Qwen-CUA: Native Computer Use for (almost) Everything

Published
Source
arXiv
Paper number
812
Field
Machine Learning
arXiv ID
2608.02352

Key points

  • We trained a native computer-use agent that controls the keyboard and mouse from screenshots only, using a 397B-A17B MoE.
  • It keeps up to 20 screenshots and groups older ones into blocks to improve KV-cache efficiency.
  • We ran large-scale reinforcement learning with about 100,000 vCPUs, 40,000 verified tasks, and tens of thousands of concurrent environments.
  • It consistently outperformed Qwen3.7 across eight benchmarks, with 86.2% on OSWorld-Verified.
  • It also improved safety by reducing attack success rate from 36.6% to 16.4%.

Paper links

External research summaries. These are not HDATF publications or measured product results.

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