Quick answer

OpenAI Operator and Anthropic Computer Use both let an AI control your computer — see the screen, move the cursor, click, type. Operator is a hosted browser agent ($200/month with ChatGPT Pro) that excels at well-defined web tasks like flight booking, form filling, and shopping. Computer Use is an API ($15-$75 per million tokens via Claude) that controls a real desktop and is better for complex multi-app workflows. Both are still unreliable for anything novel — success rates of 50–75% on real tasks. Treat them as productivity helpers, not autonomous workers.

For two years, AI agents were demos. In mid-2026 they finally became products you can use. OpenAI Operator and Anthropic Computer Use are the two that matter most — both ship from frontier labs, both control your computer, both have actual users complaining about real bugs on Twitter. We ran them both for a week on the same tasks. Here is the honest comparison.

What each one actually does

OpenAI Operator is a hosted browser agent. You tell it a goal in natural language ("book a flight to Lisbon on July 12 under $600 and pay with my saved card") and it opens a browser inside OpenAI's cloud, clicks through websites, and gets it done. You watch on a live video stream. Comes bundled with ChatGPT Pro ($200/month).

Anthropic Computer Use is an API. You write code that runs Claude with screen-capture and input-control tools enabled. Claude sees screenshots of your real desktop, decides what to click or type, and emits actions your code executes locally. Pricing is the standard Claude API rate ($15 input / $75 output per million tokens for Opus 4.8, or much less for Sonnet/Haiku). No hosted UI — you build the agent loop yourself.

What we tested

  • Book a flight to a specific date and budget
  • Fill out a 12-field web form from a CSV row
  • Order groceries through Instacart based on a recipe
  • Cross-reference data between Google Sheets and Notion
  • Find and apply to 10 job postings matching a CV
  • Pull a number out of a PDF and paste it into the right cell

What worked, what failed

Operator nailed the flight booking and the Instacart task — they are exactly the kind of "navigate a familiar website" jobs it is tuned for. It struggled with the cross-app Sheets-to-Notion task because it lives in a single browser session and could not cleanly handle two tabs requiring different logins. The job-application task partially worked — it filled most forms but stalled on three sites with bot-detection captchas.

Computer Use was the inverse. It dominated the Sheets-to-Notion task because it can drive your real desktop with two apps open simultaneously. It also nailed the PDF-to-cell task. It struggled with Instacart — too many dynamic page loads, too much ambiguity. Booking the flight worked but slower than Operator, because Computer Use is reasoning about pixel coordinates and Claude takes a moment to deliberate on each click.

Headline reliability number: Operator finished 4 of 6 tasks in our test with no human intervention. Computer Use finished 4 of 6 — but a different 4. They are complementary, not redundant. Operator wins on common web tasks; Computer Use wins on cross-app desktop workflows.

What both still fail at

  • Anything requiring real human judgement (which insurance plan, which candidate to interview)
  • Long-running tasks (more than ~15 minutes — both lose context)
  • Sites with aggressive bot detection (LinkedIn, Cloudflare-protected forms)
  • Tasks needing exact precision (entering banking details, medical records)
  • Novel workflows the model has never seen anything similar to

Pricing — the real bills

Operator: $200/month for ChatGPT Pro, with usage limits on long tasks. Practical cost: predictable, but only worth it if you use Pro for other reasons too.

Computer Use: API pricing per token. In our testing, a typical 10-minute task burned roughly $0.50–$2.00 with Claude Sonnet 4.6, or $3–$8 with Opus 4.8. Long-running agentic loops can spike — a confused agent retrying actions can burn $20 in 30 minutes. Set spending caps.

Who should use which?

  • Use Operator if: you live in web apps, want a hosted product, do not want to write code
  • Use Computer Use if: you work across multiple desktop apps, want to build automation into your own product, are comfortable in Python
  • Use neither if: you need 99% reliability — both top out around 75% on real tasks
  • Use both: each handles a different class of work, the smart move is to learn when to reach for each

The bigger picture

For the first time, "AI agent that controls your computer" is a real product category, not a tech demo. The economics work for narrow tasks. The reliability does not work yet for general assistant work. Expect the next 12 months to push reliability from 75% toward 90% on familiar tasks, while novel-task performance stays roughly flat. That is the steady, incremental march we are now in.

Related reading

The State of AI Agents in 2026 — Why They Still Mostly Don't Work What Is Anthropic Computer Use? Claude Can Now Control Your Computer AI Agent Platforms in 2026 — Lindy, Devin, Browser-Use Explained Claude Opus 4.8 Released — What's New and Should You Switch?

Bottom line

OpenAI Operator wins for hosted browser automation. Anthropic Computer Use wins for cross-app desktop workflows you build into your own product. Both top out around 75% reliability on real tasks. Neither is autonomous in the "set it and forget it" sense. But this is the first time we can recommend either of them for actual work — and that is a real shift.