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The model also works with frameworks such as Claude Code for visually grounded coding workflows. This is especially useful in ‘Claw Scenarios,’ where a developer might need to provide a screenshot of a bug or a mockup of a new feature. Because GLM-5V-Turbo natively understands multimodal inputs, it can interpret the visual layout and provide code suggestions that are grounded in the visual evidence provided by the user.