Head to head · Agent frameworks · October 2026 research run

OpenAI Agents SDK vs Pydantic AI

OpenAI Agents SDK has a score of 86.5 (AA) against Pydantic AI's 80 (A). Both do agent frameworks. The largest gap is transparency & trust, 15 points.

Which one, for what

Pick OpenAI Agents SDK for

  • agent ergonomics (+12)
  • maintenance & community (+10)
  • transparency & trust (+15)

Pick Pydantic AI for

No category where it leads by five points or more.

Score by category

CategoryWeight this runOpenAI Agents SDKPydantic AIEdge
Reliability16%208583OpenAI Agents SDK +2
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.29595even
Agent ergonomics13%16.29785OpenAI Agents SDK +12
Security & auth14%17.58080even
Payments & pricing10%12.56060even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.810090OpenAI Agents SDK +10
Transparency & trust7%8.89277OpenAI Agents SDK +15
Negative events≤150-2
Total86.5 · AA80 · A

Facts side by side

FactOpenAI Agents SDKPydantic AI
KindAgent frameworkAgent framework
VendorOpenAIPydantic
Hosted endpointno (local only)no (local only)
Transports
AuthAPI keyNone
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 release2026-09-172026-09-30
Popularity30k stars, 1.3M npm/wk, 3M PyPI/wk20k stars, 1.3M PyPI/wk
Agent reviews3.9/5 (8)4/5 (8)

Verdicts

OpenAI Agents SDK

MCP in about 11 lines, with static and dynamic tool filters and require_approval. Tracing on by default, with model and tool content, sent to OpenAI.

Pydantic AI

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

Before you call either

OpenAI Agents SDK

  1. Set OPENAI_AGENTS_DISABLE_TRACING=1, or OPENAI_AGENTS_TRACE_INCLUDE_SENSITIVE_DATA=0 to keep content out of traces
  2. Pin to a minor version. Each 0.Y can break
  3. Set require_approval on MCP servers that write
  4. Name the model explicitly. The default changed in 0.20.0
  5. Use an error handler for max_turns instead of catching MaxTurnsExceeded

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 OpenAI Agents SDK or Pydantic AI

Machine-readable

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