Introducing BAGEL: The Unified Multimodal AI Engine
BAGEL—developed by ByteDance-Seed—is a breakthrough open-source multimodal foundation model licensed under Apache 2.0. Unlike modular or pipeline-based approaches, BAGEL unifies understanding, generation, editing, and spatial reasoning into a single, cohesive architecture. Trained from the ground up for native multimodality, it delivers GPT-4o–level fluency and Gemini 2.0–grade visual fidelity—while remaining fully customizable, lightweight enough for edge deployment, and rigorously open for research, fine-tuning, and commercial integration.
Interacting with BAGEL
BAGEL operates through a seamless, context-aware interface where images and text coexist fluidly—no preprocessing, no format switching. Whether you're describing a complex scene, generating cinematic video keyframes, editing a portrait while preserving micro-expressions, navigating a 3D simulation, or iteratively refining creative concepts via chain-of-thought prompting, BAGEL responds in real time with compositional awareness and cross-modal consistency.