ByteDance's intelligent image model with Chain of Thought visual reasoning and real-time web search, comprehensively upgraded in understanding, reasoning, and generation, supporting up to 4K output and 14-image reference editing.
Bytedance
Seedream 5.0 Lite is a unified multimodal image generation model released by ByteDance's Seed team in February 2026, marking the Seedream series' evolution from a passive instruction-following image engine into an intelligent creative assistant capable of observing, understanding, and reasoning. Compared to its predecessor Seedream 4.5, the model's core improvement lies not in higher resolution or faster speed, but in the deeper thinking behind generation — the model begins to "understand" user intent like a human designer, "see" patterns in reference images, and apply world knowledge to both image and text creation.
Two landmark innovations define this generation: Chain of Thought (CoT) visual reasoning — a multi-step inference process that parses and synthesizes visual elements, ensuring logical consistency of spatial relationships and physical laws in complex scenes; real-time web search — retrieving up-to-date information during generation so images can reflect current trends, events, and real-time data, overcoming training data cutoff limitations. This feature can be toggled on or off — enabled for fresh information, disabled for more stable creation.
| Feature | Benefit |
|---|---|
| Chain of Thought reasoning | Multi-step visual reasoning ensures consistency of spatial relationships, physical laws, and compositional logic, making complex scene generation more plausible and believable |
| Real-time search grounding | Breaks through training data cutoff limitations with on-demand access to live information — the first publicly search-enhanced Seedream model |
| Intent understanding depth | Evolves from passive instruction execution to active intent understanding — short and ambiguous prompts still yield high-quality results |
| Editing stability | Non-edited regions remain stable during localized edits, eliminating the drift and subtle distortions common in AI editing |
| Facial fidelity | Specifically optimized for small-face rendering and skin texture restoration, maintaining high facial consistency through style transformations |
| Unified multimodal architecture | Generation, editing, and reasoning in a single model with significantly enhanced cross-modal understanding and alignment |
| Output specification | Resolution | Our pricing | Official |
|---|---|---|---|
| Default | Per image | $0.030305 / image | $0.035 / image |