BAGEL 7B
BAGEL 7B is a released vision model with open-source; evaluate it while provider pricing coverage matures.
Use it for
- Teams evaluating vision
- Workloads that can use a 33k context window
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Strict JSON or tool-calling flows
- Teams that need a tracked hosted API route today
- Family
- BAGEL
- Released
- 2025-05-20
- Context
- 33k
- Parameters
- 7B
- Architecture
- Mixture of Transformers
- Openness
- Open source
- License
- Apache 2.0OSI-approvedCommercial use: permitted
No tracked provider token 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.
BAGEL 7B is an open-source model in the BAGEL family. The structured metadata tracks a 33k-token context window and multimodal input. No headline benchmark score is tracked for BAGEL 7B yet.
Top use-case fit
Vision
Included by capability and metadata signals in the decision map.
Provider price ladder
No tracked provider token pricing is available 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 token pricing is available yet.