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Computer Use Gets an Open Full-Stack Baseline

OpenGCUA combines visual and programmatic interfaces, releases prompts and trajectories, and moves selected harness decisions into the model.

Published Updated Story ID: mp-2026-10-18-019
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Summary

OpenGCUA combines visual and programmatic interfaces, releases prompts and trajectories, and moves selected harness decisions into the model.

OpenGCUA defines a generalist computer-use agent that chooses how to observe, act and organize work across GUI and code interfaces. On OSWorld-v2, the full configuration improved mean partial score by 19.6 points and reduced reported steps by 53 percent across eight tested models relative to batched GUI-only execution. The team released implementation details, prompts and trajectories plus preliminary real-device and cross-device components. Four macOS tasks also exposed large model differences in reasoning-token use; the real-device evidence remains preliminary.

Why it matters

OpenGCUA combines visual and programmatic interfaces, releases prompts and trajectories, and moves selected harness decisions into the model.

Limits and context

  • On OSWorld-v2, the full configuration improved mean partial score by 19.6 points and reduced reported steps by 53 percent across eight tested models relative to batched GUI-only execution.

Key claims

  1. OpenGCUA combines visual and programmatic interfaces, releases prompts and trajectories, and moves selected harness decisions into the model.

    Qualification: On OSWorld-v2, the full configuration improved mean partial score by 19.6 points and reduced reported steps by 53 percent across eight tested models relative to batched GUI-only execution.

    Evidence: source-2026-10-18-021

Sources

  1. arXiv preprint 2610.22200, original v1arXiv · primary research

Corrections

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