FAQ from BAGEL
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What is BAGEL?
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How does BAGEL handle multimodal tasks?
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What makes BAGEL stand out among open-source models?
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When was BAGEL made publicly available?
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BAGEL Company
BAGEL is developed by ByteDance-Seed, a research initiative under ByteDance.
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BAGEL Github
Access the full repository and documentation at: https://github.com/bytedance-seed/BAGEL
FAQ from BAGEL
What is BAGEL?
BAGEL is an open-source unified multimodal AI model created by ByteDance-Seed. Built on a native multimodal architecture, it supports advanced capabilities in image and text understanding, generation, editing, and environmental navigation—all under the Apache 2.0 license for unrestricted use and deployment.
How does BAGEL handle multimodal tasks?
BAGEL processes and generates both visual and textual data within a single integrated pipeline. It accepts combined inputs (e.g., images with captions) and delivers mixed-format responses, enabling fluid interactions like conversational image editing, style transformation, and scene navigation through natural language or timed instructions.
What makes BAGEL stand out among open-source models?
BAGEL combines state-of-the-art performance with full openness. Its Mixture-of-Transformer-Experts (MoT) design, compositional reasoning, and built-in thinking mode allow it to outperform many existing open models on benchmark tasks, rivaling top proprietary systems in versatility and output quality.
When was BAGEL released?
BAGEL was officially released on May 20, 2025, marking a significant advancement in accessible, high-performance multimodal AI technology.