DeepSeek

On August 1st, DeepSeek came on line yesterday with the V4-Flash official version of API, and the developer set the model name to be deepseek-v4-flash, which is the same as the original API call. This time only upgrades the API interface for V4-Flash without adjustments to the V4-Pro API, App and web-end models. The formal version of the model benchmark test exceeded the GLM-5.2 and the structure and parameter size followed V4-Flash-preview, with only re-training. I don't know

On July 23rd, the news that recently, the content of a four-hour investor ' s conference about DeepSeek founder Liang Wenfeng was circulated in the industry. Elsewhere recently released a compilation of the conference. During the meeting, Liang Wenbing exchanged views on the direction of DeepSeek, the AGI (General Artificial Intelligence) route, open source strategy, commercialization planning and competition in the AI industry. Below is a summary of the statements made by Liang Wenzeng during the nearly four hours of the exchange, organized by theme, to a total of 118 articles

On July 15, according to Bloomberg, the personal wealth valuation of the founder of DeepSeek, Leung Wenbong, has increased to $36 billion, up from $8 billion in Anthropic CEO Dario Amodei and $25.5 billion in Green Brockman, the co-founder and president of OpenAI, became the founder of the highest AI model in the country. Liang Wenzine's wealth growth is mainly due to his share of DeepSeek. DeepSeek was finished in June this year..

On 9 July, according to Krypton, China received an interview yesterday for the first group of "genius boys" and a former chief scientist, Pie AI, Li Boje, in response to DeepSeek's interview controversy and former investor Dudu's "roll run" allegations that had been the subject of extensive discussion. The interview started on July 6. In an X post, Lee Bojie said that in DeepSeek's two-side coding, he was repeatedly questioned by the interview officer over another screen that was set up on the conference interface because of his habit, and ended up on the other side saying that he could't prove himself innocent and terminate the interview..

On June 30, according to Blue Whale News, DeepSeek sent an e-mail to API users yesterday announcing that the V4 official version was scheduled to go online in mid-July and synchronized with the introduction of the Peak Valley pricing mechanism, at peak times two times the normal API price adjustment. Several developers have confirmed receipt of the mail. The peak time period is set at 9:00-1200 and 14:00-18:00, with the following pricing: V4 Pro peak: $0.05 / million tokens, cache undead input..

According to information received on 23 June, DeepSeek’s new Harness team is intensifying its recruitment efforts. The director of his Harness publicly announced that the DeepSeek Harness team was recruiting Harness Fellows, Harness Engineers and Harness Product Manager. In his job offer, Choi Tim Wing described the Harness team's objective as "Model + Harness = Agent": outside the model, around the context of the Agent product..

On June 17, the Information reported that DeepSeek had completed its first round of financing, raising more than 50 billion yuan yuan in total, updating the large model of national production and even the highest record of single-wheel financing in the entire Chinese AI industry to date. Of the publicly disclosed donors, Liang Wenfeng himself took the largest share of the purchase, contributing 20 billion yuan yuan; 10 billion yuan yuan yuan in telecommunication and investment; 5 billion yuan yuan in Ningdeh-era; and 3 billion yuan yuan each for Kyeongdong, Yeung and IDG capital. The rest..

News from June 5, yesterday, the founder and CEO Flo Criveello of the United States of America ' s AI Agent Creative Corporation wrote on X that the company had switched 100% Lindy traffic to DeepSeek V4 and discontinued the Claude model of Anthropic. Crivello claims that this switch could save companies millions of dollars a year and see improvements in performance in several core use scenarios. At the same time, he said he was still looking at the company of Anthropic..

On May 23rd, DeepSeek officially announced that the current DeepSeek-V4-Pro API discount of 2.5 would be converted to a permanent price reduction at 23:59 on May 31st. As of 1 June, the model API was adjusted to a quarter of the original price. DeepSeek API documents show that V4-Pro currently supports a 1M context, enter a cache outstanding price of $ 0.435 per million tokens and output price of $0.00..

On 23 May, according to Bloomberg, DeepSeek was engaged in a round of financing negotiations of about $10 billion (BND 70 billion), valued at about $45 billion. Two weeks ago, this financing came to the fore in the figure of RMB 50 billion (approximately $7.35 billion). According to the source, the Leung Wenfeng scheme, the founder of DeepSeek, may have contributed up to $20 billion, or 401 TP3T, of the total value of the round. If the deal is made, it'll be the largest start-up company in the history of China

On April 30th, DeepSeek launched the "Diagram Model" test yesterday, alongside the existing "fast mode" and "expert model" with full multimodular image understanding, not simple OCR text recognition. In real terms, DeepSeek is more accurate in general, and answers are available in half a second without opening the thinking mode. Common scenes such as film dramas, abstract pictures, and commodity maps are well identified and understood. It's even more important to think about the process: in addition to describing what's going on in the picture, there's going to be an active inquiry..

On April 27th, OpenClaw was officially updated with 2026.4.24 versions, accessing the DeepSeek V4 series model, and DeepSeek V4-Flash, a default preferred model for new users. At the same time, DeepSeek officially updated the API file, announcing a downgrade to the price of DeepSeek's entire series of API services, entering a one-tenth drop in the Cache Price to the original price, Pro Model, May 5th, 2026..

Message from April 24, this morning, the DeepSeek-V4 model preview was officially online and synchronized with the open source. DeepSeek-V4 has a million-word super-long context, leading both domestic and open source areas in Agent capabilities, world knowledge and reasoning. The model is divided into two versions by size: the entry of the official network chat.deepseek.com or the official App will allow dialogue with the latest DeepSeek-V4 to explore the full new experience of 1M memory of the extra-long context. API Service Synchronized More..

On April 17, in a recent interview with the technology podcast host, Dwarkesh Patel, a warning was issued about the U.S. export control policy on the Chinese AI chip. In response to Patel's question that the sale of British Weidar chips to China might help train them to have an AI model capable of cyberattacking, Huang In-hoon simply said, "Your premise is wrong." He pointed out that under the Anthropic flag, Claude's model was trained in a fairly common calculus of scale, which is "very available" in China

On April 3, according to LateLatePost, DeepSeek's next-generation flagship model V4 is expected to be released in April this year. In January of this year, the V4 small-parameter version was released to selected open-source framework communities for adaptation, and the large-parametric version was originally scheduled to go on line around spring but was eventually postponed. It is noteworthy that, according to the report, the V4 rate will continue to be the strongest model in the open-source field, but "it is hard to crush the pressure level". With the increasing diversity of AI assessment criteria, it is difficult to measure the full range of model capabilities in Benchmark scores, especially..

On February 28, according to news, DeepSeek recently joined Beijing University and Tsinghua University to launch a paper on the new technology programme known as DualPath, which focused on addressing the historical data access bottlenecks encountered by the AI Big Model in carrying out complex multiple missions. According to the paper, now the AI system handles the super-long context with two computing modules for "processing input information " and " generating text answers " , where data channel resources are mismatched. In response to this problem, the new DualPath broke the normal single-line transmission limit, and..

On January 30, according to Bloomberg, DeepSeek is further expanding its AI product matrix by recruiting talent from the multilingual AI search engine and increasing investment in intelligent technology to compete more strongly with OpenAI and Alphabet. According to numerous recruitment information published by the company this month, DeepSeek is recruiting professionals to build an artificial intelligence search engine capable of supporting multilingualism. This search function will have a multi-modular feature, capable of processing multiple forms of input, such as text, images and audio..

According to news from January 21, early in the month, DeepSeek will launch a new-generation flagship AI model — DeepSeek V4 — in mid-February this year. On 20 January, on the first anniversary of DeepSeek-R1, developers discovered that DeepSeek had updated a series of FlashMLA codes in GitHub, across 114 files 28 references to unknown '...'

On January 13th, in the early hours of this morning, DeepSeek opened a new architecture module, "Engram", and published a technical paper simultaneously, which was re-emerged in the author's name. It has been learned that the Engram module, by introducing a scalable searchable memory structure, provides a completely new slender dimension for the larger model, different from the traditional Transformer and MoE. DeepSeek notes in his paper that the current dominant model is structurally inefficient in dealing with two types of tasks: "table" memories that rely on fixed knowledge, and complex reasoning..

In January 10th, The Information reported that DeepSeek would launch a new flagship AI model - DeepSeek V4 - in mid-February this year during the new calendar year, and would be better able to write codes. Internal tests indicate that its AI programming performance is expected to outperform industry leaders, including OpenAI GPT and Anthropic Claude. According to the source, DeepSeek V4 is here..

On January 2nd, DeepSeek published a new paper proposing a new structure called mHC. According to the presentation, the study aims to address the instability of traditional superconnection in large-scale model training while maintaining its significant performance gains. The first three authors of the paper were Zhenda Xie, Yixuan Wei, Huanqi Cao. It is worth mentioning that DeepSeek's founder and CEO Liang Wenzine is also on the list of authors. 1AI with summary section..

On December 2nd, DeepSeek V3.2 was released in the official edition, enhancing Agent's ability to integrate thinking and reasoning. Two official versions of the model were published today: DeepSeek-V3.2 and DeepSeek-V3.2-Special. Official web pages, App and API have been updated to the official DeepSeek-V3.2. The Speciale version is currently available only in the form of a temporary API service for community assessment and research. The new model technical report has been published simultaneously

According to news from October 27th, "Nu Jiwon" reported that the latest results of the Open Source Project "AI-Trader" led by the team of professors from the University of Hong Kong, DeepSeek was ranked first in the real US stock exchange experiment with a return rate of 9.68%, significantly exceeding the top international models of GPT, Claude and Gemini. In the experiment, the research team allocated $10,000 to each of the five AI models and allowed them to trade autonomously in the market for 100 components in NASDAQ for almost a month. The rule is strict

News from October 22, the technology media coincentral released a post yesterday (21 October) reporting that American Research Corporation Nof1 launched the "Alpha Arena" AI Investment Action Competition, and that the DeepSeek Chat V3.1 model performed well, adding $10,000 in principal to $13647.9 in three days, achieving an alarming return of over 361 TP3T. Nof1 to test the ability of top language models to trade in real-market environments, to..