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PydanticAI vs OpenAI Agents SDK
Trust Score comparison · March 2026
VS
Trust Score Δ
2
🏆 OpenAI Agents SDK wins
Signal Comparison
180k / wkPyPI downloads120k / wk
290 commitsCommits (90d)180 commits
9k ★GitHub stars6k ★
80 q'sStack Overflow50 q's
GrowingCommunityGrowing
PydanticAIOpenAI Agents SDK
Key Differences
| Factor | PydanticAI | OpenAI Agents SDK |
|---|---|---|
| License | MIT | MIT |
| Language | Python | Python |
| Hosted | Self-hosted | Self-hosted |
| Free tier | — | — |
| Open Source | ✓ Yes | ✓ Yes |
| TypeScript | — | — |
Pick PydanticAI if…
- You want full type safety and IDE autocompletion for agent code
- Structured output validation is critical for your pipeline
- Teams already using Pydantic and FastAPI who want familiar patterns
Pick OpenAI Agents SDK if…
- Building production agents on OpenAI models with minimal framework overhead
- Multi-agent workflows with structured handoffs between specialized agents
- You want first-party support and deep OpenAI platform integration
Side-by-side Quick Start
PydanticAI
from pydantic_ai import Agent
from pydantic import BaseModel
class Response(BaseModel):
answer: str
confidence: float
agent = Agent('openai:gpt-4o', result_type=Response)
result = agent.run_sync('What is 2+2?')
print(result.data.answer)OpenAI Agents SDK
from agents import Agent, Runner
agent = Agent(
name="Assistant",
instructions="You are a helpful assistant.",
model="gpt-4o",
)
result = Runner.run_sync(agent, "What is the capital of Japan?")
print(result.final_output)Community Verdict
Based on upvoted notes🏆
OpenAI Agents SDK wins this comparison
Trust Score 84 vs 82 · 2-point difference
OpenAI Agents SDK leads on Trust Score with stronger signal data across downloads and community health. That said, the other tool is worth considering if your use case matches its specific strengths above.