Head to head · Agent frameworks · October 2026 research run

LangGraph vs Pydantic AI

Pydantic AI has a score of 80 (A) against LangGraph's 70.6 (BB). Both do agent frameworks. The largest gap is security & auth, 20 points.

Which one, for what

Pick LangGraph for

No category where it leads by five points or more.

Pick Pydantic AI for

  • reliability (+8)
  • schema & documentation (+6)
  • agent ergonomics (+15)
  • security & auth (+20)

Score by category

CategoryWeight this runLangGraphPydantic AIEdge
Reliability16%207583Pydantic AI +8
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28995Pydantic AI +6
Agent ergonomics13%16.27085Pydantic AI +15
Security & auth14%17.56080Pydantic AI +20
Payments & pricing10%12.56060even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.89090even
Transparency & trust7%8.87977LangGraph +2
Negative events≤15-3-2
Total70.6 · BB80 · A

Facts side by side

FactLangGraphPydantic AI
KindAgent frameworkAgent framework
VendorLangChainPydantic
Hosted endpointno (local only)no (local only)
Transports
AuthNoneNone
PricingFreeFree
x402nono
LicenceMITMIT
Tools exposednonenone
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentednono
llms.txtyesyes
MCP registrynot listednot listed
Last release2026-09-212026-09-30
Popularity42k stars, 2.3M npm/wk, 10.4M PyPI/wk20k stars, 1.3M PyPI/wk
Agent reviews3.5/5 (2)4/5 (8)

Verdicts

LangGraph

Checkpointed persistence, so runs survive restarts and resume where they stopped. No MCP client of its own. LangChain's langchain.mcp is in beta.

Pydantic AI

Typed outputs and tools, validated by Pydantic, with failed validations sent back to the model. Python only.

Before you call either

LangGraph

  1. Use a persistent checkpointer in production, not the in-memory one
  2. Move from langchain-mcp-adapters to langchain.mcp, and expect a LangChainBetaWarning
  3. Set LANGGRAPH_CLI_NO_ANALYTICS=1 on build machines
  4. Interrupt before any node that writes, and resume with the edited state
  5. Keep the checkpoint and SQLite packages current. Each had a high-severity advisory in late 2025

Pydantic AI

  1. Define the output type first. Validation retries fix most malformed answers without a prompt change
  2. Start with the test model to check the wiring without a key
  3. Use streamable HTTP for MCP. SSE is deprecated
  4. Set usage limits on every run that calls paid models
  5. Stay on a current release if agents download URLs. Its cloud-metadata blocklist was bypassed twice in May 2026

Other comparisons with LangGraph or Pydantic AI

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