国泰海通|计算机:DeepSeek-V3.2系列发布:推理能力对标顶尖闭源,开源生态引领应用落地
国泰海通证券研究·2025-12-04 12:46

Core Insights - The release of DeepSeek-V3.2 and its enhanced version V3.2-Speciale marks a significant advancement in open-source large models, achieving top-tier performance and practicality, particularly in reasoning capabilities and tool integration [2][3]. Group 1: Performance and Innovation - DeepSeek-V3.2 series has reached a breakthrough in core reasoning capabilities, matching the performance of top closed-source models and significantly outperforming some open-source models focused on long contexts [2]. - The Speciale version has excelled in international competitions, achieving gold medals in events like the International Mathematical Olympiad (IMO) and the International Collegiate Programming Contest (ICPC), where it ranked second among human competitors [2]. - The model innovatively integrates thinking modes with tool invocation, enhancing the agent's generalization and execution capabilities in complex scenarios [3]. Group 2: Technical Advancements - DeepSeek-V3.2 is the first open-source model to systematically incorporate chain-of-thought reasoning into the tool invocation process, utilizing a unique large-scale agent training data synthesis method [3]. - The model has undergone reinforcement learning across over 85,000 complex instructions in more than 1,800 environments, achieving the highest level among open-source models in untrained tool invocation assessments [3]. Group 3: Ecosystem and Market Impact - The comprehensive upgrade of DeepSeek-V3.2's open-source and API services is expected to accelerate technological penetration and drive a transformation in industrial application paradigms [4]. - The open strategy, combining performance and ecosystem openness, significantly lowers the application barriers for enterprises and developers, potentially leading to a large-scale, practical deployment of open-source models [4]. - This approach is anticipated to attract numerous developers to build vertical applications based on DeepSeek, forming a robust open-source application ecosystem centered around it [4].