces bugs
- Familiar to Pydantic users
- Model-agnostic
- Code-only
- Fewer prebuilt integrations than LangChain
Which one should you choose?
Choose LangGraph if you want:
- Fine control over agent behavior
- Strong persistence model
- Widely used in production
Watch out: steeper learning curve.
Choose Pydantic AI if you want:
- Strong typing reduces bugs
- Familiar to Pydantic users
- Model-agnostic
Watch out: code-only.
LangGraph vs Pydantic AI FAQ
What is the difference between LangGraph and Pydantic AI?
LangGraph: Low-level framework for building stateful, controllable agents. Pydantic AI: Type-safe Python agent framework from the Pydantic team. Both are agents & automation tools.
Is LangGraph or Pydantic AI cheaper?
Pydantic AI is completely free, while LangGraph is freemium.
Do LangGraph and Pydantic AI have free plans?
LangGraph: Yes. Pydantic AI: Yes, fully free.
Who makes LangGraph?
LangGraph is made by LangChain, based in United States.
Who makes Pydantic AI?
Pydantic AI is made by Pydantic, based in United Kingdom.
Which should I choose, LangGraph or Pydantic AI?
Choose LangGraph if you value fine control over agent behavior and strong persistence model. Choose Pydantic AI if you value strong typing reduces bugs and familiar to pydantic users.