Seedream 4.0
No estimate
No hardware requirements for this model
The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.
On record
Full specification
Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.
Origin
Who built this model, where, and when it was published.
- Organisation
- ByteDance
- Organisation type
- Industry
- Country
- China
- Published
- 28 September 2025
- Authors
- Yunpeng Chen, Yu Gao, Lixue Gong, Meng Guo, Qiushan Guo, Zhiyao Guo, Xiaoxia Hou, Weilin Huang, Yixuan Huang, Xiaowen Jian, Huafeng Kuang, Zhichao Lai, Fanshi Li, Liang Li, Xiaochen Lian, Chao Liao, Liyang Liu, Wei Liu, Yanzuo Lu, Zhengxiong Luo, Tongtong Ou, Guang Shi, Yichun Shi, Shiqi Sun, Yu Tian, Zhi Tian, Peng Wang, Rui Wang, Xun Wang, Ye Wang, Guofeng Wu, Jie Wu, Wenxu Wu, Yonghui Wu, Xin X…
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Image generation
- Task
- Image generation, Text-to-image
Size
How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.
- Training data
- tokens
Availability
Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.
- Weights
- Closed — provider access only
- Model access
- API access
- Training code
- Unreleased
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Unknown
Sources
Where this record came from and when it was last checked.
- Reference
- Seedream 4.0: Toward Next-generation Multimodal Image Generation
- Last updated
- 28 November 2025
What the numbers mean
Where it came from
Seedream 4.0 was published by ByteDance, in China, in September 2025. It comes out of industry.
It works in Image generation, and is recorded as doing image generation, Text-to-image.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Answers
Seedream 4.0 — common questions
Who created Seedream 4.0?
Seedream 4.0 was published by ByteDance, based in China, categorised as industry.
When was Seedream 4.0 released?
Seedream 4.0 was published in September 2025.
What is Seedream 4.0 used for?
Seedream 4.0 works in Image generation, and is recorded as handling image generation, Text-to-image. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
What GPU do I need to run Seedream 4.0?
None. Seedream 4.0 is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.
Is Seedream 4.0 open source?
No. Seedream 4.0 has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does Seedream 4.0 have?
No parameter count has been published for Seedream 4.0, which is why no memory or speed figure appears on this page.
The other direction
Looking at it from the other side?
This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.