Seek .(US:SKLTY) Hua Xia Shi Bao·2025-08-22 06:49Core Viewpoint - DeepSeek's recent update to version V3.1 has disappointed many users who were eagerly awaiting the release of the R2 model, which has been delayed for several months, leading to a decline in the company's popularity and user engagement [2][3][10] Group 1: Product Updates - DeepSeek released V3.1 on August 21, which ranked third on HuggingFace's trend list, but many users expressed dissatisfaction and called for the return of the previous R1 model [2][3] - The V3.1 update features a hybrid reasoning architecture that combines thinking and non-thinking modes, enhancing efficiency and aligning with trends seen in other major models like GPT-5 [4] - V3.1 offers faster response times and improved agent capabilities, with an expanded context of 128K after the API upgrade [5] Group 2: Pricing Changes - Starting September 6, DeepSeek will adjust its API pricing to 0.5 RMB per million tokens for cache hits, 4 RMB for cache misses, and 12 RMB for output, representing a middle ground between previous versions [5] Group 3: Competitive Landscape - Other domestic AI models, such as those from Zhiyu and Alibaba, are rapidly updating and releasing new features, creating a competitive environment that DeepSeek is struggling to keep up with [7][8] - The overall market for large models is intensifying, with significant advancements from both domestic and international competitors, including OpenAI's GPT-5 and Google's Genie 3 [9] Group 4: User Engagement and Market Position - DeepSeek's website traffic has been declining for four consecutive months, with a 9.63% average monthly decrease, and its app's monthly active users fell to 82.93 million in July, marking a significant drop [10]