API Comparison

The right API for
autonomous agents

Raw LLM APIs give you text generation. Agent frameworks give you orchestration. Computer Agents gives you the full stack: execution, persistence, streaming, and scaling — all managed.

Claude API

Anthropic

  • Direct LLM access with streaming
  • Tool / function calling
  • Prompt caching and batching
  • No execution environment
  • No persistent file storage
  • No multi-turn session state
  • BYO infrastructure for agents

Pay-per-token (input + output)

Claude Code

Anthropic

  • Full code execution with tools
  • Local file system access
  • MCP server support
  • CLI tool, not a cloud API
  • Runs on your machine only
  • No REST API or SDK
  • No scheduling or automation

Requires Anthropic API key

OpenAI Agents SDK

OpenAI

  • Agent orchestration primitives
  • Handoff between agents
  • Guardrails and tracing
  • No cloud execution environment
  • No persistent workspaces
  • BYO infrastructure and hosting
  • OpenAI models only

Open source + OpenAI API costs

Recommended
Computer Agents

Computer Agents

Full managed platform

  • Cloud execution in isolated containers
  • Persistent environments and workspaces
  • Real-time SSE streaming
  • Multi-turn threads with session continuity
  • Built-in skills, triggers, and scheduling
  • TypeScript SDK + REST API
  • Agent orchestration built in
  • Pay-per-token with budget controls

Free tier available · Pro from $19/mo

Why developers choose Computer Agents

Six advantages that set us apart from raw APIs and BYO-infrastructure frameworks.

Managed Execution

No servers to provision. Agents run in isolated cloud containers with full file system, git, and shell access. You send a message, we handle the rest.

Persistent Environments

Workspaces survive across sessions. Install packages once, build context over time. No more re-uploading files or re-running setup scripts.

Real-time Streaming

SSE events for every tool call, file edit, and response chunk. Build responsive UIs that show exactly what your agent is doing in real time.

Multi-turn Threads

Session continuity is built in. Create a thread once and send follow-up messages that pick up where the agent left off — files, context, and all.

Built-in Skills

Web search, image generation, deep research with citations — available out of the box. No custom tool implementations or third-party wiring needed.

Pay-per-token

No idle infrastructure costs. You pay for tokens consumed, not servers running. Built-in budget controls prevent runaway spending.

Feature-by-feature comparison

A detailed breakdown across four platforms covering execution, agent capabilities, DX, and model support.

Featurecomputer agentsClaude APIClaude CodeOpenAI Agents
Execution & Infrastructure
Cloud container execution
Persistent workspaces
File system access
Git operations
Container isolation
Auto-scaling
Agent Capabilities
Multi-turn threads
SSE streaming
Tool / function calling
MCP server integration
Built-in skills (search, images)
Agent-to-agent orchestration
Event-driven triggers
Scheduled execution (cron)
Developer Experience
TypeScript / JavaScript SDK
REST API
Billing API
Open-source SDK
No infrastructure to manage
Model Support
Claude Opus / Sonnet / Haiku
GPT-4o / o1 / o3
Model choice per agent

When to use which

Choose the Claude API if you...

  • Need raw LLM completions without execution
  • Already have your own infrastructure
  • Want maximum control over every request
  • Build chatbots without code execution needs

Choose Claude Code if you...

  • Work locally on your own machine
  • Need a coding assistant in the terminal
  • Want interactive, hands-on pair programming

Choose OpenAI Agents SDK if you...

  • Are locked into the OpenAI ecosystem
  • Want a framework to self-host agents
  • Have existing infrastructure for execution

Choose Computer Agents if you...

  • Need agents that execute code in the cloud
  • Want persistent workspaces across sessions
  • Need scheduling, triggers, and automation
  • Want a managed platform with zero infra
  • Build products powered by autonomous agents

Frequently asked questions

How is this different from just calling the Claude API?

The Claude API gives you text generation — you send a prompt, you get a response. Computer Agents gives you a full execution environment: agents run in isolated containers with file systems, git, shell access, and persistent workspaces. Think of it as Claude API + infrastructure + state management, all in one API call.

Can I use Computer Agents if I already use the Claude API?

Absolutely. Many teams use the Claude API for simple completions and Computer Agents for tasks that need execution, persistence, or automation. They complement each other. Computer Agents uses Claude models under the hood.

Why not just use the OpenAI Agents SDK with my own servers?

You can — but you'll need to build and maintain the execution infrastructure, container management, workspace persistence, streaming, billing, and scaling yourself. Computer Agents handles all of that so you can focus on your agent logic.

What models does Computer Agents support?

Claude Opus 4.6, Sonnet 4.5, and Haiku 4.5. You can choose the model per agent — use Haiku for fast tasks, Sonnet for balanced work, and Opus for complex reasoning.

Is there a free tier?

Yes. You can start for free with no credit card required. The Pro plan ($19/mo) includes a 14-day free trial with full access to scheduling, triggers, orchestration, and all skills.

Ready to build with the
complete agent platform?

Start with the free tier. No credit card required. Deploy your first autonomous agent in minutes.