36Kr releases 2026 agent selection guide: Doubao vs DeepSeek six-dimensional in-depth comparison

36Kr AI Evaluation released the 2026 Agent Application Selection Guide, which compared Doubao and DeepSeek in depth from the six dimensions of multi-modality, reasoning, context, ecology, cost, and security, and proposed a "double engine collaboration" strategy.

The 36Kr AI evaluation team has released an in-depth selection guide focusing on the two domestic flagship models of DeepSeek and Doubao for the smart agent application scenarios in 2026. The report conducts a systematic comparison from six dimensions: multi-modality, inference, context window, ecological tools, usage cost, and data security, and proposes for the first time a "dual-engine collaboration" strategy - flexibly selecting the optimal model combination based on different task scenarios, rather than "choosing one of the two."

The core conclusions of the comparison in six dimensions:

  • Multi-modal capabilities: Doubao has stronger multi-modal support for native graphics, text and video. DeepSeek’s image recognition mode has just been launched but is good at reasoning.
  • Reasoning Power: DeepSeek V4 stays ahead in math, code and logical reasoning
  • Context Window: DeepSeek V4 series supports 1M ultra-long context, and Doubao also has long context capabilities
  • Ecological Tools: Doubao relies on the Bytedance ecosystem (Feishu, Jianying, etc.), and DeepSeek takes the open source community as its core
  • Cost of use: DeepSeek is more cost-effective in API pricing, and Doubao has additional value in enterprise-level services
  • Data Security: Doubao’s domestic compliance system is more complete, and DeepSeek’s open source model provides transparency advantages

The core recommendation of the report is "dual engine collaboration" - choose DeepSeek for reasoning-intensive tasks, and choose Doubao for multi-modal enterprise scenarios.

This is the first time in China that a professional organization has conducted a systematic six-dimensional comparison between DeepSeek and Doubao. The methodology itself has reference value for the industry. Doubao leads in ecological integration and multi-modality, while DeepSeek maintains its advantages in open source community and reasoning capabilities. The proposal of the "dual engine synergy" strategy shows that the competitive landscape of domestic models is moving from "either-or" to "complementary symbiosis", which has direct guiding significance for developers' actual selection.

The follow-up is worthy of attention:

  1. Can the selection guide be adopted as a standard reference framework for enterprise AI procurement decisions?
  2. DeepSeek’s catch-up progress and roadmap in multi-modal capabilities
  3. Can Doubao’s advantages in corporate security compliance be maintained?
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