You're Paying 10x Too Much for a Computer Use Agent That Scores Half of Coasty on Benchmarks
Knowledge workers spend 62% of their time on repetitive tasks. Sixty-two percent. That's not a rounding error, that's your entire morning, every morning, gone. So you'd think the companies selling computer use agents would compete hard on price to capture that market. Instead, the biggest players decided to charge enterprise rates for tools that can barely complete a third of real-world tasks. OpenAI Operator launched at $200 per month as part of ChatGPT Pro and scores 32.6% on OSWorld, the gold-standard benchmark for AI computer use. That means it fails on roughly two out of every three tasks you throw at it. And people are paying for this. Happily. Because nobody told them there was a better option.
Let's Just Put the Numbers on the Table
Here's the computer use agent pricing breakdown nobody in the industry wants to publish as a clean comparison, because it's embarrassing for most of the players involved. OpenAI Operator, now baked into ChatGPT agent, requires a ChatGPT Pro subscription at $200 per month. That's $2,400 per year. For one user. It scores 32.6% on OSWorld. Independent reviewers in mid-2025 called it 'unfinished, unsuccessful, and unsafe.' Those aren't my words. That's a direct quote from a published review after hands-on testing. Anthropic Claude computer use is API-based, which sounds flexible until you realize that token costs for computer use tasks stack up fast. Claude Sonnet 4.5 runs at rates that can hit over $100 in a single heavy session, as developers learned the hard way. One engineer publicly documented a $150 single-hour session. That's not a monthly subscription. That's one afternoon. UiPath, the RPA dinosaur that refuses to go extinct, starts at pricing that requires a sales call just to find out what you'll pay. That alone should tell you something. Their licensing page lists 'Computer Vision' as a capability add-on, meaning you're paying base price plus extras just to get to parity with what modern AI computer use agents do out of the box. Cousty.ai: free tier available, BYOK supported so you control your own model costs, and 82% on OSWorld. That's the highest score of any computer use agent, full stop.
The Hidden Cost Nobody Talks About: Failure Rate
Here's the thing that pricing pages never mention. A tool that costs $200/month but fails 67% of the time isn't a $200/month tool. It's a $200/month tool plus the salary cost of a human who has to finish what the AI couldn't. Asana's research shows employees already spend 60% of their time on 'work about work,' meaning coordination, status updates, and administrative tasks instead of actual output. You buy a computer use agent to fix that. If the agent fails two-thirds of the time, you've now added a new category of work: babysitting the AI and cleaning up its mistakes. Over 40% of workers spend at least a quarter of their work week on manual, repetitive tasks according to Smartsheet's research. The whole point of a computer-using AI is to reclaim that time. But reclaiming time only works if the agent actually completes the task. A 32% success rate isn't automation. It's a coin flip with extra steps. The real cost of a low-accuracy computer use agent isn't just the subscription fee. It's the subscription fee plus the human hours spent on reruns, corrections, and the creeping realization that you're not actually saving anything.
OpenAI Operator scores 32.6% on OSWorld. Coasty scores 82%. You're being asked to pay $200/month for a computer use agent that fails on 67% of tasks, while a better option with a free tier exists. That's not a pricing model. That's a confidence trick.
Why RPA Vendors Like UiPath Are Even Worse Value in 2026
I want to be fair to UiPath for exactly one sentence: they built something genuinely useful in 2018. Okay, done. RPA was always a brittle solution. It breaks when a UI changes. It requires dedicated bot maintenance. It needs structured data and predictable workflows. The moment something on screen moves two pixels to the left, your expensive automation falls over and someone gets a 2am alert. Modern computer use agents don't work that way. They see the screen the way a human does, reason about what they're looking at, and adapt. That's the entire point of AI computer use versus legacy RPA. UiPath knows this, which is why they've been bolting AI features onto their platform like a car mechanic duct-taping a jet engine to a 2009 Honda Civic. But their pricing still reflects the old world. Enterprise contracts, implementation costs, training costs, maintenance costs. The total cost of ownership for a UiPath deployment at a mid-sized company can run into six figures before you've automated a single meaningful workflow. A computer use agent that works out of the box, on a real desktop, with no fragile UI selectors to maintain, is a fundamentally different cost structure. The RPA vendors just hope you don't notice.
The 'But Claude Computer Use Is Powerful' Argument, Addressed
Yes, Anthropic builds impressive models. Claude Sonnet 4.5 made real progress on computer use benchmarks and the team clearly cares about getting this right. I'm not dunking on the research. But there's a difference between a powerful underlying model and a usable computer use product. Anthropic's computer use is an API capability. You get raw access to a model that can see and interact with a screen. What you don't get is a polished agent experience, a desktop app, cloud VM infrastructure, or the ability to run parallel agent swarms for high-volume tasks. You get building blocks and a bill that scales with every screenshot the model processes. For a developer who wants to build something custom, that's fine. For a team that wants to actually automate work starting today, it's a project, not a product. And when that project runs hot, as developers have discovered, the token costs for vision-heavy computer use tasks are genuinely shocking. Claude Opus 4.5 was priced at $5 per million input tokens and $25 per million output tokens. Computer use tasks are not lightweight API calls. They're streams of screenshots, each one costing tokens, stacking up every few seconds the agent is running. The pricing model for raw API computer use was designed for developers, not for businesses trying to automate workflows. That mismatch is why so many teams start with Claude computer use and then go looking for something that actually fits how work gets done.
Why Coasty Exists and Why the Benchmark Score Actually Matters
I use Coasty. I recommend Coasty. I'm going to tell you exactly why and you can decide if it's credible. The 82% OSWorld score isn't marketing. OSWorld is an independent academic benchmark that tests AI agents on 369 real computer tasks across real applications, browsers, and terminals. It's the closest thing the industry has to an objective measure of whether a computer use agent can actually do computer work. Coasty at 82% isn't just ahead, it's in a different bracket. The next closest competitors are scoring in the 50s and 60s at best. Beyond the benchmark, Coasty controls real desktops, real browsers, and real terminals. Not sandboxed demos. Not API simulations. Actual computer use. It ships with a desktop app for local work, cloud VMs for when you need isolated environments, and agent swarms for parallel execution when you need to run the same task across dozens of accounts or workflows simultaneously. The free tier means you can test it on real work before you spend a dollar. BYOK support means if you already have API keys, you're not paying a markup on model costs. The pricing is built for teams that want to actually deploy automation, not for enterprise procurement cycles that take six months and require three demos. If you're evaluating computer use agents and you haven't tested Coasty, you're making a purchasing decision with incomplete information. Go to coasty.ai and run the free tier on something you actually do every day. Then compare that experience to paying $200/month for a 32% success rate.
The computer use agent market right now is a classic early-stage mess. The biggest brand names charge the most, perform the worst, and count on buyers not doing the homework. OpenAI has the distribution. Anthropic has the research credibility. UiPath has the enterprise relationships. None of them have the best computer use product. You have two choices. You can keep paying for brand names and watching your automation fail two-thirds of the time. Or you can look at the benchmark scores, look at the pricing, and make the obvious call. 82% versus 32.6%. Free tier versus $200/month. Real desktop control versus API building blocks. This isn't a close call. Stop overpaying for underperformance. Try Coasty at coasty.ai and see what a computer use agent that actually works feels like.