OSWorld-Verified measures whether AI models can operate software interfaces and complete multi-step computer tasks with reliability.
OSWorld-Verified tests whether AI models can operate real software interfaces — not just describe how software works. The model must observe a screen, choose actions, maintain state across many steps, and recover from mistakes. It is one of the best public benchmarks for computer-use reliability in 2026.
OSWorld-Verified is about whether a model can use software, not just describe how software should be used.
That difference is what makes computer-use benchmarks so important now.
The benchmark puts models into interface-driven tasks where they need to:
This is much closer to what people mean when they talk about AI assistants that can operate tools, apps, and desktop-style workflows.
Computer-use models are increasingly used for:
Those products fail if the model is only "smart in chat." They need models that can stay coherent while acting inside an interface.
Computer-use is harder than ordinary prompt-response interaction because the model has to deal with:
That is why the spread on computer-use benchmarks is often more informative than the spread on saturated academic tests.
Use OSWorld-Verified alongside:
That combination gives you a better read on whether the model can follow instructions, act reliably, and finish real workflows.
→ See agentic model rankings · Full leaderboard
OSWorld-Verified is one of the best public benchmarks for computer-use reliability. If your product depends on models operating real software interfaces, this benchmark should carry more weight than legacy chat-only leaderboards.
See the live leaderboard: OSWorld-Verified scores
What is OSWorld-Verified? OSWorld-Verified measures whether AI models can operate real software interfaces and complete multi-step computer tasks: understand a screen, choose actions, maintain state, avoid mistakes, and finish workflows correctly. It is the key benchmark for computer-use model evaluation.
Why is computer-use benchmarking important? Computer-use models are deployed for ops workflows, QA, back-office automation, and multi-app tasks. These products fail if the model can only chat. OSWorld-Verified tests whether the model can operate interfaces reliably — a different and harder capability.
What makes computer-use tasks difficult for AI? Partial observability, ambiguous UI states, long action chains, mistake recovery, and the gap between planning and execution. These challenges create more spread between models than many saturated academic tests.
What benchmarks should I use alongside OSWorld-Verified? Terminal-Bench 2.0 for terminal tasks, BrowseComp for web research, and IFEval for instruction-following. Together they give a complete picture of agentic reliability.
Data sourced from BenchLM.ai. Last updated March 2026.
On this page
New model releases, benchmark scores, and leaderboard changes. Every Friday.
Free. Your signup is stored with a derived country code for compliance routing.
BrowseComp evaluates whether AI models can search the web, gather evidence, and answer research questions instead of relying only on latent knowledge.
Terminal-Bench 2.0 measures whether AI models can work through real terminal-based coding and ops workflows instead of just answering in chat.
AIME and HMMT are high school math olympiad competitions now used to benchmark AI. Frontier models score 95-99% — competition math is effectively solved. Here's what that means.