FAQ from BAGEL
What is BAGEL?
What are BAGEL's core capabilities?
How does BAGEL compare to other models?
When was BAGEL released?
BAGEL Company
BAGEL Company name: ByteDance .
BAGEL Github
BAGEL Github Link: https://github.com/bytedance-seed/BAGEL
FAQ from BAGEL
What is BAGEL?
BAGEL by ByteDance-Seed is an Apache 2.0 open-source unified multimodal model designed for advanced image/text understanding, generation, editing, and navigation. It offers capabilities comparable to proprietary systems like GPT-4o and Gemini 2.0. BAGEL can be fine-tuned, distilled, and deployed anywhere, providing precise, accurate, and photorealistic outputs through its natively multimodal architecture.
How to use BAGEL?
BAGEL can be used through its unified multimodal interface, accepting both image and text inputs and outputs in a mixed format. Users can engage in multi-turn conversations, generate high-fidelity images and video frames, perform image editing, apply style transfers, navigate virtual environments, and leverage its compositional and thinking modes by providing prompts and interacting with the model.
What are BAGEL's core capabilities?
BAGEL offers capabilities such as chat, image and text generation, image editing, style transfer, navigation, compositional reasoning, and a thinking mode to enhance outputs.
How does BAGEL compare to other models?
BAGEL offers comparable functionality to proprietary systems like GPT-4o and Gemini 2.0 and surpasses other open models on standard understanding and generation benchmarks.
When was BAGEL released?
BAGEL was released on May 20, 2025.