Core Insights - DeepSeek has launched its latest experimental model, DeepSeek-V3.2-Exp, which incorporates the revolutionary DeepSeek Sparse Attention (DSA) technology aimed at significantly enhancing long text processing efficiency [2][6][7]. Group 1: Technical Innovations - The introduction of the DeepSeek Sparse Attention (DSA) mechanism allows for fine-grained sparse attention, achieving a substantial increase in long text training and inference speed with minimal impact on model output quality [6][7]. - A rigorous evaluation was conducted to align the training settings of DeepSeek-V3.2-Exp with V3.1-Terminus, showing that the performance of DeepSeek-V3.2-Exp is comparable to V3.1-Terminus across various public benchmarks [10]. Group 2: Cost Reduction - The efficiency improvements have led to a significant reduction in API call costs, with a decrease of over 50%, benefiting developers by allowing them to build more powerful applications at a lower cost [4][12]. Group 3: User Engagement and Testing - DeepSeek has retained access to the V3.1 model's API for a limited time until October 15, 2025, allowing users to compare the new and old versions while enjoying the same pricing for both [15][16]. - Users are encouraged to participate in testing the experimental version and provide feedback, which is crucial for further refinement [15][18].
DeepSeek V3.2 发布:长文本能力新突破,API 价格砍半
Founder Park·2025-09-29 10:55