OpenAI Agents SDK vs Claude Agent SDK

Two different mental models

The OpenAI Agents SDK thinks "OpenAI-native runtime with handoffs." You define Agents, set up handoffs between them, add guardrails, and tracing ships by default. Hosted tools (web search, code interpreter, file search) are first-class because they are OpenAI features.

The Claude Agent SDK thinks "Claude-native tool-use loop." You define an agent, give it tools, and let Claude reason in long context. It packages the same loop that powers Claude Code -- context management, MCP, subagents, hooks, and a permission system. The mental model is closer to one capable agent with rich tools than a fleet of agents handing off work.

If your stack is OpenAI-shaped and the work emphasizes handoffs or OpenAI-hosted tools, that is OpenAI SDK shaped. If your stack is Anthropic-shaped and the work emphasizes MCP, hooks, permissions, or subagents, that is Claude SDK shaped.

Use cases: when each one wins

The OpenAI Agents SDK fits customer-support triage (a router agent hands off to specialists by intent), compliance-bound assistants where guardrails enforce policy before any tool call, workflows built on OpenAI hosted tools (web search, code interpreter, file search), production OpenAI-only backends where tracing ships by default, and handoff / multi-agent patterns with native primitives.

The Claude Agent SDK fits tool-heavy loops built on MCP, hooks, permissions, sessions, and subagents, plus Anthropic-aligned coding or automation agents. The application still owns the execution environment and must validate model behavior on its own tasks.

Learning curve

The OpenAI Agents SDK centers Agent, Runner, tools, handoffs, guardrails, sessions, RunState, and tracing. Hosted tools and OpenAI tracing create deliberate coupling to OpenAI conventions.

The Claude Agent SDK centers Claude-compatible tool loops, MCP, hooks, permissions, sessions, and subagents. Its coupling is similarly deliberate. If you have not committed to a provider, test both on representative tasks and include migration surface in the decision.

Pricing comparison

The SDK libraries do not remove model, hosted-tool, storage, or infrastructure charges. The OpenAI Agents SDK includes tracing primitives and dashboard integration; the Claude Agent SDK exposes hooks and session controls, while application-level observability remains deployment-specific. Verify each repository license and current API pricing before adoption.

Total cost depends on model rates, calls, context strategy, caching, tools, and workflow topology. Neither SDK guarantees a cost advantage, and migration effort depends on how deeply the application adopts vendor-specific tools and execution semantics.

Final verdict

These are vendor-native SDKs. The right call begins with the provider commitment and the control primitives the application needs. OpenAI-aligned stacks that value handoffs, guardrails, serializable RunState, sessions, and hosted tools should evaluate the OpenAI Agents SDK. Anthropic-aligned stacks that value MCP, hooks, permissions, sessions, and subagents should evaluate the Claude Agent SDK.

Meta-recommendation: picking a vendor SDK is picking a vendor. Benchmark the model on your task first -- the SDK is the easy part. When portability matters, neither vendor SDK fits; reach for a third-party framework (CrewAI, LangGraph, AutoGen) that calls both OpenAI and Claude models underneath.