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Doubao 2.1 - ByteDance's new intelligent agent model series

Seed 2.1 is a new series of intelligent agent models launched by ByteDance's Seed team for real-world productivity scenarios, including Pro and Turbo versions.

What is Doubao 2.1?

Seed 2.1 is a new series of intelligent agent models launched by ByteDance's Seed team, designed for real-world productivity scenarios. It includes Pro and Turbo versions. The models aim to address complex needs in daily life, professional work, and cutting-edge exploration, achieving significant improvements in three key dimensions: general agent capabilities, end-to-end code engineering delivery, and multimodal understanding. It emphasizes stable delivery in real-world workflows.

The main functions of Doubao 2.1

  • General Agent Task Execution: It can complete high-value office tasks such as project planning, document processing, and multi-step tool calls across tools and environments, and produce practical results.
  • End-to-end delivery of code engineering: It covers requirements understanding, function implementation, bug fixing, runtime environment setup and result verification, and supports collaborative modification of multiple files at the repository level.
  • Multimodal content understanding: It can accurately perceive, reason about, and integrate information from complex visual information, video content, charts, documents, PDFs, and other materials.
  • Computers use Agents (CUAs): It supports seamless switching and operation between mobile GUI, desktop OS, browser, and productivity tools such as Notion/Canva/Figma.
  • Long context and video processing: It supports the understanding, retrieval, and real-time streaming analysis of 128K long documents and hour-long videos.

Technical principles of Doubao 2.1

  • Deep Thinking ArchitectureThe thinking mode is controlled by the thinking parameter, and reasoning_effort supports four levels of adjustment: minimal, low, medium, and high. In the tool call scenario, the content of the thought chain will participate in subsequent rounds of reasoning, improving the accuracy of multi-round calls, and also supports outputting thought summaries and encrypted original text feedback.
  • Multimodal codingImage understanding controls the level of detail using the `detail` parameter, supporting three modes: low, high, and xhigh, with a maximum input of 5120 tokens and 9.03 million pixels. Video understanding controls the level of detail using `fps`, and files larger than 10MB are uploaded via the Files API and retrieved using a File ID.
  • Cache reuse mechanismImplicit caching automatically identifies common prefixes in requests without requiring additional configuration; explicit caching achieves higher hit rates through prefix caching and Session caching, avoiding duplicate processing of the same content by the model and significantly reducing token costs.

How to use Doubao 2.1

  • Doubao client: Download the Doubao PC version or Doubao App, and select the office task mode in the chat interface to call up the Seed 2.1 series models.
  • TRAE Development Tools: In the list of built-in models in TRAE Work or TRAE IDE, select Doubao-Seed-2.1-Pro or Doubao-Seed-2.1-Turbo As the current session model.
  • Volcano Ark API: Log in to the Volcano Engine Ark Experience Center and select the model plaza. Doubao-Seed-2.1-Pro or Doubao-Seed-2.1-Turbo Experience it online or access the API.

The core advantages of Doubao 2.1

  • Coding's engineering delivery capabilities leap forwardIt surpasses or matches GPT-5.5 on programming benchmarks such as SciCode and NL2Repo-Bench, and has stronger requirements understanding, long-term planning and continuous repair capabilities, making it competent for complex engineering delivery in real enterprise R&D scenarios.
  • Agent long-chain execution priorityMobileWorld (GUI-only) scored 73.1, significantly outperforming GPT-5.5 (54.7) and Claude-Opus-4.7 (57.1), and supports end-to-end closed-loop delivery and complex task orchestration.
  • Leading in visual understandingIt achieves excellent benchmark results on VLM standards such as MMMU-Pro, CharXiv-RQ, and GDPVal, supports image xhigh detail and video understanding, and provides more stable cross-platform GUI operation.

Project address for Doubao 2.1

  • Project official websitehttps://seed.bytedance.com/seed2_1

Comparison of Doubao 2.1 with similar competing products

Dimension Doubao Seed 2.1 Pro GPT-5.5
Terminal Bench 2.1 71.0 73.8
SWE-Pro 57.5 58.6
SciCode 59.8 58.4
NL2Repo-Bench 47.0 45.1
OSWorld 78.8 78.7
MobileWorld (GUI-only) 73.1 54.7
CharXiv-RQ 85.4 83.2
MMMU-Pro 81.6 81.2
GDPVal 87.9 84.9
MCP-Atlas 83.8 81.6
SeedClawBench 66.6 66.4
Agents’ Last Exam 19.5 / 41.4 24 / 42.8
Toolathion 50.6 55.6
Apex Agents 33.8 35.4
Inference Input Price 6 yuan/million tokens
Inference output price 30 yuan/million tokens

Application scenarios of Doubao 2.1

  • Enterprise complex software developmentIt supports multi-file project delivery, code refactoring, long-term maintenance and automated testing, and is capable of handling high-value production tasks in real-world R&D scenarios.
  • AI Agent Automated ConstructionIt enables long-chain task orchestration, cross-platform GUI operation, and multi-tool invocation closed loop, covering end-to-end scenarios from enterprise production to individual employee efficiency improvement.
  • Multimodal content understandingIt is used for video analysis, mixed text and image reasoning, intelligent document processing and review, and supports fine-grained visual understanding needs.
  • Large-scale online service deploymentSuitable for high-concurrency API calls, cost-sensitive production environments, and batch inference tasks. The Turbo version can handle large-scale online traffic at a lower cost.