OpenCUA
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Open foundation stack for computer-use agents (NeurIPS 2025 Spotlight): the AgentNet dataset, annotation tool, and benchmark plus the OpenCUA-7B/32B/72B model family — the strongest open computer-use models on OSWorld-Verified at release. Post-trained on open VLM backbones (not pretrained from scratch), with chain-of-thought-style reflective reasoning over screenshot-action trajectories.
Joint XLANG Lab (HKU) / Moonshot AI co-development, HKU-led; ships under the xlangai HuggingFace org. Companion to the lab's OSWorld evaluation line.
Model Details
Variants
| Name | Parameters | Notes |
|---|---|---|
| OpenCUA-7B | — | post-trained on an open 7B VLM backbone |
| OpenCUA-32B | — | post-trained on an open 32B VLM backbone |
| OpenCUA-72B | — | post-trained on an open 72B VLM backbone |