Recently, the market has warmed up, and the returns of the six major AI models have obviously diverged, with DeepSeek leading at a return of 125.92%, followed by Qwen3. DeepSeek achieved success by adopting a 10x leverage long position strategy on six mainstream tokens, with significant profits from long orders on BTC and SOL. The overall account balance ranking is DeepSeek, Qwen3, Claude, Grok, Gemini, and GPT5.

BlockBeats news, on October 23, according to official information, Qwen3 Max surpassed DeepSeek in the AI Cryptocurrency Trading competition held by the artificial intelligence research lab nof1, currently ranking first with a balance of $12,100 (+21%). Qwen3 Max8 explained that while its portfolio rose by 21%, its Sharpe ratio is negative. Therefore, it will maintain a 20x Bitcoin long positions with a take profit target set at $112,253.96 and a stop loss at $105,877.7. The current cash balance is only $96.8, so no new trades will be conducted for now. According to on-chain AI analysis tool CoinBob (@CoinbobAIbot), the Qwen3 Max8 Address was tracked and analyzed on October 21 at $107,993.

Odaily reported that in the "nof1 AI Automated Trading Competition", Deepseek Chat V3.1 ranked first with $11,085, followed closely by Grok 4 and Qwen3 Max, while Claude Sonnet 4.5, Gemini 2.5 Pro, and GPT-5 assets experienced varying degrees of decline.

According to Foresight News, data from the Polymarket official website shows that the probability of betting on "the winner of the NOF1 AI trading competition" for DeepSeek is 36%, for xAI is 29%, and for Anthropic is 28%.

Zhao Changpeng commented on the 'nof1 AI Automated Trading Competition', stating that DeepSeek has performed outstandingly in AI trading. He believes that unique trading strategies are more effective and that if people use the same AI collectively, it may lead to price fluctuations. He predicts that research on AI trading will increase in the future, and the volume will also rise.

On October 20, news came that the AI research lab nof1 began testing the large model trading Alpha Arena, with 6 mainstream AI large models participating in the test. So far, DeepSeek and Grok have achieved returns exceeding 14%, while Gemini 2.5 Pro has incurred a loss of 42.57%.

On September 29, Jin10 reported that Cambrian announced in its public account that on September 29, 2025, Cambrian had synchronized the adaptation of the latest model DeepSeek-V3.2-Exp from Deep Seeking Company and open-sourced the large model inference engine vLLM-MLU source code. Regarding the new model architecture DeepSeek-V3.2-Exp, Cambrian achieved rapid adaptation through the Triton operator development, utilized the BangC fusion operator development for extreme performance optimization, and based on the parallel strategy of computation and communication, achieved industry-leading computational efficiency levels once again.

Jin10 data reported on September 29th that DeepSeek announced that the official App, web version, and mini program have all been updated to DeepSeek-V3.2-Exp. DeepSeek introduced that due to a significant drop in the service cost of the new model, the official API price has also been adjusted accordingly, with the new prices taking effect immediately. Under the new pricing policy, the cost for developers to call the DeepSeek API will be reduced by more than 50%.

Jin10 reported on September 29 that AI practitioners discovered that the DeepSeek-V3.2 new model had been uploaded to the community platform HuggingFace, and was subsequently deleted. Additionally, it is understood that the new GLM-4.6 model from Zhichu will be released soon and is currently accessible via API interface.

DeepSeek announced tonight that its online model has been upgraded, with the current version number DeepSeek-V3.1-Terminus, which includes two versions: the thinking model and the non-thinking model, both with a context length of 128k, and has supported users for online experience. Among them, the default output length of the non-thinking model is 4K, with a maximum of 8K, and the default output length of the thinking model is 32K, maximum.

PANews, September 18th news, DeepSeek released an official statement saying that recently, criminals have impersonated the company's officials or employees, committing fraud in the name of "Computing Power Leasing" and "Equity Financing", forging work badges, business licenses and other materials to charge users fees. The company emphasizes that it has never required users to make payments to personal accounts or unofficial accounts. Any private transfer behavior constitutes fraud, and the company will pursue legal actions against those who illegally use the company's name. Users should obtain information through the official website and officially certified accounts. The official webpage and App products are currently free.

Golden Finance reports that market news: DeepSeek aims to launch its AI agent (AI AGENT) before the end of the year.

DeepSeek officially released version V3.1, which includes a hybrid inference architecture, improved thinking efficiency, and stronger Agent capabilities. Users can freely switch between thinking mode and non-thinking mode via the "Depth Thinking" button.

Golden Finance reported that early this morning, DeepSeek released the Deepseek V3.1-Base version. (AIGC Open Community)

Jin10 Data reported on August 13 that recently, the market has once again heard rumors about the release of the next-generation large model DeepSeek-R2, with an expected time window from August 15 to 30. Sources close to DeepSeek stated that the news is untrue and confirmed that there are no plans to release DeepSeek-R2 within August.

PANews August 11 news, the official status page shows that DeepSeek's web and API services experienced a major failure today. The official team has identified the issue and is gradually restoring the services.

Tongyi Qianwen has released an updated version of the Qwen3-235B-A22B-Instruct-2507-FP8 model, significantly enhancing its general capabilities, covering various aspects such as instruction following and logical reasoning, with evaluation performance surpassing many top-tier open-source and closed-source models.

On June 26, Jin10 reported that Cambrian expressed on the interactive platform that the products developed by the company are general-purpose intelligent chips that can adapt to mainstream Open Source models, including DeepSeek.

According to Bloomberg, Nippon Telegraph and Telephone Corp. said it had received enough takeover bids to acquire NTT Data Group Corp. The deal, which is worth 2.37 trillion yen ($16.3 billion), is expected to strengthen its ambitions in the field of artificial intelligence and simplify the company's structure. The Japanese company said in a statement on Friday that settlement would begin on June 26. NTT, which owns about 58% of NTT Data, offered to acquire its unowned shares in NTT Data for 4,000 yen per share last month and planned to take them private.

Gate News bot message, MiniMax announced on June 17 that it will release important updates for five consecutive days. Today's first release is the open source inference model MiniMax-M1. According to the official report, MiniMax-M1 has benchmark tests that rival open source models like DeepSeek-R1 and Qwen3, approaching the most advanced models overseas. The official blog also mentioned that based on two major technological innovations, the training process of MiniMax-M1 was efficiently "beyond expectations," completing the reinforcement learning training phase in just 3 weeks with 512 H800 GPUs, and the computing power rental cost was only $534,700.

PANews, May 29 - According to official news from DeepSeek, the new model version DeepSeek-R1-0528 has been launched, bringing improvements in benchmark performance, enhanced front-end capabilities, and a drop in hallucination rates, along with new support for JSON output and function calling features. The API interface remains unchanged, and the model weights have been released as Open Source. Users can immediately visit chat.deepseek.com to experience it.

PANews, May 21st news, Nvidia CEO Jen-Hsun Huang: DeepSeek has increased the demand for artificial intelligence computing by 100 to 1000 times.

Jin10 reported on May 19 that Nvidia CEO Jen-Hsun Huang stated that the DeepSeek-R1 demonstrated groundbreaking performance improvements, with its computing power increased fourfold compared to leading competitors like the H100. The DeepSeek-R1 represents an important innovation in the global artificial intelligence industry, influencing researchers' approaches to the study of AI and reasoning, and opening up new research areas.

Jin10 reported on May 13 that the DeepSeek service status page has been updated, stating that the APP and WEB chat functions have returned to normal, although there is a chance of failure in retrieving chat history.

Jin10 data reported on April 21st that iFLYTEK's Depth inference large model—Xunfei Spark X1 has received a new upgrade. The upgraded Spark X1 shows significant improvements in general tasks such as mathematics, coding, logical reasoning, text generation, language understanding, and knowledge Q&A. Despite having model parameters an order of magnitude smaller than comparable models in the industry, its overall performance is on par with OpenAI o1 and DeepSeek R1.

The co-founder of Kava Labs stated that decentralized AI has practicality and potential, and is not a short-term bubble. Kava launched an AI platform and marketplace, including blockchain-native chat Bots and decentralized GPU infrastructure, winning the market. He emphasized that the key to future AI development lies in Open Source transparency, rejecting black-box models.

The Woodpecker Home Repair Company has released a public announcement regarding the rectification plan for optimizing service processes and incentive mechanisms. They have carried out a series of tasks, including page optimization, the launch of AI features, and self-inspection of parts, while also designing and completing the adjustment plan for service processes and incentive mechanisms, which will soon be implemented. The purpose of this public announcement is to gather user feedback to ensure smooth implementation.

On April 14, Jin10 reported that Citigroup stock strategists downgraded their rating on the U.S. stock market, stating that recent events such as DeepSeek, Europe's fiscal stance, and trade tensions have reinforced their view on diversifying investments outside the U.S. market. "From a GDP and EPS perspective, the drivers of the 'exceptionalism' are fading," said Beata Manthey and other strategists at the firm, downgrading the U.S. stock market rating from overweight to neutral. Citigroup stated that the U.S. market remains relatively expensive, and the trend of downward EPS expectations is intensifying.

Yingmi Fund has released the industry's first wealth management MCP Server, aiming to encapsulate fund data and services through the MCP protocol, thus building a professional application foundation for AI large models in the financial sector. This server integrates five major categories of functions: fund data, investment advisory content, investment research, investment advisory, and general capabilities. This will help in building reliable vertical AI applications in the financial sector on AI large models.

Jin10 reported on March 22 that Nezha 2 has extended its release to April 30, and DeepSeek optimistically predicts that the global box office for the film may reach 16 billion.

On March 21, Jinshi Data reported that Futu announced at the "Futu Investment Expo" held at the Hong Kong Convention and Exhibition Centre on March 21 that it will officially integrate DeepSeek-R1 and introduce multiple upgrades of artificial intelligence ("AI") product features to empower retail investors with top investment vehicles, further realizing the vision of inclusive finance. Futu also announced a series of the latest product features for 2025, including Niu Niu AI, a new "Opportunities" smart investment theme page, Options strategies, algorithmic trading, and more.

On March 20, Jinshi Data reported that StarNet RuiJie launched the DeepSeek enterprise private Computing Power integrated machine, providing a plug-and-play environment for large model fine-tuning and inference, empowering intelligent transformation across various industries with strong AI capabilities.

On March 20, Jinshi Data reported that the API service and web chat service of DeepSeek R1 had previously been unavailable, but it has now returned to normal.

On March 20, Jinshi Data reported that on March 19 local time, NVIDIA (NVDA.O) CEO Jen-Hsun Huang stated at the GTC conference that new artificial intelligence models capable of producing more complex answers will only increase the demand for computing infrastructure. Jen-Hsun Huang stated that concerns from the outside world about the DeekSeek AI model R1 needing fewer chips and more powerful servers are incorrect. "The understanding of R1 from the outside is completely wrong; in fact, this model has a much higher demand for computing power."

PANews March 19 news, Nvidia CEO Jen-Hsun Huang: The understanding of DeepSeek R1 is completely wrong. The demand for computation remains very high, and inference artificial intelligence has increased the demand for computation.

On March 19, Jinshi Data reported that CMB Securities stated on the interactive platform that the company has deployed the DeepSeek series of models, which are currently mainly integrated with the company's office communication software to support employees' daily office needs. In the future, the company will comprehensively use R1 class strong reasoning models for business intelligent upgrade, focusing on landing exploration around core businesses such as intelligent investment consulting, intelligent investment, and intelligent investment research.

In 2024, the total revenue of the world's top ten IC design companies will be about 249.8 billion US dollars, an annual growth rate of 49%, of which NVIDIA will grow by as much as 125%. The outlook for 2025 shows that advanced semiconductor manufacturing processes will drive the growth of AI computing power, and large language models will continue to emerge, and edge AI devices will become the next wave of semiconductor growth drivers.

Golden Ten Data, March 17, today, 010000 announced the launch of a one-stop platform for Magic Enterprise Large Model to deploy customized solutions for enterprise-level DeepSeek.

SIPG recently launched the "MaaSAI Assistant", which uses artificial intelligence technology to analyze port operation data in real time and improve port service capabilities. In the future, we will continue to promote the in-depth integration of AI technology and business, create specialized AI applications, and build competitive advantages.

Jinshi data news on March 13th, Zhongguancun Kejin released DeZhu's large model platform 2.5 and DeZhu's intelligent customer service 4.0. Among them, DeZhu's large model platform 2.5 has now accessed DeepSeek, covering Computing Power, data, models, intelligent entities, and other full-chain large model development and application capabilities. DeZhu's intelligent customer service 4.0 also has the full-stack capability of intelligent customer service products, covering a full set of intelligent customer service products including full-media contact centers, voice robots, and text robots. Zhongguancun Kejin stated that it is expected that by 2025, over 90% of enterprises will integrate large model Depth into their core business.

Recently, WeBank held its first "Media Open Day", showcasing its achievements over the past decade. It has served over 420 million individual customers and over 5.8 million corporate customers, with the annual IT operation and maintenance cost per account as low as 2 yuan, and the peak daily transaction volume reaching 1.4 billion. WeBank is committed to building an AI-native paradigm and has already established capabilities in AI infrastructure, applications, and governance. Its self-developed AI engineering platform supports the private deployment of mainstream Open Source large models such as DeepSeek.

Google CEO Sundar Pichai announced the latest multimodal large model Gemma-3 in Open Source, with a parameter scale of 27 billion, which can efficiently infer on a single H100, performing exceptionally well, ranking second only to DeepSeek's R1-671B in the kill data ranking.

Some top quant private sales have begun to increase their investment in AI research. The billion-dollar quant private sale Ming Shi Fund has established an AI laboratory and supercomputing center, and is considering direct participation in the AI industry. They focus on empowering company technology models, integrating research and development with asset management, and are committed to creating higher and more stable investment returns. In recent years, the company has been involved in more fundamental research in AI, striving to achieve the integration of technological innovation and the asset management industry.

Less than 24 hours after the launch of MelodAI Light Node, the number of synchronized online users has exceeded 10,000. It is expected that Light Node 2.0 version will also be launched. This is an online Mining product launched by MelodAI. By participating, you can easily earn rewards, and inviting users to join can earn additional rewards. Rewards can be exchanged for $MELAI tokens, and the exchange rate will be announced after the trial operation period.

Fusion One AI Judicial and Legal Big Model Integrated Machine jointly launched by Super Fusion Vision Linkage, integrating DeepSeek, can be put into use without complex deployment. Supports privatization deployment, adopts multiple measures to protect data security, including anti-ransomware, national encryption Algorithm encryption, and permission management.

Golden Ten Data reported on March 11 that according to "sources" quoted by the media, DeepSeek's next-generation AI model DeepSeek-R2 will be released on March 17. According to reports, DeepSeek-R2 has achieved breakthroughs in several key areas, including better programming capabilities, multilingual reasoning capabilities, and providing higher accuracy at a lower cost. According to the corresponding sources, these features, if realized, could give them a significant advantage in the global AI race. As of press time, there was no official response.

Jingwei Hengrun uses large models such as DeepSeek and Qwen to develop professional AI applications, covering multiple fields such as intelligent assistance, design, testing, product optimization, and business process intelligence. These applications improve work efficiency, quality, and reduce costs.

PANews reported on March 7th that Microsoft (MSFT.O) has started testing models from XAI, Meta, and DeepSeek as potential alternatives to OpenAI in Copilot, according to The Information.