BAGEL 7B
BAGEL 7B is a released vision model with open-source; evaluate it while provider pricing coverage matures.
- Family
- BAGEL
- Released
- 2025-05-20
- Context
- 32K
- Parameters
- 7B
- Architecture
- Mixture of Transformers
- Openness
- Open source
- License
- Apache 2.0OSI-approvedPermitted
- Weights
- Available
- Code
- Unknown
No tracked provider pricing is available yet.
About
BAGEL-7B-MoT (Big Advanced Generalized Embodied Learner) is ByteDance Seed's open-source unified multimodal model with 7B active parameters (14B total MoE). Built on Qwen2.5-7B-Instruct with dual encoders for pixel-level and semantic-level features, plus a 32K text backbone context from the Hugging Face config. Supports text conversation, visual reasoning, text-to-image generation, image editing, multiview synthesis, and world navigation. Trained on trillions of interleaved multimodal tokens. Apache 2.0 license, open weights on Hugging Face. No hosted API available as of research date.
Providers
No active provider routes are tracked for this model yet.
Capabilities
Benchmark peer barsfor Vision
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
No tracked provider pricing is available yet.