BAGEL is ByteDance’s open-weight unified image generation and editing model, blending diffusion and autoregressive components for prompt-following text-to-image and instruction-based edits.
See all models from ByteDanceModels in family
1
Open weight
1
API only
0
Avg score
42.7
Top benchmark
88.0
GenEval
Total HF downloads
710
Primary modality
Image
First release
May 2025
Latest release
May 2025
Every release in the BAGEL family, ranked by composite score across benchmarks, popularity, efficiency, and versatility.
| # | Model | Modality | Score | Params | Released |
|---|---|---|---|---|---|
| 1 | image | CC42.7 | 14B | May 2025 |
When each release shipped, newest first. Useful for tracking version cadence.
May 20
Composite grades across this family. Higher is better, blending benchmarks, popularity, and efficiency.
Models with downloadable weights, ranked by composite score.
| # | Model | Modality | Score | Params | Released |
|---|---|---|---|---|---|
| 1 | image | CC42.7 | 14B | May 2025 |
The BAGEL family is a series of AI models from ByteDance. This page lists every release in the family with its benchmark scores, parameter count, and hardware requirements.
By composite score, BAGEL-7B-MoT is currently the top model in the family. For local inference, match the parameter count to your VRAM budget. For quality, pick the highest scorer that fits.
See the open-weight section above for models you can run locally. The API-only section lists closed releases that must be accessed through the provider’s API.
Spin up an instance in the cloud, or pick local hardware that fits.
Full Directory
Open the full directory to filter by hardware, capability, license, and benchmark score.
Or Browse by Provider
See every model from a lab side by side, with aggregate stats. Useful when you want a cross-family view of one provider.
