DeepSeek V3.2发布！实测效果惊艳，便宜是最大优势

Core Insights - DeepSeek has launched its V3.2 version, which reportedly matches the inference capabilities of OpenAI's GPT-5 while being significantly cheaper [1][22] - The V3.2 version includes two variants: a free version for users and a Speciale version that supports API access, which boasts enhanced reasoning capabilities [2][22] Performance Enhancements - DeepSeek V3.2-Speciale has demonstrated superior performance in various competitions, achieving gold medal results in IMO 2025, CMO 2025, ICPC World Finals 2025, and IOI 2025, outperforming GPT-5 High in all tests [4][22] - The introduction of the DeepSeek Sparse Attention (DSA) mechanism has fundamentally improved the efficiency of attention in AI models, reducing computational costs by over 60% and increasing inference speed by approximately 3.5 times [6][12] Cost Efficiency - The DSA mechanism allows for a significant reduction in the cost of processing long sequences, with costs dropping from $0.7 to $0.2 per million tokens during the pre-fill phase and from $2.4 to $0.8 during the decoding phase [12][22] - This cost reduction positions DeepSeek V3.2 as one of the most affordable models for long-text inference in its category [12][22] Tool Utilization - DeepSeek V3.2 allows the AI model to call tools during its reasoning process without requiring additional training, enhancing its general performance and compatibility with user-created tools [13][22] - The model demonstrates the ability to break down complex tasks and utilize different tools effectively, showcasing its decision-making capabilities [20][22] Market Impact - The release of DeepSeek V3.2 challenges the notion that open-source models lag behind closed-source counterparts, as it offers competitive performance at a fraction of the cost [22][23] - The DSA mechanism's cost revolution is expected to significantly impact the commercialization of AI models, making advanced AI applications more accessible to smaller enterprises and consumers [22][23]