Doubao SeeDream 4 API Key Features

Migration is straightforward since the Doubao SeeDream 4 API is OpenAI-compatible. Simply update your base URL to the GPTProto endpoint and change the model identifier to doubao-seedream-4-0-250828. Our platform handles the underlying visual encoding differences, though you should ensure your image inputs follow the standard content array format used by modern multimodal SDKs.

No. Privacy and security are paramount. Data transmitted through the Doubao SeeDream 4 API via GPTProto.com is protected by ByteDance Enterprise agreements. Your prompts, images, and videos are not used to train future iterations of the Doubao models, ensuring your proprietary business data remains confidential and secure within your specific API environment.

The Doubao SeeDream 4 API is highly cost-efficient, priced at $0.15 per 1M input tokens and $0.60 per 1M output tokens. Image inputs are a flat $0.0015 per image, while video analysis costs $0.02 per minute. Through our aggregation platform, developers save approximately 70% compared to direct enterprise rates, with additional 50% discounts available for non-peak batch processing jobs.

Yes, the Doubao SeeDream 4 API supports analyzing video files up to 10 minutes in length. This is significantly higher than many competitors. It provides high timestamp accuracy for event identification and semantic extraction. Note that processing videos of this length can involve an initialization time of 30-60 seconds, so it is best suited for asynchronous or batch analysis tasks.

For text-only interactions, the Doubao SeeDream 4 API offers a Time to First Token (TTFT) of roughly 200ms. For complex visual tasks, such as analyzing high-resolution images or dense screenshots, expect a latency of 1 to 2 seconds. The model is optimized for low-latency vision-to-action workflows, making it suitable for agentic applications that require sub-second inference overhead for tool calling.

Absolutely. One of the primary strengths of the Doubao SeeDream 4 API is its mastery of the Chinese language, including internet slang, cultural idioms, and localized sentiment. It consistently outperforms Western-centric models like GPT-4o on the C-Eval benchmark, making it the premier choice for applications targeting the Chinese market or processing content from platforms like Douyin.