Core Viewpoint - The release of the Spark X2 model by iFlytek marks a significant advancement in AI healthcare solutions, showcasing superior performance compared to leading models in the industry [1] Group 1: Model Performance - The Spark X2 model demonstrates significant improvements in key tasks such as intelligent health analysis, report interpretation, dietary and exercise recommendations, diagnostic assistance, and medication review, outperforming DeepSeek V3.2, GPT-5.2, and Qwen3-Max [1] - The model has successfully passed authoritative evaluations from the Shanghai Medical Model Application Testing and Verification Center, establishing its credibility in the healthcare sector [1] Group 2: Service Capabilities - iFlytek's Xiaoyi has undergone a comprehensive upgrade, enhancing its capabilities in multi-turn consultations, medication inquiries, and interpretation of medical reports, maintaining a significant competitive edge in the industry [1] - The transition from "AI consultation tool" to "AI health steward" for end-users signifies a shift towards providing comprehensive health services throughout the care cycle [1] Group 3: Market Impact - The Spark X2 model empowers family doctors in the B-end market, improving the quality and efficiency of grassroots medical services, thereby unlocking practical value for medical AI [1]

Group 1: Market Performance - The Shanghai Composite Index rose by 0.09% to close at 4131.98 points, while the Shenzhen Component Index fell by 0.35% to 14160.93 points, and the ChiNext Index decreased by 1.08% to 3284.74 points [1] - The overnight performance of U.S. markets showed the Dow Jones Industrial Average down by 0.13%, the Nasdaq Composite down by 0.16%, and the S&P 500 unchanged [1] - The Philadelphia Semiconductor Index increased by 2.28%, with notable gains from NXP Semiconductors (up 5.55%) and Micron Technology (up 9.94%) [1] Group 2: Industry Insights - DeepSeek has updated its web and app versions to support a maximum context length of 1 million tokens, an increase from the previous 128K tokens [2] - The State-owned Assets Supervision and Administration Commission (SASAC) emphasized the need for central enterprises to enhance investment in computing power and promote the synergy of "computing power + electricity" to strengthen data governance capabilities [2] - The SASAC also called for a focus on independent innovation, particularly in breakthrough core technologies and the development of large models, to facilitate the transformation of innovative results into products and industries [2] Group 3: AI and Semiconductor Sector - Bohai Securities anticipates the launch of DeepSeek V4 during the Lunar New Year, which may drive a new round of technological iteration for domestic large models [3] - The upgrade of domestic large models like DeepSeek V4 is expected to accelerate technological innovation and application deployment in the AI sector [3] - The semiconductor equipment ETFs, such as the Sci-Tech Semiconductor ETF (588170), focus on semiconductor materials and equipment, benefiting from the AI revolution and domestic substitution trends [3]

Market Overview - As of February 11, 2026, the Shanghai Composite Index rose by 0.09% to close at 4131.98 points, while the Shenzhen Component Index fell by 0.35% to 14160.93 points, and the ChiNext Index decreased by 1.08% to 3284.74 points [1] - In the overnight U.S. market, the Dow Jones Industrial Average declined by 0.13%, the Nasdaq Composite fell by 0.16%, and the S&P 500 remained unchanged [1] - The Philadelphia Semiconductor Index increased by 2.28%, with notable gains from NXP Semiconductors (up 5.55%) and Micron Technology (up 9.94%) [1] Industry Insights - DeepSeek has updated its web and app versions to support a maximum context length of 1 million tokens, an increase from the previous 128K tokens in version 3.1 released last August [2] - The State-owned Assets Supervision and Administration Commission (SASAC) emphasized the need for central enterprises to enhance investment in computing power and promote the synergy between computing power and electricity, aiming to strengthen the foundation of the AI industry [2] - SASAC also called for central enterprises to focus on independent innovation, particularly in breakthrough core technologies and the development of large models, while fostering collaboration and open-source initiatives to build an AI industry ecosystem [2] AI and Semiconductor Sector - Bohai Securities predicts that the DeepSeek V4 model will be launched around the Lunar New Year, potentially driving a new round of technological iteration in domestic large models [3] - The acceleration of technology innovation and application in AI is expected to benefit from the rapid deployment of AI technologies and the release of market demand [3] - The Sci-Tech Innovation Semiconductor ETF (588170) and its linked funds focus on semiconductor materials and equipment, which are crucial for domestic substitution and are expected to benefit from the AI revolution and ongoing technological advancements [3]

Core Insights - DeepSeek is evolving beyond being just a "chatbot" base and is optimizing its large model's energy efficiency through architectural innovations, as evidenced by the recent release of new models and frameworks [1][3] - The competitive landscape is intensifying, with DeepSeek's new models being crucial for maintaining its industry position against major players like Google and OpenAI [1][2] Group 1: Technological Developments - In January 2024, DeepSeek released the Engram architecture, which separates "conditional memory" from "computation," aiming to reduce errors and save computational power [3] - The new model, referred to as MODEL1, is speculated to either be a lightweight model suitable for edge devices or a "long-sequence expert" designed for processing lengthy documents or code [3] - DeepSeek's commitment to cost-effective AI solutions is evident, as it aims to lower token costs, making AI development more accessible to a broader range of developers [4] Group 2: Market Position and Competition - The release of new models is seen as essential for DeepSeek to avoid falling behind competitors like Gemini 3 and GPT-5, which have demonstrated superior performance in various benchmarks [7][8] - Despite DeepSeek's strong position in the open-source community, the company faces pressure from the rapid advancements of closed-source models, which could lead to a loss of developer loyalty [10][11] - The competitive dynamics are shifting, with major internet companies increasing their investments in AI, potentially impacting DeepSeek's market share and the overall landscape for domestic AI companies [13][14] Group 3: Ecosystem and Community Impact - DeepSeek's open-source models, such as DeepSeek-V3 and R1, have gained significant traction, accounting for over half of the open-source token throughput in a short period [8][9] - The company has established a decentralized and pragmatic technical ecosystem, attracting developers interested in self-controlled and private deployments [4][6] - The ongoing developments in the open-source AI community are reshaping the narrative around Chinese AI capabilities, with DeepSeek playing a pivotal role in this transformation [5][6]

Market Dynamics - The State Council, led by Premier Li Qiang, emphasized the importance of cultivating new productive forces through the integration of artificial intelligence across various industries, aiming for high-quality development [1] - The State-owned Assets Supervision and Administration Commission (SASAC) urged central enterprises to enhance effective investment in computing power and promote the synergy between computing power and electricity, aiming to strengthen the foundation of the AI industry [1] Company Developments - Meta Platforms Inc. plans to invest over $10 billion to build a data center in Lebanon, Indiana, covering 4 million square feet and expected to be operational by late 2027 or early 2028, creating 300 long-term jobs and supporting over 4,000 construction workers [3] - Shanghai Suiruan Technology Co., Ltd. has changed its IPO review status to "inquired" on the Sci-Tech Innovation Board, focusing on cloud AI chip design since its establishment in 2018 [5] - NetEase reported a stable performance for 2025, with Q4 revenue of 27.5 billion yuan and total annual revenue of 112.6 billion yuan, achieving an operating profit of 35.8 billion yuan, a 21% year-on-year increase [6] - Newray Co., Ltd. plans to acquire a 70% stake in PCB tool company Huilian Electronics for no more than 700 million yuan, aiming to enhance its market competitiveness in the PCB tool sector [8] - Zhongji Xuchuang clarified that CSP customers place orders directly with the company, ensuring no bypassing of the company in the supply chain [7] - Zhongwei Semiconductor plans to establish an IPM production line project in Ziyang, Sichuan, using 121 million yuan of surplus fundraising for this initiative [10]

Core Insights - DeepSeek has released an updated model, enhancing its capabilities significantly [1][3] Model Enhancements - The context capacity has been upgraded to 1 million tokens from the previous 128,000, allowing for the processing of extensive content such as the entire "Three-Body Problem" trilogy [9][11] - The knowledge base has been updated to May 2025, indicating a new foundational model, potentially referred to as DeepSeek V4 [9][14] Performance Improvements - The frontend and coding capabilities have seen substantial improvements, now comparable to top competitors like Gemini 3 Pro and K2.5 [10][12] - The language style has become more lively and authentic, reducing inaccuracies and enhancing user interaction [10][13] Limitations - The model remains a pure text model and does not support visual understanding, focusing solely on text and voice inputs [14][15]

Core Viewpoint - DeepSeek has released a version update that supports a maximum context length of 1 million tokens, but it has not yet enabled multimodal capabilities [1][2]. Group 1: Version Update - The recent update for DeepSeek on both web and app platforms allows for a context length of up to 1 million tokens [1][2]. - As of now, the updated version does not support multimodal capabilities [1][2]. Group 2: Future Developments - Reports suggest that a minor update for the V3 series model is expected to be released around the Spring Festival [1][2]. - The next flagship model from DeepSeek is anticipated to be a trillion-parameter foundational model, but the significant increase in scale has slowed down the training speed, causing delays in the release process [1][2].

Group 1 - The core point of the article highlights the significant updates in the DeepSeek AI model, particularly its context processing capabilities and knowledge base freshness [1][3] - After updating to version 1.7.4, DeepSeek claims a context processing capacity of 1M, capable of handling the entire "Three-Body" trilogy [1] - The latest version, DeepSeek V3.2, released on December 1, 2025, shows an 8-fold increase in context capability to 128K compared to the previous version [3] Group 2 - The knowledge base of DeepSeek has been updated to reflect information up to May 2025, improving its relevance to significant events and technological advancements expected in late 2024 and early 2025 [3] - Currently, DeepSeek does not support multimodal capabilities, indicating a potential area for future development [3] - The official DeepSeek team has not made any public announcements or responses regarding these updates [3]

Core Insights - DeepSeek is advancing its new model version with a grayscale test, potentially the final version before the official V4 launch [1] - The V4 model is expected to be released in mid-February 2026, and it will not replicate the global AI computing demand panic seen during the V3 launch [2] - The core value of V4 lies in driving the commercialization of AI applications through underlying architectural innovations rather than disrupting the existing AI value chain [2] Model Enhancements - The context length of the model has been expanded from 128K to 1M, nearly a tenfold increase, and the knowledge base has been updated to May 2025 [1] - V4 is expected to introduce two innovative technologies, mHC and Engram, which aim to overcome computing chip and memory bottlenecks [2][8] - Initial internal tests indicate that V4 outperforms models like Anthropic Claude and OpenAI's GPT series in programming tasks [2] Technical Innovations - mHC (Manifold Constraint Hyperconnection) addresses the bottlenecks in information flow and training instability in deep Transformer models, enhancing the richness and flexibility of communication between neural network layers [4] - Engram is a "conditional memory" module that decouples memory from computation, allowing static knowledge to be stored in a sparse memory table, thus freeing up expensive GPU memory for dynamic calculations [6] Cost Efficiency and Market Impact - The introduction of mHC and Engram is expected to significantly reduce training and inference costs, stimulating downstream application demand and initiating a new cycle of AI infrastructure development [8] - The report suggests that Chinese AI hardware manufacturers may benefit from increased demand and investment due to these cost optimizations [8] Market Dynamics - The market landscape has shifted from a dominant player to a more fragmented competition, with DeepSeek's market share declining as more players enter the field [9][11] - The efficiency in computing management and performance improvements from DeepSeek are accelerating the development of Chinese large language models and applications, altering the global competitive landscape [11] Opportunities for Software Companies - Major global cloud service providers are actively pursuing general artificial intelligence, and the capital expenditure race continues [12] - If V4 can maintain high performance while significantly lowering training and inference costs, it will help developers convert technology into revenue more quickly, alleviating profit pressures [12] - Enhanced capabilities of V4 are expected to create more powerful AI agents, transforming them from mere conversational tools to capable assistants that can handle complex tasks [12]

新浪科技讯 2月11日晚间消息，多名用户反馈，DeepSeek在网页端和APP端进行了版本更新，支持最高 1M（百万）Token的上下文长度。而去年8月发布的DeepSeekV3.1上下文长度拓展至128K。 实测中发现，DeepSeek在问答中称自身支持上下文1M，可以一次性处理超长文本。提交超过24万个 token的《简爱》小说文档，DeepSeek可以支持识别文档内容。 之前曾有知情人士称，DeepSeek 春节更可能推出的是针对V3系列模型的小幅更新。但该人士同时透 露，真正的重头戏仍在路上。DeepSeek下一代旗舰模型预计将是一款万亿参数级别的基础模型，正因 规模大幅跃升，训练速度明显放缓，导致发布进程有所延后。 责任编辑：何俊熹 新浪科技讯 2月11日晚间消息，多名用户反馈，DeepSeek在网页端和APP端进行了版本更新，支持最高 1M（百万）Token的上下文长度。而去年8月发布的DeepSeekV3.1上下文长度拓展至128K。 实测中发现，DeepSeek在问答中称自身支持上下文1M，可以一次性处理超长文本。提交超过24万个 token的《简爱》小说文档，DeepSeek可以支持识别文档 ...