Computer Use Implementations

Several major implementations of computer use are available as of 2025–2026, ranging from Anthropic's API-level Claude Computer Use to open-source browser automation libraries. This page compares them on reliability, cost, and integration.

Anthropic Claude Computer Use

Claude Computer Use (launched October 2024) is available as a beta API capability in Claude Sonnet and Opus models. It provides three built-in tools:

• computer — Screenshot, click, type, scroll, key press
• bash — Execute shell commands in the environment
• text_editor — View and edit files

import anthropic

client = anthropic.Anthropic()

response = client.beta.messages.create(
    model="claude-sonnet-4-5",
    max_tokens=1024,
    tools=[
        {"type": "computer_20241022", "name": "computer", "display_width_px": 1024, "display_height_px": 768, "display_number": 1},
        {"type": "bash_20241022", "name": "bash"},
        {"type": "text_editor_20241022", "name": "str_replace_editor"},
    ],
    messages=[{"role": "user", "content": "Open Firefox and go to google.com"}],
    betas=["computer-use-2024-10-22"],
)

Claude receives screenshots automatically after each action. The control loop must be implemented in your code — Claude returns actions; your code executes them and feeds back screenshots.

Strengths: Best instruction-following quality; reliable at complex multi-step tasks; handles error recovery well; integrated with Claude's reasoning.
Limitations: Beta; must run your own sandboxed environment.

OpenAI Operator

Operator is OpenAI's consumer-facing computer use agent, embedded in ChatGPT. Available to ChatGPT Plus/Pro subscribers, it autonomously browses the web and completes tasks like booking reservations, filling forms, and shopping.

Key characteristics:

• Consumer product, not a developer API (as of 2025)
• Runs in OpenAI's sandboxed cloud browser
• Supports approval gates before consequential actions (e.g., placing orders)
• Built on CUA (Computer Use Agent) model, OpenAI's dedicated computer use model
• Strong performance on web tasks; weaker on desktop applications

Amazon Nova Act

Amazon Nova Act SDK (launched March 2025) focuses on web automation via an AI-controlled browser, built on Bedrock:

• ScreenSpot Web Text score: 93.9% — highest of any implementation at benchmark time
• Python SDK with Playwright browser integration
• AWS Bedrock integration — uses IAM auth, works within VPC
• Higher-level abstraction: agents can call act("book the first available slot")and the SDK handles the low-level computer use loop
• Best for AWS-native teams automating web workflows with enterprise compliance needs

from nova_act import NovaAct

client = NovaAct(starting_page="https://www.example-scheduler.com")
with client.start():
    result = client.act("Log in with user@company.com and book the next available appointment")

Browser Use

Browser Use is a popular open-source Python library for building AI-controlled browser automation:

• Playwright-based; supports Chromium, Firefox, Safari
• Works with any LLM that supports vision (Claude, GPT-4o, Gemini)
• Simple agent loop with customisable actions
• Open-source; run locally or in cloud
• Good for teams wanting control over the full automation stack

from browser_use import Agent
from langchain_anthropic import ChatAnthropic

agent = Agent(
    task="Find the cheapest flight from NYC to London next month",
    llm=ChatAnthropic(model="claude-sonnet-4-5"),
)
result = await agent.run()

Open Interpreter

Open Interpreter is an open-source project that gives LLMs code execution access and optionally computer control:

• Runs locally on your machine (no cloud required)
• Executes Python, shell, JavaScript natively
• Optional computer use mode with screenshot + control
• Works with local models (Ollama) or cloud APIs
• Best for technical users wanting a local AI assistant with full computer access

Benchmark Comparison

Cost Comparison

Every action requires at minimum one screenshot (vision model call). Typical costs:

• Claude Sonnet screenshot: ~$0.003–0.005 per image (depending on resolution)
• A 30-action task: ~$0.09–0.15 in vision tokens + any generation tokens
• GPT-4o vision: similar pricing to Claude
• Open-source (Browser Use + local model): near-zero API cost; higher latency

Checklist: Do You Understand This?

• What three tools does Claude Computer Use provide?
• What makes Amazon Nova Act notable on benchmarks?
• What is the key difference between OpenAI Operator (product) and Claude Computer Use (API)?
• What is Browser Use and when would you use it over Claude Computer Use?
• How do you estimate the cost of a computer use task?