The Brutal AI Agent Platform Comparison Nobody Wants to Publish in 2026

The RPA Graveyard Is Still Accepting Bodies

Let's start with the elephant in the room. Robotic Process Automation was supposed to be the answer. UiPath, Automation Anywhere, Blue Prism. Enterprises spent billions. Gartner just dropped a prediction that over 40% of agentic AI projects will be canceled by the end of 2027, and a huge chunk of that is the RPA-dressed-as-AI crowd that never actually evolved. Traditional RPA is brittle by design. It follows scripts. It breaks when a UI changes by three pixels. It requires a dedicated developer to babysit every bot. One Reddit thread in the RPA community put it perfectly: 'It seems like a gigantic waste of money to use AI for something that could be explicitly scripted.' That's the trap. RPA vendors kept selling you scripted automation and calling it intelligent. The real computer use AI agents, the ones that actually see the screen and reason about what to do next, are a completely different category. The problem is that half the market still doesn't understand the difference, and vendors are counting on that confusion.

The OSWorld Scoreboard Is Brutal If You're Not Coasty

OSWorld is the benchmark that actually matters for computer use AI. It throws 369 real desktop tasks at agents and sees how many they complete. No hand-holding, no API shortcuts, just an agent looking at a screen and figuring it out. Here's what the 2026 scoreboard looks like, and it's not flattering for most players. GPT-5.3 Codex from OpenAI scores 64.7% on OSWorld. Claude Sonnet 4.6 from Anthropic scores 72.5%. Both of those are genuinely impressive models. But Coasty sits at 82%, and that gap is not a rounding error. That's a 10-point spread over Anthropic's best computer use model and nearly 18 points over OpenAI. In a domain where every percentage point represents real tasks either completed or failed, 18 points is the difference between a tool that works and a tool that apologizes. The Computer Agent Arena research also found something fascinating: models that score well on OSWorld often perform worse on real human preference evaluations. Coasty's lead holds in both because it's built for actual computer use, not benchmark optimization.

What OpenAI Operator Actually Looks Like in the Wild

• ●A Partnership on AI report from September 2025 found Operator was 'taking screenshots instead of copying them, leading to OCR mistakes' during basic testing.
• ●Leon Furze's hands-on review called it 'unfinished, unsuccessful, and unsafe' after testing in July 2025. That's a tech writer being polite.
• ●Operator is trained to decline entire categories of tasks, which means you're paying for an agent that actively refuses to do parts of your job.
• ●OpenAI folded Operator into ChatGPT as 'ChatGPT agent' in July 2025, which is either a smart integration or a quiet admission that Operator as a standalone product wasn't landing.
• ●For computer use specifically, OpenAI's CUA was scoring around 32.6% on 50-step tasks at its peak. Coasty handles those same tasks at 82%. You do the math.

Anthropic's Computer Use Is Impressive and Still Not Enough

I want to be fair here, because Anthropic is genuinely doing serious work. Claude Opus 4.6 and Sonnet 4.6 are legitimately strong computer-using AI models, and the Anthropic team knows it. Their February 2026 announcements made a big deal of OSWorld improvements, and those improvements are real. But here's the thing: Anthropic is a model company. They give you the brain. You still have to build the hands, the infrastructure, the orchestration layer, the desktop environment, and the retry logic yourself. That's not a product. That's a research paper with an API attached. Anthropic's own engineering blog in January 2026 admitted that building proper agent evaluations is deeply hard, that agents can 'fail' an eval while actually doing something smarter. That's intellectually honest and also completely unhelpful if you're a business trying to automate invoice processing by Tuesday. The gap between 'impressive model' and 'working computer use product' is where most enterprises get burned.

Why Coasty Exists and Why the Score Is 82%

Coasty wasn't built to win a benchmark. It won the benchmark because it was built to actually do computer use. There's a difference. The product runs on real desktops, real browsers, and real terminals. Not simulated environments, not API wrappers pretending to be agents. Actual screen control. When you need to pull data from a legacy web portal, cross-reference it in Excel, and push it into your CRM, Coasty does that as a complete loop, not three separate API calls you have to stitch together yourself. The agent swarms feature is where it gets genuinely interesting. Parallel execution across multiple tasks means the kind of work that would take a human team a full day can run in the background while your team does something that actually requires judgment. The desktop app keeps it accessible. BYOK support keeps the finance team calm. The free tier means you can prove the value before you write a check. At 82% on OSWorld, Coasty isn't just the best computer use agent on the market. It's the only one where the benchmark score and the real-world performance are telling the same story. That's rare in this space right now.

The Honest Comparison Nobody Else Will Write

• ●UiPath: Great for scripted, stable processes. Falls apart when the UI changes or the task requires any actual reasoning. Expensive to maintain. Not a computer use AI agent, regardless of what their marketing says.
• ●OpenAI Operator / ChatGPT Agent: Broad capability, real limitations on task categories, OCR errors documented in independent testing, 64.7% on OSWorld. Fine for simple web tasks. Not enterprise-grade computer use.
• ●Anthropic Computer Use (Claude API): Strongest underlying model outside of Coasty. But it's infrastructure, not a product. You need a team to deploy it properly. OSWorld score of 72.5% is impressive and still 10 points behind.
• ●Simular Agent S2: Interesting modular approach, getting attention in research circles. Not yet a production-ready computer use platform for most businesses.
• ●Coasty: 82% OSWorld. Real desktop control. Agent swarms. Ships as an actual product you can use today. Free tier. BYOK. The benchmark winner that's also the practical winner.