DeepSeek突然宣布：最高降价75%！

Core Viewpoint - DeepSeek has launched a time-limited discount for its API services, significantly reducing the prices for its models during off-peak hours, aiming to enhance user experience and encourage usage [1][2]. Pricing Structure - The API pricing for DeepSeek models is measured in "million tokens," where a token represents the smallest unit of natural language text. The main models are DeepSeek-Chat (V3) and DeepSeek-Reasoner (R1) [2][4]. - During standard hours (08:30-00:30 Beijing time), the input price for V3 is ¥0.5 per million tokens, and for R1, it is ¥1. The output prices are ¥8 for V3 and ¥16 for R1. In the off-peak hours (00:30-08:30), the input price for both models drops to ¥0.25, and the output price is reduced to ¥4 [2][3][4]. Model Specifications - Both DeepSeek-Chat and DeepSeek-Reasoner have a context length of 64K tokens. The maximum reasoning chain length for R1 is 32K, while both models have a maximum output length of 8K tokens [3][5]. API Service Resumption - After a 19-day suspension due to server resource constraints, DeepSeek has reopened API recharge services, allowing developers to continue using their existing balance [4][6]. Open Source Initiative - DeepSeek has initiated an "Open Source Week," where it plans to release five software libraries over five days, aiming to accelerate its technology ecosystem and share advancements in artificial general intelligence (AGI) with the global developer community [6][8]. - The first open-sourced library, FlashMLA, is optimized for Hopper GPU, while DeepEP, a communication library for MoE model training, has also been made public [7][8]. Industry Trends - The trend towards open source in the AI model sector is gaining traction, with DeepSeek's success prompting other companies to reconsider their strategies. The debate between open and closed source models continues, with notable shifts in attitudes among major players [10][11][12]. - DeepSeek's emergence has highlighted the viability of the open-source model, demonstrating that it can be a strategic path for rapid market capture and technological innovation [14].