Computer Use Agent Pricing in 2025: You're Probably Paying 10x Too Much (And Getting Half the Results)
Manual data entry costs U.S. companies $28,500 per employee per year. That's not a typo. That's a real number from a July 2025 report, and it doesn't even include the hours burned on copying between apps, filling out forms, navigating dashboards, and doing every other soul-destroying task that a computer use agent could handle in seconds. So here's what makes me genuinely angry: people are out here paying enterprise RPA licensing fees that start at $300 a month per bot, or burning through Anthropic API tokens at $15 per million output tokens, and still not automating the things that are eating their team alive. The computer use AI space is crowded right now, the pricing is all over the place, and the performance gaps between tools are enormous. Let me break down exactly what you're getting, what you're paying, and where the real rip-offs are hiding.
The $28,500 Problem Nobody Wants to Do the Math On
Let's set the stage. Over 40% of workers spend at least a quarter of their work week on manual, repetitive tasks, according to Smartsheet's research. A quarter of their week. If you have a 20-person team and the average salary is $60,000, you're hemorrhaging somewhere north of $150,000 a year on work that shouldn't involve a human at all. And yet the conversation in most companies is still 'should we automate this?' instead of 'why haven't we automated this already?' The answer, honestly, is that the tools have been either too expensive, too brittle, or too hard to set up. Traditional RPA like UiPath requires dedicated engineers, multi-month implementation timelines, and licensing structures that feel designed by someone who hates you. The new wave of computer use agents promised to fix that. Some of them have. Most of them haven't.
What You Actually Pay: The Competitor Breakdown
- ●Anthropic Claude computer use API: $3 per million input tokens, $15 per million output tokens for Sonnet 4.6. Sounds cheap until your agent is taking 50+ screenshots per task and the token count explodes. Real-world agentic loops get expensive fast, and one Reddit user reported single prompts costing $0.40 each in coding workflows.
- ●OpenAI Operator / CUA model: Requires ChatGPT Pro at $20/month minimum, plus API costs for the computer-using agent model. OpenAI's own page admits it's 'compute intensive.' An independent review in July 2025 called it 'a big improvement but still not very useful' for important tasks.
- ●UiPath enterprise RPA: Starter plans begin around $420/month and scale aggressively from there. You also need trained RPA developers to build and maintain the bots. Total cost of ownership including implementation and maintenance routinely runs into the tens of thousands before you've automated a single meaningful workflow.
- ●Google Gemini Computer Use on Vertex AI: Billed through the Gemini 2.5 Pro SKU. Pricing is complex enough that Google tells you to 'apply billing tags' to split out computer use costs, which is a red flag for anyone who's ever tried to predict a cloud bill.
- ●Coasty.ai: Flat, transparent pricing with a free tier to start. BYOK (bring your own key) supported so you're not locked into one model provider's token economics. Desktop app plus cloud VMs plus agent swarms, all under one roof. And it scores 82% on OSWorld, which is the actual industry benchmark for computer use performance.
Claude Sonnet 4.5 scores 61.4% on OSWorld. Coasty scores 82%. You're not just paying less. You're getting a computer use agent that actually finishes the task.
OSWorld Scores Matter More Than Marketing Pages
OSWorld is the benchmark that actually tests whether a computer-using AI can do real work on a real desktop. Not curated demos. Not cherry-picked screenshots. Real tasks, real operating systems, real failure conditions. Anthropic's Claude Sonnet 4.5 scores 61.4%. That means it fails nearly 4 out of every 10 tasks in a controlled benchmark environment. In production, with all the weird edge cases your actual workflows throw at it, that number gets worse. OpenAI's CUA model claimed an 87% success rate on WebVoyager, but WebVoyager is a web-only benchmark, and web tasks are the easy part. The moment you need a computer use agent that can navigate a desktop app, interact with a terminal, or handle a multi-step workflow across different software, web benchmarks tell you almost nothing. OSWorld is the real test. And on OSWorld, the gap between the top performer and the rest isn't close. Coasty sits at 82%. The next credible competitor is miles back. When you're paying for computer use AI, you're paying for task completion. A tool that fails 40% of the time isn't saving you money. It's creating a new category of work: fixing what the agent broke.
The Hidden Costs Everyone Ignores
Here's the thing about token-based pricing for computer use agents: it punishes you for complexity. Simple tasks stay cheap. The moment you're automating something real, something with multiple steps and error handling and retries, the token count balloons. A computer use agent that needs to take a screenshot, analyze it, click something, take another screenshot, and repeat that loop 20 times is burning tokens at every single step. With Claude's API at $15 per million output tokens, a complex 30-minute workflow can cost more than you'd expect. That's before you factor in the fact that lower accuracy means more retries, and more retries mean more tokens. It's a compounding cost problem. Traditional RPA sidesteps this with flat per-bot pricing, but then you're paying $300 to $1,570 per month per bot according to Skyvern's 2025 enterprise automation cost guide, plus the engineering time to build and maintain brittle scripts that break every time a UI changes. There's no good option in the old model. The new model of computer use AI is genuinely better, but only if the pricing is honest and the accuracy is high enough to not eat itself in retry costs.
Why Coasty Exists
I've been in enough conversations with ops teams and engineers to know that the frustration isn't 'AI agents don't work.' The frustration is 'we tried three different tools, spent two months on it, and we're still not sure if it's actually saving us time.' Coasty was built for the people who are done with that cycle. It controls real desktops, real browsers, and real terminals. Not a sandboxed web environment, not a limited API wrapper. Actual computer use, the kind where you point it at your legacy CRM and it figures out what to do. The 82% OSWorld score isn't a marketing number. It's the publicly verifiable, independently measured result on the hardest benchmark in the field. Nobody else is close right now. The desktop app makes it accessible without a PhD in prompt engineering. The cloud VMs mean you can run tasks without tying up your own machine. The agent swarms let you run parallel workstreams, which is where the real time savings compound. And the free tier means you can actually test it before committing, which is more than you can say for most enterprise automation vendors who want a 30-minute sales call before they'll tell you the price. If you're spending real money on Anthropic's computer use API or trying to make Operator work for production workflows, I'd genuinely encourage you to run the same task on Coasty and compare the results. The accuracy difference alone usually closes the argument.
Here's my actual take: the computer use agent market in 2025 is in the same place the cloud market was in 2012. Everyone knows the old way is expensive and fragile. Everyone knows the new way is coming. But most companies are still buying the old way because it's familiar, or they're buying the new way from the biggest brand name without checking whether it actually works. $28,500 per employee per year in manual task costs is the number you should tape to your monitor. That's what's at stake. Not some abstract 'productivity improvement,' but real money leaving your company every year because someone is still copying data between two systems by hand. The best computer use agent isn't the one with the best marketing. It's the one that completes the most tasks correctly, at the lowest total cost, without requiring a team of engineers to babysit it. Right now, that's Coasty. Check the OSWorld leaderboard yourself if you don't believe me. Then go to coasty.ai and start the free tier. The math isn't complicated once you stop letting brand loyalty do your accounting.