Core Viewpoint - DeepSeek officially released DeepSeek-V3.1, marking a significant step towards the "Agent era" with enhanced capabilities in reasoning and task performance [1] Group 1: Product Upgrade - The upgrade includes a mixed reasoning architecture that supports both thinking and non-thinking modes in a single model [1] - DeepSeek-V3.1-Think can provide answers in a shorter time compared to its predecessor, DeepSeek-R1-0528 [1] - The new model shows significant improvements in tool usage and intelligent agent tasks through Post-Training optimization, resulting in stronger agent capabilities [1] Group 2: User Experience - The official app and web model have been synchronized to DeepSeek-V3.1, allowing users to switch freely between thinking and non-thinking modes via a "deep thinking" button [1]

Macroeconomic Dynamics - The Ministry of Commerce reported that rural online retail sales increased by 6.4% year-on-year from January to July 2025, with agricultural product online retail sales growing by 7.4% during the same period [1] - The National Energy Administration announced that total electricity consumption in July 2025 reached 10,226 billion kWh, a year-on-year increase of 8.6% [2] - The National Development and Reform Commission plans to conduct central frozen pork reserve collection to stabilize the pig market due to a slight decline in pork prices [3] Industry Developments - Anhui Province is accelerating the operation of a provincial artificial intelligence industry fund with a total scale of no less than 20 billion yuan to support the AI sector [4] - According to the China Index Academy, 20 distressed real estate companies have restructured debts exceeding 12 billion yuan as of August 2025 [5] Financial Institutions - Shenzhen has expanded its real estate financing coordination mechanism, including all compliant existing housing development loan projects in a "white list," with approved amounts reaching 549.3 billion yuan [7] - China Securities reported that Jiangxi Copper plans to reduce its stake in the company by up to 3% within three months [8] - Caida Securities achieved a 47.61% year-on-year increase in the underwriting scale of various credit bonds in the first half of 2025 [9] - Guoxin Securities is preparing to launch trading permissions for the growth tier of the Sci-Tech Innovation Board [10] Market Data - The Shanghai Composite Index closed up 0.13% on August 21, 2025, with a total trading volume of 2.42 trillion yuan [11] - The financing balance of the two markets increased by 153.22 billion yuan as of August 20, 2025 [12] - The Hong Kong Hang Seng Index fell by 0.24% on August 21, 2025, with notable stock movements in various companies [13] Company Dynamics - Sinopec reported a 39.8% year-on-year decline in net profit for the first half of 2025, with total revenue of 1.41 trillion yuan, down 10.6% [14][15] - Jishi Media announced a net loss of 232 million yuan for the first half of 2025, despite an 8.7% increase in revenue [16] - Bilibili turned a profit in Q2 2025 with a non-GAAP net profit of 560 million yuan, a significant improvement from a net loss in the previous year [17] - Xianlead Intelligent has successfully delivered mass production-level solid-state battery solutions and received multiple repeat orders from leading companies [18] - Vivo launched its first MR headset, the Vivo Vision Exploration Edition, which is not intended for consumer sales at this time [19] - DeepSeek released version 3.1 of its software, featuring improvements in reasoning efficiency and agent capabilities [20]

Macro Dynamics - The Ministry of Commerce reported that rural online retail sales increased by 6.4% year-on-year from January to July 2025, with agricultural product online retail sales growing by 7.4% during the same period [2] - The National Energy Administration announced that the total electricity consumption in July 2025 reached 10,226 billion kWh, a year-on-year increase of 8.6% [3] - The National Development and Reform Commission plans to conduct central frozen pork reserve storage to stabilize the pig market due to a slight decline in pork prices [4][5] Industry Developments - Anhui Province is accelerating the establishment of a provincial artificial intelligence industry fund with a total scale of no less than 20 billion yuan to support the AI sector [6] - The China Index Academy reported that 20 distressed real estate companies have restructured debts exceeding 12 billion yuan as of August 2025 [7] Financial Institutions - The Shenzhen Financial Regulatory Bureau revealed that 403 "white list" projects have been approved by banks in the region, with a total approved amount of 549.3 billion yuan [7] Company News - China Petroleum & Chemical Corporation (Sinopec) reported a 39.8% year-on-year decline in net profit for the first half of 2025, with revenue of 1.41 trillion yuan, down 10.6% [14] - Jishi Media announced a net loss of 232 million yuan for the first half of 2025, despite a revenue increase of 8.7% to 997 million yuan [15] - Bilibili reported a second-quarter revenue of 7.34 billion yuan, a 20% year-on-year increase, and a non-GAAP net profit of 560 million yuan, reversing a loss from the previous year [16] - Xian Dao Intelligent stated that it has achieved significant breakthroughs in solid-state battery production and has received repeat orders from leading domestic and international companies [17] - Vivo launched its first MR headset, the Vivo Vision Exploration Edition, which is not intended for consumer sales at this time [18]

这一变化标志着特斯拉在中国市场正加速其智能化服务的本地化进程，通过与本土领先的AI技术公司 合作，来提升其产品的竞争力。不过，尽管使用条款已经公布了技术合作方，但对于用户何时能真正体 验到这些增强的AI互动功能，官方暂未公布具体的上线时间。 凤凰网科技讯 8月21日，特斯拉正在为其车辆的语音助手功能引入更强的AI能力。根据特斯拉中国官网 最新更新的《特斯拉车机语音助手使用条款》，官方首次明确其语音助手将接入外部大模型技术，合作 伙伴包括字节跳动旗下的火山引擎和人工智能公司DeepSeek。 条款内容显示，特斯拉的语音助手将得到 火山引擎提供的Doubao大模型（云雀大模型）和DeepSeek Chat 的技术支持。这意味着，在具备AI互动能力的特斯拉车辆上，车主不仅能通过语音命令控制车辆 功能，未来还将能与语音助手 进行轻松聊天，以获取资讯、查询天气等，实现更自然的智能座舱交互 体验。车主可通过物理按键或"嘿，Tesla"等唤醒词激活该功能。 ...

🚨 Tesla China Reportedly Integrates DeepSeek Into In-Car Voice Assistant SystemTesla has integrated Chinese large language models from ByteDance and DeepSeek into its in-car voice assistant for customers in China, according to company documents.For voice command functions such as navigation, media playback and temperature control, Tesla relies on ByteDance’s Doubao model, while interactive AI conversations are handled by the startup DeepSeek.The integration is confined to China, where strict data localizati ...

人工智能迎来两则重磅利好。 首先是，政策层面的利好。8月21日，安徽省人民政府印发《打造通用人工智能产业创新和应用高地若干政策（2.0版）》 ，其中提出了9条具体政策举措，加速大 模型等人工智能技术赋能千行百业，推动安徽省率先进入通用人工智能时代。 在产业层面，DeepSeek今日宣布，DeepSeek-V3.1正式发布。 受此消息影响，DeepSeek概念股——每日互动尾盘直线拉升，截至收盘，大涨13.62%。DeepSeek在文 章中提到，DeepSeek-V3.1使用了UE8M0 FP8 Scale的参数精度。DeepSeek官微在置顶留言里表示，UE8M0 FP8是针对即将发布的下一代国产芯片设计。 安徽重磅发布 8月21日，安徽省人民政府印发《打造通用人工智能产业创新和应用高地若干政策（2.0版）》（以下简称《若干政策》），其中提到，充分发挥财政资金等引导作 用，撬动保险、信贷、基金等社会资本投向通用人工智能产业。加快运营总规模不低于200亿元的省人工智能产业主题基金，以参股方式支持市国资平台、经营主 体等设立通用人工智能领域子基金，满足企业和项目资金需求。建立健全保护改革、鼓励探索、宽容失误、纠正 ...

Core Insights - DeepSeek officially launched DeepSeek-V3.1 on August 21, featuring significant upgrades in its architecture and performance [1]. Group 1: Major Changes in DeepSeek-V3.1 - The new hybrid reasoning architecture allows the model to support both thinking and non-thinking modes simultaneously [2]. - Enhanced thinking efficiency enables DeepSeek-V3.1-Think to provide answers in a shorter time compared to DeepSeek-R1-0528 [2]. - Improved agent capabilities through post-training optimization have led to better performance in tool usage and agent tasks [2]. Group 2: API and User Experience Enhancements - The official app and web model have been upgraded to DeepSeek-V3.1, allowing users to switch freely between thinking and non-thinking modes via a "deep thinking" button [2]. - The DeepSeek API has also been upgraded, with deepseek-chat corresponding to non-thinking mode and deepseek-reasoner to thinking mode, expanding context to 128K [2]. - The API Beta interface now supports strict mode function calling to ensure outputs meet schema definitions [2]. Group 3: Performance Metrics - DeepSeek-V3.1 has shown significant improvements in multiple search evaluation metrics, outperforming R1-0528 in complex search tests requiring multi-step reasoning and expert-level multidisciplinary challenges [2]. Group 4: Technical Adjustments - DeepSeek-V3.1 utilizes UE8M0FP8Scale parameter precision and has made substantial adjustments to the tokenizer and chat template, resulting in noticeable differences from DeepSeek-V3 [3]. Group 5: Market Reaction - Following the announcement of DeepSeek-V3.1, DeepSeek concept stock Daily Interaction (300766) experienced a sharp rise in the late trading session [3].

Core Insights - The article highlights the significant advancements of DeepSeek V3.1, particularly in its ability to handle long contexts and improve programming capabilities, which positions it as a leading open-source model in the industry [1][3][4]. Performance Breakthroughs - DeepSeek V3.1 has achieved a breakthrough in context processing, expanding its context window to 128K tokens, doubling the previous version's capacity, allowing it to handle approximately 100,000 to 130,000 Chinese characters [1]. - The model's enhancements in memory management and attention mechanism have resolved issues related to context loss and fragmented responses in long text processing [1]. Application Scenarios - The model's 128K context capability significantly improves efficiency in legal document review and academic paper summaries, allowing for the input of complete lengthy documents while maintaining logical coherence and detail accuracy [2]. - In developer scenarios, the model supports large codebase dependency analysis and technical document parsing, demonstrating superior context retention and solving previous issues of output loops and information fragmentation [2]. Programming Capabilities - DeepSeek V3.1 has made comprehensive advancements in programming, redefining the performance boundaries of open-source programming models [3]. - In benchmark tests, it scored 71.6% in the Aider Polyglot multi-language programming assessment, outperforming competitors and showing improved accuracy in Python and Bash code generation [4]. Cost Efficiency - The model has achieved a significant cost reduction, with the average cost for completing typical programming tasks being only $1.01, which is 1/68 of closed-source models [7]. - This cost advantage is expected to disrupt the development processes of small and medium enterprises, promoting a shift towards localized, high-efficiency, and low-barrier programming tools [7]. Enhanced Agent Capabilities - DeepSeek V3.1 has improved its tool usage and function calling capabilities, transitioning from "cognitive" to "execution" roles, enhancing its task processing abilities [8]. - The model's compatibility with existing APIs reduces migration costs and enhances cross-platform collaboration efficiency [9]. Reliability and Development Efficiency - The introduction of the Beta version of Strict Mode ensures high accuracy in output formats, particularly in sensitive fields like finance and healthcare, achieving a 99% accuracy rate in data structure compliance [10]. - The model's template-based tool calling reduces integration time by 50%, significantly improving development efficiency [11]. Vertical Capabilities and Practical Applications - The model demonstrates high efficiency in code generation and repair tasks, with costs significantly lower than closed-source competitors [14]. - In enterprise DevOps processes, it automates the generation of deployment scripts, achieving a cost reduction of 1/30 compared to using other models [15]. API Pricing Adjustments - Starting September 6, 2025, DeepSeek V3.1 will adjust its API pricing strategy, with input prices set at 0.5 yuan per million tokens for cache hits and 4 yuan for misses, while output prices will be 12 yuan per million tokens [16]. - Despite some increases in single-call costs, the overall cost-effectiveness remains competitive due to improved token efficiency and faster inference speeds [17].

Core Insights - DeepSeek has announced the release of DeepSeek-V3.1, which utilizes UE8M0 FP8 Scale parameter precision [1] - The V3.1 version has made significant adjustments to the tokenizer and chat template, showing clear differences from DeepSeek-V3 [2] - DeepSeek's official WeChat account indicates that UE8M0 FP8 is designed for the upcoming next-generation domestic chip [3]

Core Insights - DeepSeek officially announced the release of version 3.1 on August 21, featuring significant upgrades including a hybrid reasoning architecture and improved response efficiency [1] - The pricing for API calls has increased, with new rates effective from September 6, including a removal of night-time discounts [2] - The market reacted positively to the news, with shares of Daily Interactive (300766.SZ) rising by 13.62% to 47.98 CNY per share [4] Group 1: Product Updates - DeepSeek V3.1 introduces a hybrid reasoning architecture that allows for flexible switching between thinking and non-thinking modes, enhancing agent capabilities [1] - The model utilizes UE8M0 FP8 Scale parameter precision and has undergone significant adjustments to the tokenizer and chat template, marking a clear distinction from DeepSeek V3 [1] - The foundational model of V3.1 has been retrained with an additional 840 billion tokens, and both the foundational and post-training models are available on Huggingface and MoDa [4] Group 2: Pricing Changes - The API call pricing has been adjusted, with input prices set at 0.5 CNY per million tokens for cache hits and 4 CNY per million tokens for cache misses, up from 2 CNY for V3 [2] - The output price has increased to 12 CNY per million tokens, compared to 8 CNY for V3 [2] Group 3: Market Reaction - Following the announcement, shares of Daily Interactive surged, attributed to its perceived connection with DeepSeek, as it was rumored to hold a 14.50% stake in the DeepSeek development team [4] - Daily Interactive clarified that it does not hold any equity in DeepSeek or its associated companies, despite previous speculation [4]