深度求索发布V4大模型预览版：参数达1.6万亿并支持百万字超长上下文DeepSeek Releases V4 AI Model Preview with 1.6 Trillion Parameters and Long Context

为了满足不同应用场景的需求，深度求索为V4模型设计了两种不同的版本：Pro版和Flash版。这两个版本在参数规模上存在显著差异，直接决定了模型的处理能力和运行效率。Pro版作为旗舰型号，拥有高达1.6万亿个参数，旨在处理最复杂的逻辑推理和大规模内容生成任务；而Flash版则相对精简，拥有2840亿个参数，更适合对响应速度有较高要求或计算资源有限的实时交互场景。这种分层策略使得企业和个人用户可以根据成本和性能需求灵活选择。

DeepSeek has adopted a tiered approach for the V4 release, making the model available in both a 'Pro' version and a more streamlined 'Flash' version. These versions are distinguished by their parameter counts, which serve as a primary determinant of the model's complexity and processing power. The V4-Pro stands as the flagship tier with 1.6 trillion parameters, optimized for complex logical reasoning and large-scale generation. In contrast, the V4-Flash version features 284 billion parameters, making it ideal for scenarios requiring faster response times or operating under limited computational resources.

与之前的V3模型一致，最新的V4升级版依然保持了开源特性。这意味着全球范围内的开发者不仅可以下载该模型的完整代码，还可以在本地硬件环境中运行并根据具体需求进行修改。这种开放性一直是深度求索吸引开发者社区的核心竞争力之一，使其技术能够迅速在全球范围内传播。通过允许本地运行，深度求索不仅降低了用户对云端API的依赖，还为那些对数据隐私有严格要求的行业提供了更具吸引力的解决方案。

Consistent with the strategy used for its previous V3 model, DeepSeek's latest V4 upgrade remains open source. This allows developers worldwide to download the underlying code, run the model on local hardware, and modify it to suit specific requirements. This commitment to openness has been a core competitive advantage for DeepSeek, enabling its technology to spread rapidly across the global developer community. By facilitating local execution, the startup reduces user reliance on cloud-based APIs and provides a compelling solution for industries with stringent data privacy and security standards.

深度求索V4的发布正值全球人工智能竞赛进入白热化阶段。作为一家以低成本、高性能著称的初创公司，深度求索的每一次动作都受到行业分析师的密切关注。去年R1模型的成功不仅证明了中国AI企业在算法优化上的实力，也迫使许多国际科技巨头重新审视其研发成本结构。V4预览版的推出，通过引入百万字超长上下文和万亿级参数，无疑将进一步加剧大语言模型领域的竞争，尤其是在处理长文档分析和复杂多轮对话的应用领域。

The release of DeepSeek V4 arrives as the global AI race reaches a fever pitch. Known for its ability to deliver high-performance tools at a lower cost, the startup's developments are closely watched by industry analysts worldwide. The success of the R1 model last year demonstrated the prowess of Chinese AI firms in algorithmic optimization and forced international tech giants to re-evaluate their own cost structures. By introducing a million-word context window and trillion-level parameters, the V4 preview is set to intensify competition in the LLM sector, particularly for long-form document analysis and complex multi-turn interactions.