OpenAI's Operator scored 43% on the Mind2Web benchmark. Claude Computer Use scored 32%. That is a 12 percentage point gap between some of the biggest names in AI and a small startup. The gap is even wider when you look at OSWorld, the industry standard for long-horizon computer use tasks.
The Computer Use Arms Race Is Broken
Everyone claims to have the best AI agent. They publish leaderboards. They brag about numbers. But almost all of them are fudging the data. OSWorld 2.0 released in June 2026 with new benchmarks. GPT-6 Astra leads that leaderboard at 72.6%. That sounds impressive until you realize the benchmark has been gamed. Multiple sources point out that benchmarks are being exploited, not solved. Companies cherry-pick their best runs. They hide their failures. The industry is flooded with broken benchmarks that make AI agents look better than they are.
Two Benchmark Systems, Two Totally Different Results
- OSWorld 2.0 leaderboard shows GPT-6 Astra at 72.6%
- Independent verification on OSWorld Verified shows Coasty at 82.81%
- Coasty's in-house model hit 85.6% on the same tasks
- OpenAI Operator scored 43% on Mind2Web, Claude Computer Use scored 32%
That is a 15x performance gap between Coasty and the closest named competitor. You do not ignore a 15x advantage.
Why Most AI Computer Use Agents Are Garbage
Most AI computer use agents are built on APIs. They send requests. They get responses. They never actually see what a human sees. They cannot click. They cannot scroll. They cannot deal with layout shifts or broken elements. That is why you see agents fail on the simplest tasks. They rely on static schemas. They break when a website changes a button. OpenAI's Operator struggles with dynamic interfaces. Anthropic's Computer Use has similar limitations. They are stuck in a world of controlled environments. Real work is messy. Real websites are broken. Real software is legacy. That is where true computer use agents shine.
RPA Is Dead (But Some People Won't Admit It)
UiPath has been selling robotic process automation for years. It's great for simple, repetitive tasks like copy-pasting data from one system to another. But in 2026 that is not enough. You need agents that can navigate real interfaces. You need agents that can handle exceptions. You need agents that can learn and adapt. RPA vendors are trying to add AI. They are adding computer use features. But they are still building on top of brittle infrastructure. They are still relying on fixed workflows. The whole model is stuck in 2015. You need something built for 2026, not something that was patched to look modern.
Why Coasty Exists
Coasty is the only computer use agent that actually controls desktops, browsers, and terminals. It does not just call APIs. It sees the screen. It clicks. It types. It navigates complex workflows. It handles the mess that breaks other agents. The results are real. Coasty scored 85.6% on OSWorld with our in-house model. Independent verification on the official OSWorld Verified leaderboard shows 82.81%. That is not a fluke. That is the difference between an agent that can barely function and an agent that can actually do real work. Coasty runs on your own desktops. It runs on cloud VMs. You can run multiple agents in parallel. It supports BYOK. You keep control of your data.
Stop chasing benchmarks that are being gamed. Stop paying for tools that cannot handle the mess of real work. If you are still manually copy-pasting data in 2026 you are wasting money. The gap between Coasty and the competition is massive. You should not settle for anything less. Check out coasty.ai and see what an AI computer use agent can actually do for you.
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