Comparison · Updated 2026-06-21
OpenAI Agents SDK vs Claude Agent SDK
Two official vendor agent runtimes, both released in the last 12 months, both small enough to read in a sitting. The OpenAI Agents SDK is the OpenAI-native runtime: Agents, handoffs, guardrails, tracing, and tight integration with OpenAI's hosted tools (web search, code interpreter, file search). The Claude Agent SDK is the Anthropic-native runtime: a focused tool-use loop, computer-use integration, and agentic patterns shaped by Claude's long-context strengths. Picking the wrong one is mostly about which provider you have committed to: both lock in their own model family by design. This is the honest side-by-side for teams choosing between them.
OpenAI Agents SDK
Official OpenAI-native agent runtime. Agents, handoffs, guardrails, and tracing -- tight integration with OpenAI's native tool calls and hosted features.
See alternatives →Claude Agent SDK
Official Anthropic-native agent runtime. A focused tool-use loop, computer-use integration, and agentic patterns shaped by Claude's long-context strengths.
See alternatives →The short answer
- Winner if you have committed to OpenAI: OpenAI Agents SDK. Native hosted tools and tracing.
- Winner if you have committed to Anthropic: Claude Agent SDK. Computer-use and long-context primitives.
- Winner for hosted tools out of the box: OpenAI Agents SDK.
- Winner for computer-use agents: Claude Agent SDK.
- Best for: match the SDK to the provider; pick a third-party framework if portability matters.
Snapshot comparison
Before the section-by-section breakdown, the one-screen version.
| Dimension | OpenAI Agents SDK | Claude Agent SDK |
|---|---|---|
| Primary shape | OpenAI-native agent runtime | Anthropic-native agent runtime |
| Audience | OpenAI-committed engineers | Anthropic-committed engineers |
| License | MIT | MIT |
| Maintainer | OpenAI | Anthropic |
| Model coverage | OpenAI-first | Anthropic-first |
| Tool calls | Native, hosted tools | Native, sharper loop |
| Guardrails | First-class | Patterns + prompt-side |
| Tracing / observability | Built-in | BYO |
| Computer-use integration | Computer-Using Agent | First-class |
| Long-context workloads | 200K context | 200K-1M context |
| Handoffs / multi-agent | Native handoffs | Patterns + DIY |
| Vendor lock-in | High (OpenAI) | High (Anthropic) |
| Best for | OpenAI-native handoff agents | Claude-native tool/computer-use agents |
Two different mental models
The right SDK depends on which of these reads like your stack.
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.
Claude Agent SDK thinks "Claude-native tool-use loop". You define an agent, give it tools, and let Claude reason in long context. Computer use is integrated. The mental model is closer to a single capable agent with rich tools than to a fleet of agents handing off work.
If your stack is OpenAI-shaped and the work is triage / handoff / hosted-tool flavoured, that is OpenAI SDK shaped. If your stack is Anthropic-shaped and the work is long-context reasoning or computer use, that is Claude SDK shaped.
Use cases -- when each one wins
OpenAI Agents SDK fits when
- Customer support triage. Router agent hands off to specialist agents based on intent.
- Compliance-bound assistants. Guardrails enforce policy before any tool call.
- Workflows using OpenAI hosted tools. Web search, code interpreter, file search.
- Production OpenAI-only backends. Tracing ships by default.
- Handoff/multi-agent patterns. Native primitives.
Claude Agent SDK fits when
- Computer-use agents. Driving a browser or desktop is first-class.
- Long-context reasoning. Whole codebases or large documents in one prompt.
- Tool-heavy single-agent loops. One capable agent with rich tools.
- Anthropic-only production backends. Match the SDK to the provider.
- Coding agents. Claude\'s code-shaped strengths land cleanly.
Learning curve
OpenAI Agents SDK has more examples and community answers. The Agent class, handoffs, and guardrails fit in a single tutorial. The cost is conceptual lock-in: hosted tools and OpenAI tracing make moving providers a rewrite.
Claude Agent SDK is tighter and newer. Fewer examples, cleaner primitives, faster ramp once the official docs land. The lock-in is symmetric: the SDK is Claude-shaped by design.
Practical rule: if you are already paying one vendor most months, their SDK is a free upgrade. If you have not committed, pick by which model family wins on your benchmark.
Pricing comparison
Both libraries are free. Model inference and hosted tools drive the bill.
| Cost line | OpenAI Agents SDK | Claude Agent SDK |
|---|---|---|
| Framework licence | Free (MIT) | Free (MIT) |
| Self-hosting | Any Python / Node host | Any Python / Node host |
| Model inference | OpenAI pay-per-token | Anthropic pay-per-token |
| Hosted tools | Pay-per-call (web search, code int.) | Tools are BYO or Anthropic-hosted |
| Tracing / observability | Built-in | BYO (LangSmith, Helicone, etc.) |
| Typical agent task (per 1k tasks) | ~$5-30 on GPT-4o-mini | ~$8-40 on Claude Haiku/Sonnet |
| Long-context bias | Cheaper short prompts | Cheaper long-context reasoning |
| Hidden costs | OpenAI lock-in | Anthropic lock-in |
The pattern: licence cost is zero. Per-token rates differ; total cost is driven by the shape of the agent loop more than per-token price. Both SDKs are cheap to adopt and expensive to leave.
Final verdict
These are vendor-native SDKs. The right call comes down to two questions: which provider have you committed to, and is the work computer-use / long-context shaped or triage / hosted-tool shaped?
- OpenAI-committed stack, triage/handoff workloads: OpenAI Agents SDK wins. Native features ship by default.
- Anthropic-committed stack, long-context or computer-use workloads: Claude Agent SDK wins. Computer use is integrated; long context is the home turf.
- Cross-provider needs: a third-party framework (CrewAI, LangGraph, AutoGen) calling both OpenAI and Claude models. Neither vendor SDK fits when portability matters.
Meta-recommendation: picking a vendor SDK is picking a vendor. Benchmark the model on your task first; the SDK is the easy part. The wider landscape is in the AI Agent Frameworks pillar; the deeper shortlists are best OpenAI Agents SDK alternatives and best Claude Agent SDK alternatives.
Related guides
Related alternatives
Next read
FAQ
- OpenAI Agents SDK vs Claude Agent SDK -- which one should I pick?
- Pick the SDK that matches the model you have committed to. OpenAI Agents SDK is the official OpenAI-native runtime: Agents, handoffs, guardrails, tracing, hosted tools. Claude Agent SDK is the official Anthropic-native runtime: a sharper tool-use loop, computer-use integration, and Claude-shaped agentic patterns. They are official vendor SDKs that lock in their own provider.
- Is Claude Agent SDK newer than OpenAI Agents SDK?
- Yes. Anthropic released the Claude Agent SDK after OpenAI shipped its Agents SDK and Responses API. The Claude SDK leans on Claude's strengths -- long-context reasoning, computer use, and structured tool calls -- while OpenAI's SDK leans on hosted tools, native function calling, and tracing infrastructure.
- Is one SDK easier to learn than the other?
- Both are small, focused libraries with excellent official docs. The OpenAI SDK has been around longer, with more community examples. The Claude SDK is tighter and reflects newer agentic patterns. For a first-time agent engineer, the OpenAI SDK has more StackOverflow answers; the Claude SDK has cleaner primitives.
- How do token costs compare?
- Different per-token rates and different context windows. Claude tends to win on long-context workloads where you keep the full transcript in the prompt; OpenAI tends to win on tighter, tool-heavy loops. Both are pay-per-token; the orchestration shape (handoffs vs tool loop) drives total cost more than per-token price.
- Can I use OpenAI Agents SDK and Claude Agent SDK together?
- Rarely worth the friction -- they are competing vendor-native orchestration layers. The cleaner cross-provider pattern is a provider-agnostic framework (CrewAI, LangGraph, AutoGen) that calls both OpenAI and Claude models underneath.
- Are OpenAI Agents SDK and Claude Agent SDK open source?
- Yes -- both are MIT-licensed. OpenAI ships Python and TypeScript SDKs; Anthropic ships Python and TypeScript SDKs. Both are open source clients to closed-weights commercial models.
- Which one wins for computer-use agents?
- Claude Agent SDK -- by design. Anthropic's computer-use capability is integrated at the SDK level. OpenAI has its own equivalent (Computer-Using Agent) but the Claude SDK ergonomics are tighter for agents that drive a browser or desktop.
- When does OpenAI Agents SDK beat Claude Agent SDK outright?
- When you need OpenAI's hosted tools (web search, code interpreter, file search) as first-class primitives and built-in tracing without standing up your own observability. The OpenAI SDK is the most batteries-included option in this category.