BAGEL Models by ByteDance
1 model2025Up to 33k ctx
Details
ResearcherByteDance
LicenseApache 2.0OSI-approved
Commercial useCommercial use: permitted
Models1
Released2025
Max context33k
Capabilities
VisionAll models
MultimodalAll models
About
BAGEL (Big Advanced Generalized Embodied Learner) is ByteDance Seed's open-source unified multimodal foundation model built on Qwen2.5-7B-Instruct with a Mixture-of-Transformer-Experts (MoT) architecture. It supports text understanding, visual reasoning, text-to-image generation, and image editing, trained on trillions of interleaved multimodal tokens spanning language, image, video, and web data.
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
1 in view
BAGEL 7BCurrent
Use when the workload needs 33k context, 7B parameters, and multimodal inputs.
2025-0533k context7B parametersmultimodal inputs
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| BAGEL 7B | Use when the workload needs 33k context, 7B parameters, and multimodal inputs. | 2025-05 | 33k context7B parametersmultimodal inputs | Current |
Release Timeline
1 release group2025-05
1 current
BAGEL 7B
Current33k context7B parametersmultimodal inputs
Specifications(1 models)
| Model | Released | Context | Parameters | Vision | Multimodal |
|---|---|---|---|---|---|
| BAGEL 7B | 2025-05 | 33k | 7B | Yes | Yes |
Frequently Asked Questions
- What is BAGEL used for?
- BAGEL is used for vision and multimodal work and coding. The family description and listed model capabilities point to those workloads as the best fit.
- How does BAGEL compare to Seed?
- BAGEL by ByteDance is strongest where you need vision and multimodal work, while Seed by ByteDance is the closest related family to check for vision and multimodal work. BAGEL has 1 listed variant and reaches up to 33k context, while Seed reaches up to 256k context, so compare the specs and pricing tables before choosing a production model.
- Which BAGEL model should I use?
- If price is the main constraint, use the pricing table first because BAGEL does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate BAGEL 7B with 33k context and multimodal inputs.
