Seedream 4.0
ByteDance's MoE Image Speed King
ByteDance's August 2025 image model — generates 2K-resolution images in 1.8 seconds via a mixture-of-experts architecture. Speed is the differentiator: most quality-tier models take 5-15 seconds. Powers ByteDance's Doubao image generation and the Jimeng creative app, plus is the image backbone for Seedance video.
Why it matters
Demonstrated that MoE works for image diffusion as well as language — same active-parameter trick. Seedream 4.5 / 5.0 refreshes have iterated quickly, and Seedance video is built on the same architecture.
Core Capabilities
Generative
Produces images, video, audio, or other media.
Multimodal
Combines text, vision, and audio in one model.
Vision
Understands images, scenes, and visual context.
Context Window
Context window not disclosed.
Availability
API
Available
Product / App
Not available
Open Source
Not released
Enterprise
Contact sales
Pricing Model
Pay per token
Input and output billed separately.
Pay-per-token Capability / Performance
Where this model sits relative to the middle 60% of models in the tree. All scores are 0–10 (higher is better).
Lower 20% Upper 80% This model
Lower 20% 20th percentile — 20% of models score below this This model Where the current model lands Upper 80% 80th percentile — only 20% of models score above this
Percentile boundaries are computed across every model in the tree that reports the underlying benchmark for each capability.
What it feels like
- Vision-language model from ByteDance — see the linked sources below for benchmark and review coverage
- Vision and multimodal tasks are the typical fit per the published model card
Best use cases
- Vision tasks (charts, documents, images) per the model card
- See the model spec and sources block for benchmarked use cases
Tools to try
Not ideal for
- Tasks far outside the modalities listed in this model's spec
- Workflows where a more recent successor in the same family scores higher