“价格屠夫”DeepSeek上线，新模型成本下降超50%

Core Insights - DeepSeek, known as the "price butcher," has significantly reduced its pricing for the newly released DeepSeek-V3.2-Exp model, with output prices dropping by 75% and overall API costs for developers decreasing by over 50% [1][3]. Pricing Changes - Input pricing for DeepSeek-V3.2-Exp has been adjusted: - Cache hit price decreased from 0.5 yuan per million tokens to 0.2 yuan per million tokens - Cache miss price reduced from 4 yuan per million tokens to 2 yuan per million tokens - Output pricing has been slashed from 12 yuan per million tokens to 3 yuan per million tokens [3]. Model Performance and Features - The V3.2-Exp model is an experimental version that introduces DeepSeek Sparse Attention, enhancing training and inference efficiency for long texts without compromising output quality [3][6]. - Performance evaluations show that DeepSeek-V3.2-Exp maintains comparable results to the previous V3.1-Terminus model across various public benchmark datasets [3][4][5]. Community Support and Open Source - DeepSeek has open-sourced GPU operators designed for the new model, including TileLang and CUDA versions, encouraging community research and experimentation [6]. - The model is now available on platforms like Huggingface and has been updated across official applications and APIs [5][6]. Industry Context - Following the recent release of DeepSeek-V3.1-Terminus, there is speculation about the future of the V4 and R2 versions, with industry voices expressing anticipation for major updates [6].