What is Seed2.0
Seed2.0 is the latest large model series launched by ByteDance's Seed team, including three general Agent models—Pro (doubao-seed-2-0-pro-260215), Lite (doubao-seed-2-0-lite-260215), and Mini (doubao-seed-2-0-mini-260215)—as well as a specialized Code model (doubao-seed-2-0-code-preview-260215). The models comprehensively upgrade multimodal understanding capabilities, reaching SOTA levels on tasks such as document parsing, chart recognition, and hour-level long video processing; they strengthen complex instruction following and long-chain task execution capabilities, can explore Erdős-level mathematical problems, and transform scientific research ideas into implementable solutions. Seed2.0 Pro and Code models have respectively already beenDoubao AppandTRAElaunched, and the APIs for the entire Seed2.0 series have been simultaneously launched on Volcano Engine. Token pricing is about an order of magnitude lower than top-tier models, balancing high performance and low cost.
Main features of Seed2.0
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Multimodal understanding: The model can accurately parse complex documents, charts, graphics, and hour-level long video content.
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Visual reasoning: The model reaches industry-leading levels on visual reasoning tasks such as mathematical problem solving and logic puzzles.
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Complex instruction execution: Supports strict adherence to complex task instructions with multiple constraints, multiple steps, and long chains.
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Agent task processing: Supports end-to-end completion of continuous workflows such as information retrieval, summarization and analysis, and conclusion generation.
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Scientific research support: The model can transform research ideas into clearly structured, executable experimental plans.
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Code generation: Supports complex software development, with full-stack programming and end-to-end project construction capabilities.
Technical principles of Seed2.0
- Multimodal fusion architecture: The model adopts a unified vision-language encoder to achieve high-dimensional alignment and joint representation of images, videos, and text, and improves the accuracy of capturing complex layouts and temporal dynamic information through an enhanced visual perception module.
- Long-context modeling: Introduces efficient positional encoding and sparse attention mechanisms, supports long-sequence processing at the million-token level, and combines with the video tool VideoCut to achieve precise slicing and keyframe extraction for long videos, reducing inference overhead while maintaining temporal understanding capability.
- Agent capability enhancement: Through large-scale instruction fine-tuning and reinforcement learning, the model improves coverage of long-tail domain knowledge. The model adopts a multi-round verification mechanism to ensure logical consistency and constraint satisfaction among steps in long-chain tasks.
- Inference efficiency optimization: Adopts dynamic inference path selection and model distillation techniques to achieve capability layering among Pro, Lite, and Mini models of different sizes. Combined with quantization and speculative decoding strategies, it significantly reduces token costs.
How to use Seed2.0
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Doubao App: VisitDoubao App → Select "Expert" mode → Start a conversation to use the Seed2.0 Pro model.
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TRAE Editor: VisitTRAEIn "Built-in Models", select "Doubao-Seed-2.0-Code" to call the specialized code model to assist programming.
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Volcano Engine API: Access the APIs for the entire Seed2.0 series through the Volcano Ark platform and call Pro/Lite/Mini/Code versions as needed.
Seed2.0 project address
- Project Website：https://seed.bytedance.com/zh/seed2
- Technical Paper：https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
Application Scenarios of Seed2.0
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Enterprise Knowledge Processing: The model can automatically parse unstructured documents such as mixed charts, contracts, and reports, extracting key information to support decision-making.
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Intelligent Customer Service and Q&A: The model supports precise understanding of user intent, completing multi-turn complex consultations and answering professional questions in long-tail domains.
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Video Content Analysis: Efficiently processes hour-long videos, enabling key information localization, real-time stream analysis, and intelligent summary generation.
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Research Assistance: The model can transform research hypotheses into executable experimental plans, supporting interdisciplinary literature reviews and data analysis.
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Software Development: The model supports end-to-end construction of well-designed, fully functional mini-programs or complex application systems.