Anthropic Computer Use vs OpenAI vs Coasty: Why 82% OSWorld Score Matters

The OSWorld Numbers Are Messing With Everyone

OSWorld is the only benchmark that actually tests general computer tasks. Not just writing code. Not just answering questions. It's real work. Claude Sonnet 4.6 sits at 72.5% OSWorld. OpenAI's Operator? 38.1%. That's a 45-point gap. A gap this large means the difference between an agent that can actually help you and one that will get stuck clicking the wrong button every three steps. Most people don't realize why these numbers matter. They think 'close enough' is close enough. It's not. A 38% success rate means three out of every ten tasks fail. In a business context, that's a lot of wasted money. That's a lot of frustration. That's a lot of manual rework.

Why OpenAI's Computer Using Agent Is Failing You

• ●OSWorld score of 38.1% puts it well behind Anthropic and Coasty
• ●Users report getting stuck on basic visual tasks like 'failed to take screenshot' errors
• ●Reports of compounding errors in 100-step workflows that drop success rates to 36%
• ●Enterprise deployments are abandoning it for more reliable alternatives
• ●Costs add up when you're constantly re-running failed tasks

RPA Is Dead. Or At Least It Should Be.

UiPath and other RPA tools are still selling robots that click buttons. They work. Sort of. But they require constant maintenance. They break when UI changes. They can't reason about context. They can't adapt. In 2026, that's like keeping a dial-up connection because 'it works.' Companies are leaving UiPath for AI-native automation. One alternative reports 90% fewer automation failures and 12x lower maintenance costs for enterprises making the switch. That's the problem with RPA. It's brittle. It's outdated. It requires people to maintain it. AI agents are supposed to reduce that burden. But only the good ones. The ones that actually understand what they're doing on screen. The ones that don't hallucinate UI elements or get stuck on screenshots that won't load.

The Real Cost of Bad Computer Use

Let's talk money. A company with 100 employees might spend thousands per month on tools that don't actually work. Sales reps waste 71% of their time on manual data entry. That's hours every week. That's money. That's opportunity cost. AI agents should fix that. They should automate the boring stuff. But only if they work. A 38% success rate means you're paying for automation that fails three times out of ten. That's not automation. That's a disaster waiting to happen. The compounding errors issue is even worse. In workflows with 100 steps, success rates can drop to 36%. That's not a tool you want in production. That's a toy you play with in a sandbox.

Why Coasty Exists (And Why It Wins)

Coasty isn't trying to be the next RPA vendor. It's a computer use agent that actually works. OSWorld scores 82%. That's the highest score of any computer use agent. It's not just benchmarking. It's controlling real desktops, browsers, and terminals. That's what computer use should be. Coasty runs on local machines, cloud VMs, and agent swarms for parallel execution. You can spin up multiple agents to handle different tasks at once. It supports BYOK. There's a free tier. It's open-source. The infrastructure handles the heavy lifting so you can focus on what matters. You tell it what to do. It does it. Not perfectly. But reliably enough to actually save you time. That's the difference between 38% and 82%. That's the difference between frustration and real productivity gains.