Computer Use Agent Pricing in 2025: You're Probably Paying 10x Too Much (Or Getting Ripped Off Slowly)

The Dirty Secret About RPA Pricing (UiPath, I'm Looking at You)

Let's start with the legacy players. UiPath built an empire on the promise of automation, and for a while, that promise held. But in 2025, the complaints are everywhere. Hidden fees. Developer bottlenecks. Fragile workflows that break the moment a website changes its button color. The base pricing looks reasonable until you factor in orchestrator licenses, infrastructure costs, maintenance hours, and the dedicated RPA developer you basically have to hire just to keep the bots alive. Enterprise analysts have documented that the total cost of ownership for a mature UiPath deployment can run into the hundreds of thousands annually once you add it all up. And what do you get for that? A brittle script that clicks in a straight line and panics if anything unexpected happens. That's not computer use. That's a very expensive macro. The real kicker is that RPA tools were designed for a world where software interfaces never changed and processes were perfectly predictable. That world doesn't exist. It never did.

Anthropic Computer Use and OpenAI Operator: Smart Tech, Painful Pricing Math

To be clear, Anthropic and OpenAI have built genuinely impressive computer use capabilities. Claude's computer use and OpenAI's Computer-Using Agent (CUA) can both navigate real interfaces, handle unexpected UI states, and reason about what they're seeing. That's a real leap forward. But the pricing model creates a problem that nobody in the press is being honest about. Claude's API pricing runs $3 to $15 per million tokens depending on the model tier, and computer use tasks are token-hungry. An agent navigating a multi-step workflow, taking screenshots, processing visual context, and reasoning about next steps can burn through tokens fast. Reddit threads have documented that API usage for agentic computer use tasks can run 36 times more expensive than subscription-based access for equivalent work. That's not a rounding error. That's a budget line item that will shock your finance team. OpenAI Operator launched as a research preview locked to Pro subscribers at $200 per month, which sounds fine until you realize the task limits are real and the tool still has well-documented reliability issues on complex, multi-step computer use workflows. You're paying premium prices for something that's still figuring itself out.

What 'Computer Use' Actually Needs to Mean to Be Worth the Money

• ●Real desktop control, not just browser automation. If the agent can't touch native apps, terminals, and desktop software, it's solving 30% of the problem.
• ●Reliability that scales. A computer use agent that works 60% of the time isn't a tool. It's a liability that creates more cleanup work than it saves.
• ●Benchmark performance you can actually verify. OSWorld is the industry standard for testing real-world computer use tasks across 369 scenarios. If a vendor can't quote you their OSWorld score, ask why.
• ●Parallel execution. Running one task at a time is barely better than a human. Real throughput comes from agent swarms running dozens of tasks simultaneously.
• ●Transparent, predictable pricing. If you need a spreadsheet and a lawyer to figure out what you'll pay next month, the pricing model is the product, and you're the mark.
• ●BYOK and self-serve options. Enterprise lock-in is a tax. The best computer use AI tools let you bring your own keys and control your own costs from day one.

The Benchmark Nobody's Faking: OSWorld Scores Tell the Real Story

Here's how you cut through the marketing noise. OSWorld is a rigorous, open benchmark that tests AI agents on real computer tasks, things like navigating operating systems, using actual software, handling unexpected states, and completing multi-step workflows without hand-holding. It's hard to game because it tests actual computer use performance, not cherry-picked demos. Anthropic's Claude Sonnet 4.5 scored 61.4% on OSWorld, which they celebrated loudly. OpenAI's CUA has posted competitive but inconsistent results depending on task category. Most enterprise RPA tools don't even submit to OSWorld because their architecture isn't designed for the kind of adaptive, reasoning-based computer use the benchmark tests. Coasty sits at 82% on OSWorld. That's not a small gap. That's a different category of capability. When you're paying per task or per hour of compute, the agent's success rate is directly tied to your cost per completed workflow. An agent that fails 39% of the time versus one that fails 18% of the time is not a minor performance difference. It's the difference between automation that pays for itself and automation that creates a new job category called 'AI babysitter.'

Why Coasty Exists and Why the Pricing Actually Makes Sense

I'm going to be straight with you. I work at Coasty. But I also genuinely think we built the right thing, and the pricing reflects that. Coasty is a computer use agent that controls real desktops, real browsers, and real terminals. Not a browser extension. Not an API wrapper that pretends to see your screen. Actual computer use, the way a human would do it, but faster and without complaining about the repetitive parts. The free tier exists because we want you to test it before you trust it. BYOK is supported because we don't think your AI costs should be a hostage situation. The desktop app works for individual power users. The cloud VMs and agent swarms are for teams that need to run parallel workflows at scale, which is where the economics get genuinely interesting. When you can run 20 computer use tasks simultaneously instead of sequentially, the math on cost per completed task changes dramatically. And at 82% on OSWorld, the highest score of any computer use agent publicly benchmarked, you're not gambling on whether the agent can handle your workflow. You're starting from a position of actual, verified capability. That's what pricing should be anchored to: performance, not prestige.