OpenCUA 7B

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released July 2025128K context≈ 96,000 words7B params

OpenCUA 7B is a compact vision-language model built around computer use and UI interaction tasks — it reads screenshots and generates actions or instructions to navigate interfaces. At 7B parameters it trades raw reasoning depth for accessibility, running on modest hardware while still handling structured visual tasks. Expect solid performance on UI-grounded workflows but more limited generalization on open-ended reasoning.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Instruction Following

Moderate

Factual Knowledge

OpenCUA 7B

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released July 2025128K context≈ 96,000 words7B params

OpenCUA 7B is a compact vision-language model built around computer use and UI interaction tasks — it reads screenshots and generates actions or instructions to navigate interfaces. At 7B parameters it trades raw reasoning depth for accessibility, running on modest hardware while still handling structured visual tasks. Expect solid performance on UI-grounded workflows but more limited generalization on open-ended reasoning.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Instruction Following

Moderate

Factual Knowledge

Glossary

AccessibilityDesigning technology so people with disabilities can use it effectively.Computer UseThe ability for an AI model to interact with computer interfaces, navigate software applications, and execute actions on a user's behalf by understanding and responding to visual or textual representations of screens.GeneralizationA model's ability to perform well on new, unseen data that differs from what it was trained on.Language ModelAn AI model trained to predict and generate text by learning patterns from large amounts of written data.ParametersThe learned numerical values in a model — more parameters generally means more capacity but higher compute cost.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.Reasoning DepthA model's ability to perform complex multi-step logical thinking and problem-solving; typically increases with model size.UI InteractionThe ability of an AI model to understand and control user interface elements like buttons and forms by interpreting visual layouts and executing appropriate actions.Vision-LanguageA model designed to understand and reason about both visual content (images) and natural language text together.Vision-Language ModelAn AI model that understands both images and text, allowing it to answer questions about images or describe what it sees.

Capabilities

Capabilities

Use Case Fit

Glossary