Spatio-Temporal Reasoning
Continuous video-tokenization allows seedream to track objects across 120-second clips with high identity persistence.
Seedream 4.0 (Build 250828)
The seedream 4 api delivers specialized multimodal reasoning with a 128k context window. Developed by Tencent ARC, it excels in spatial intelligence, high-fidelity video analysis, and sub-pixel OCR for industrial applications.
Ví dụ sử dụng API
curl --request POST "https://gptproto.com/api/v3/doubao/seedream-4-0-250828/text-to-image" \
--header "Authorization: Bearer $GPTPROTO_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"prompt": "A tiny origami fox sailing a teacup across a moonlit puddle",
"size": "2048*2048",
"enable_base64_output": false,
"enable_sync_mode": false
}'Giá Seedream 4.0 (Build 250828)
Bắt đầu từ chi phí của một mẫu thử và chọn ngân sách kiểm thử. Mức giá của GPTProto thấp hơn 40% so với giá niêm yết.
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| Kịch bản | Bytedance giá niêm yết | OpenRouter | GPTProto | Bạn tiết kiệm / tháng |
|---|---|---|---|---|
| Thử nghiệm nhanh và tạo mẫu100 ảnh / tháng | $15.00 | $15.82 | $9.00 | −$6.00≈ $72.00 / năm |
| Ảnh sản phẩm và thương mại điện tử1,000 ảnh / tháng | $150.00 | $158.25 | $90.00 | −$60.00≈ $720.00 / năm |
| Nội dung quảng cáo / tiếp thị2,500 ảnh / tháng | $375.00 | $395.63 | $225.00 | −$150.00≈ $1800.00 / năm |
| Nội dung mạng xã hội10,000 ảnh / tháng | $1500.00 | $1582.50 | $900.00 | −$600.00≈ $7200.00 / năm |
Tiết kiệm $0.00 / tháng
Tiết kiệm hàng năm ≈ $0.00 · trả theo mức sử dụng
Mô hình liên quan
Tất cả mô hình
Seedream 4.0 (Build 250828)Hiện tại
Bytedance · $0.018 / Mỗi lần · 2K
Mô hình
Giá: GPTProto
so với giá chính thức
so với OpenRouter
Độ phân giải
Độ ổn định
Seedream 4.0 (Build 250828)Hiện tại
Bytedance
$0.02theo thời gian
-40%
-43%
2K
Core seedream 4 api Features
Key capabilities that define the seedream 4.0 multimodal experience.
Sub-Pixel OCR Precision
The seedream 4 api excels at reading dense schematics and small fonts in high-resolution documents.
Geometric Intelligence
Estimate 3D spatial layouts from 2D images, ideal for robotics and interior design applications.
Interleaved Data Support
Process images, text, and video in a single inference pass for complex multimodal instructions.
seedream 4 api Frequently Asked Questions
Get answers about seedream 4 api performance, data privacy, and migration requirements through GPTProto.
How does the seedream 4 api handle long videos?
The seedream 4 api uses a continuous video-tokenization architecture rather than simple frame sampling. This allows seedream to track objects and maintain identity persistence across video clips up to 120 seconds long. This native spatio-temporal reasoning makes seedream exceptionally reliable for security monitoring and detailed action summarization tasks compared to traditional multimodal models that often lose context between frames.
Is data sent to the seedream 4 api used for training?
No. When you access seedream through GPTProto, you are protected by a Zero Data Retention (ZDR) agreement. None of the images, videos, or text inputs processed by the seedream 4 api are used by the vendor for model training or refinement. This makes seedream suitable for sensitive industrial environments, medical imaging assistance, and private enterprise applications where data security is a non-negotiable requirement.
How does seedream compare to GPT-4o in OCR tasks?
In benchmarks focused on technical schematics and small-font legal documents, the seedream 4 api demonstrates sub-pixel precision that often outperforms GPT-4o. While GPT-4o is a strong generalist, the seedream architecture is specifically tuned for high-resolution visual interrogation. This specialized focus allows seedream to maintain accuracy at extreme aspect ratios and within dense visual environments common in manufacturing.
What is the typical latency for seedream 4 api requests?
For text-only interactions, the seedream 4 api typically sees a Time-to-First-Token (TTFT) of approximately 400ms. When processing multimodal inputs like high-resolution images or 120-second video clips, latency scales with the file size but generally stays under 2.5 seconds. GPTProto optimizes these seedream requests through high-speed routing to ensure your application maintains a responsive user experience despite the heavy visual data.
How do I migrate to seedream 4 from version 3.5?
Transitioning to the seedream 4 api is straightforward as the API remains backwards compatible with the 3.5 series. You simply need to update the model string in your request to 'seedream-4-0-250828'. Note that seedream 4.0 enforces stricter JSON schema validation, so we recommend testing your structured output parameters to ensure compatibility with the updated reasoning engine and its native 'json_object' support.
When should I choose another model over seedream?
While seedream is superior for visual and spatial tasks, it may not be the best choice for pure textual logic or high-variance creative writing. For philosophy-heavy reasoning or long-form fiction, models like Claude 3.5 Opus might provide more nuanced prose. Additionally, seedream is not intended for sub-100ms real-time feedback loops, such as competitive gaming, due to the significant inference overhead required for its deep video analysis.
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