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[1]
China's DeepSeek releases preview of long-awaited V4 model as AI race intensifies
DeepSeek reportedly has not shared its upcoming AI model with American engineers and instead granted early access to Chinese companies, further intensifying the technological war between the U.S. and China, as of Feb. 26, 2026. Chinese artificial intelligence startup DeepSeek on Friday released a preview version of its long-awaited Version 4 large language model, allowing users to test its new capabilities and features. The release comes more than a year after DeepSeek introduced its R1 reasoning model, which rocked global tech markets due to its surprising performance and efficiency, despite reportedly being developed for much lower costs than U.S. rivals. Similar to DeepSeek's previous V3 model, the latest upgrade is open source, allowing developers to download the code, run it locally, and modify it. The Hangzhou-based company claimed that Version 4 achieves strong performance against domestic competitors, particularly in agent-based tasks, knowledge processing and inference. The company added that DeepSeek-V4 has been optimized for use with popular agent tools such as Anthropic's Claude Code and OpenClaw. The model is available in both a "pro" and a "flash" version, depending on size. Founded in 2023, DeepSeek gained attention in late 2024 with its free, open-source V3 model, which it said was trained with less powerful chips and at a fraction of the cost of models built by the likes of OpenAI and Google. Weeks later, in January 2025, it released a reasoning model, R1, that hit similar benchmarks or outperformed many of the world's leading LLMs. The emergence of a globally competitive open-source model raised questions in tech markets about how the scale of spending on AI infrastructure would be impacted. Since then, DeepSeek has released a series of model upgrades, but none have matched the impact of R1. The company now faces growing competition in China's booming AI sector, with players like Alibaba and ByteDance also releasing new models this year.
[2]
DeepSeek's Sequel Set to Extend China's Reach in Open-Source A.I.
Meaghan Tobin reported from Taipei, Taiwan, and Cade Metz from San Francisco. When the Chinese start-up DeepSeek published details about one of its artificial intelligence models last year, it sent shock waves through the tech industry. The company said it had built its system by spending far less on computer chips than American rivals like OpenAI and Anthropic. It marked the start of what became known as China's "DeepSeek moment," shorthand for the belief that Chinese A.I. companies were ready to showcase their technical capabilities to the world. The DeepSeek moment reflected a shift in the global A.I. landscape. The change was not only about lower costs, but also openness in how the technology is shared. DeepSeek released its models as open source, which means others can freely use and modify them. By contrast, OpenAI and Anthropic kept their leading models proprietary. The episode demonstrated that an open-source system could perform almost as well as closed versions. In the months that followed, Chinese firms released dozens of other open-source models. By the end of 2025, these models made up a significant share of global A.I. usage. On Friday, DeepSeek released a preview of V4, its long-awaited follow-up model, which it intends to open source. The new model excels at writing computer code, an increasingly important skill for leading A.I. systems. It significantly outperformed every other open-source system at generating code, according to tests from Vals AI, a company that tracks the performance of A.I. technologies. DeepSeek released its new model just days after Moonshot AI, another Chinese start-up, introduced its latest open-source model, Kimi 2.6. While these systems trail the coding capabilities of the leading U.S. models from Anthropic and OpenAI, the gap is narrowing. The implications are meaningful. Using A.I. to write code is faster and frees up human programmers to focus on bigger issues. It also means people can use DeepSeek's latest release to power A.I. agents, which are personal digital assistants that can use other software applications on behalf of office workers, including spreadsheets, online calendars and email services. As A.I. systems improve at writing computer code, they are also getting better at finding security vulnerabilities in software -- a skill that is fundamentally changing cybersecurity. That means tools like DeepSeek's can be used to both attack and defend computer networks. Across tasks, DeepSeek V4 is on par with Moonshot's latest model. "They are basically neck-and-neck," said Rayan Krishnan, the chief executive of Vals AI. In the months leading up to DeepSeek's latest release, foreign rivals moved to pre-empt another round of glowing headlines. Silicon Valley's A.I. giants, Anthropic and OpenAI, said DeepSeek had unfairly piggybacked on their technology through distillation, a process in which engineers mimic a rival model by querying it millions of times and copying its behavior. The competition to build the best-performing A.I. systems has transformed into a geopolitical power struggle. While Silicon Valley leaders at Anthropic and OpenAI warn that their technology would be dangerous in the hands of autocratic countries, China has invested billions to become an A.I. superpower, viewing the technology as a critical engine of economic growth. DeepSeek's open-source models are central to this strategy. While many Western companies guard their most valuable models, China has embraced open source and almost all of its top-performing systems are widely available. Even so, Chinese A.I. firms face major hurdles. Three U.S. administrations have imposed export controls limiting access to advanced chips needed for cutting-edge A.I. systems. And firms in Silicon Valley continue to outspend Chinese rivals in the race for top A.I. talent. China's push into open-source A.I. has become a major economic advantage at home, according to a new study by a U.S. congressional advisory body. With few barriers to use, the systems have spread across industries such as robotics, logistics and manufacturing. The study found that these industrial applications generate real-world data that are used to improve A.I. systems. This approach has allowed Chinese tech firms to capture global influence, as programmers and engineers around the world adopt their systems to build new products. From Lagos to Kuala Lumpur, developers on tight budgets are turning to Chinese open-source models because they are cheaper to run and therefore easier to experiment with. Last May, Malaysia's deputy minister of communications said the country's sovereign A.I. infrastructure would be built on DeepSeek's technology. Chinese open-source models accounted for roughly one-third of global A.I. usage last year, according to a study by OpenRouter, an A.I. model marketplace. DeepSeek was the most widely used, followed by models from Alibaba, the Chinese internet company. That reflects a broader strategy. As Chinese companies expand abroad, making their systems open-source helps them gain traction with coders by offering cheaper, more accessible tools. "Open source is the soft power of technology of the future," said Kevin Xu, the U.S.-based founder of Interconnected Capital, a hedge fund that invests in artificial intelligence technologies. Mr. Xu and his fund do not invest in DeepSeek. Wei Sun, a principal analyst in A.I. at Counterpoint Research in Beijing, said DeepSeek's success paved the way for China's tech giants to release their A.I. systems publicly rather than closely guarding them. Alibaba has since emerged as a leader. Its Qwen model family has surpassed 1 billion downloads. ByteDance, parent company of TikTok, has also shared some details of its technology after spending $11 billion on A.I. infrastructure in 2024. "The A.I. generation of open-source builders from China was arguably the biggest A.I. story in 2025," Mr. Xu said. "The progress of the models, the pace of the releases, and the number of A.I. labs that both compete with each other but also seem to cheer each other on came fast and furious with no signs of slowing down."
[3]
China's DeepSeek releases long-awaited new AI model - The Korea Times
BEIJING -- Chinese startup DeepSeek released "preview" versions of a new artificial intelligence (AI) model on Friday, more than a year after it stunned the world with a low-cost reasoning model that matched the capabilities of U.S. rivals. The long-awaited DeepSeek-V4 "features an ultra-long context of 1 million words, achieving leadership in both domestic and open-source fields across agent capabilities, world knowledge and reasoning performance," the company said in a statement on social media. A "preview version" is now available, the company said. The new DeepSeek-V4 model is released as two versions, DeepSeek-V4-Pro and DeepSeek-V4-Flash, with the latter being "a more efficient and economical choice" because it has smaller parameters. "In world knowledge benchmarks, DeepSeek-V4-Pro significantly leads other open-source models and is only slightly outperformed by the top-tier closed-source model, (Google's) Gemini-Pro-3.1," the statement added.
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Chinese AI startup DeepSeek released a preview of its long-awaited V4 large language model, more than a year after its R1 reasoning model disrupted global tech markets. The open-source AI model features enhanced agent capabilities and computer code generation, positioning China as a formidable player in the AI race against U.S. competitors like OpenAI and Anthropic.
Chinese AI startup DeepSeek released a preview version of its DeepSeek V4 large language model on Friday, marking the first major release since its R1 reasoning model sent shock waves through global tech markets in January 2025
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. The Hangzhou-based company, founded in 2023, announced that the new AI model features an ultra-long context of 1 million words and achieves leadership in both domestic and open-source fields across agent capabilities, world knowledge, and reasoning performance3
. Similar to its predecessor V3 model, DeepSeek V4 will be released as an open-source AI model, allowing developers worldwide to download, modify, and run the code locally1
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Source: Korea Times
The model is available in two versions: DeepSeek-V4-Pro and DeepSeek-V4-Flash, with the latter offering a more efficient and economical choice due to smaller parameters
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. DeepSeek claimed that V4 has been optimized for use with popular agent tools such as Anthropic's Claude Code and OpenClaw, positioning it strongly for enterprise applications1
.DeepSeek V4 excels particularly at writing computer code, an increasingly critical skill for leading AI systems. According to tests from Vals AI, a company that tracks AI performance, the new model significantly outperformed every other open-source system at generating code
2
. This capability enables developers to use DeepSeek's latest release to power AI agents—personal digital assistants that can operate software applications including spreadsheets, online calendars, and email services on behalf of office workers2
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Source: NYT
The release came just days after Moonshot AI, another Chinese AI startup, introduced its latest open-source model, Kimi 2.6. While these systems still trail the coding capabilities of leading U.S. models from Anthropic and OpenAI, the gap is narrowing rapidly
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. Rayan Krishnan, chief executive of Vals AI, noted that across tasks, DeepSeek V4 is on par with Moonshot's latest model, stating "They are basically neck-and-neck"2
.The AI race has transformed into a geopolitical power struggle, with China embracing open source as a strategic advantage while Silicon Valley companies like OpenAI and Anthropic maintain proprietary models
2
. Chinese open-source models accounted for roughly one-third of global AI usage last year, according to a study by OpenRouter, an AI model marketplace, with DeepSeek being the most widely used, followed by models from Alibaba2
.From Lagos to Kuala Lumpur, developers on tight budgets are turning to Chinese open-source models because they are cheaper to run and easier to experiment with. Malaysia's deputy minister of communications announced last May that the country's sovereign AI infrastructure would be built on DeepSeek's technology
2
. This global adoption allows Chinese tech firms to capture influence as programmers and engineers worldwide adopt their systems to build new products.In world knowledge benchmarks, DeepSeek-V4-Pro significantly leads other open-source models and is only slightly outperformed by the top-tier closed-source model, Google's Gemini-Pro-3.1
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. However, DeepSeek now faces growing competition in China's booming AI sector, with players like Alibaba and ByteDance also releasing new models this year1
.Related Stories
As AI systems improve at writing computer code, they're also getting better at finding security vulnerabilities in software—a skill fundamentally changing cybersecurity. Tools like DeepSeek's can be used to both attack and defend computer networks, raising concerns among Western policymakers
2
. In the months leading up to DeepSeek's latest release, foreign rivals moved to pre-empt another round of positive coverage, with Silicon Valley's AI giants claiming DeepSeek had unfairly piggybacked on their technology through distillation—a process where engineers mimic a rival model by querying it millions of times and copying its behavior2
.Despite these accusations, China's push into open-source AI has become a major economic advantage at home, according to a new study by a U.S. congressional advisory body. With few barriers to use, the systems have spread across industries such as robotics, logistics, and manufacturing, generating real-world data used to improve AI systems
2
. Chinese AI firms still face major hurdles, including export controls imposed by three U.S. administrations that limit access to advanced chips needed for cutting-edge AI systems, while firms in Silicon Valley continue to outspend Chinese rivals in the race for top AI talent2
. Watch for how inference costs and reasoning performance continue to evolve as both sides compete for dominance in agent capabilities and world knowledge processing.Summarized by
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