DeepSeek's V4-Pro model costs $0.87 for 1 million output tokens

Chinese AI models are giving US counterparts a run for their money in terms of cost. Models from Moonshot AI, Z.AI, and DeepSeek are competing with US models on capability while undercutting them on price. For instance, DeepSeek-V4-Pro costs about $0.87 for 1 million output tokens, significantly cheaper than many US models.

Moonshot AI has released the weights for its Kimi K3 model, making it open-weight and comparable to Anthropic's Claude Fable and OpenAI's GPT-5.6 Sol. The model performs almost as well as frontier models while being 2-3x easier to run. Kimi K3's costs are significantly lower than its competitors, with input costing $3 per million tokens and output costing $15 per million tokens.

In other news, a novel called Daggermouth, likely generated with AI, has become a bestseller on Amazon and topped the science-fiction romance genre. This success has sparked interest in AI-generated content and raised questions about the role of AI in creative writing.

Google is making strides in quantum computing, with its platform gaining traction in the industry. The company has demonstrated several advancements in recent years, leveraging a combination of quantum and classical computing technologies.

Shares in China's ChangXin Memory Technologies (CXMT) have surged 470% in early trading. The company is a key player in China's efforts to develop homegrown suppliers and reduce dependence on foreign companies in the AI race.

Nvidia, Micron, and Amazon are three AI stocks that are considered relatively affordable compared to their peers. These companies are major players in the AI space, with market capitalizations of over $500 billion, $100 billion, and $1 trillion, respectively.

AMD is positioning itself as an AI winner, with CEO Lisa Su making strategic moves to boost the company's AI capabilities. The recent acquisition of Xilinx has given AMD a significant boost in the AI space.

AI stocks experienced a crash after reports emerged that NVIDIA plans to finance a $250 billion buildout of OpenAI's compute ambitions. This triggered a broad selloff across AI hardware names and raised concerns about the sustainability of the AI spending boom.

Finally, big tech credit risks are rising sharply as AI spending soars. The cost of borrowing for the world's biggest technology companies has risen to a record high, raising concerns about potential risks and challenges associated with developing and deploying AI models.

Key Takeaways

• Chinese AI models from Moonshot AI, Z.AI, and DeepSeek are competing with US models on capability and price.\n• Moonshot AI's Kimi K3 model is open-weight and comparable to Anthropic's Claude Fable and OpenAI's GPT-5.6 Sol.\n• A novel called Daggermouth, likely generated with AI, has become a bestseller on Amazon.\n• Google is gaining traction in quantum computing with its platform.\n• China's ChangXin Memory Technologies (CXMT) shares have surged 470%.\n• Nvidia, Micron, and Amazon are considered relatively affordable AI stocks.\n• AMD is positioning itself as an AI winner with strategic moves.\n• AI stocks crashed after reports of NVIDIA financing OpenAI's $250 billion compute buildout.\n• Big tech credit risks are rising sharply as AI spending soars.

Chinese AI Models Challenge US Leaders on Cost

Chinese AI models from Moonshot AI, Z.AI, and DeepSeek are competing with US models on capability and surpassing them on price. Moonshot AI's Kimi K3 model is among the top three AI models and can perform close to Anthropic's Fable 5 at a fraction of the cost. Chinese models now dominate much of the activity on OpenRouter, a popular marketplace for developers. The cost of 1 million output tokens from DeepSeek-V4-Pro costs about $0.87, while Z.ai GLM-5.2 costs $4.40.

Moonshot AI Releases Kimi-K3 Model Weights

AI-Generated Novel Becomes Bestseller

A novel called Daggermouth, which was likely generated with AI, has become a bestseller on Amazon and topped the science-fiction romance genre. The book's success has sparked interest in AI-generated content and raised questions about the role of AI in creative writing.

Google Emerges as Quantum Computing Leader

Google's quantum computing platform is gaining traction in the industry and has demonstrated several breakthroughs in recent years. The company's platform is based on a combination of quantum and classical computing technologies and has several advantages over traditional quantum computing approaches.

China's CXMT Stock Surges 470%

Shares in China's ChangXin Memory Technologies, known as CXMT, have surged 470% in the start of trading. The company is a leading player in China's drive to nurture homegrown suppliers and reduce its dependence on foreign companies in the AI race.

AI Stocks to Buy Now

Nvidia, Micron, and Amazon are three AI stocks that are relatively cheap compared to their peers. These companies are key players in the AI space and have a market capitalization of over $500 billion, $100 billion, and $1 trillion respectively.

AMD Positioned as AI Winner

AMD CEO Lisa Su has made bold moves to position AMD as an AI winner. The company's recent acquisition of Xilinx has given AMD a significant boost in the AI space. Su's vision for AMD's future is centered around the idea that AI will be a key driver of growth for the company.

Cadence Certifies AI-Driven Reference Flows

Cadence's AI-driven digital and custom reference flows, tools, and solutions are now certified on Intel 18A-P and Intel 14A technologies. The certification provides customers with a signoff-ready path to deploy advanced AI, high performance computing (HPC), and mobile SoCs on Intel Foundry's leading-edge nodes.

AI Stocks Crash After NVIDIA Plans

AI stocks crashed after a report that NVIDIA is planning to finance a $250 billion buildout of OpenAI's compute ambitions. The report triggered a broad selloff across AI hardware names and raised concerns about the sustainability of the AI spending boom.

Big Tech Credit Risks Rise

Big Tech credit risks are rising sharply as AI spending soars. The cost of borrowing for the world's biggest technology companies has risen to a record high, with the increase in borrowing costs and raised concerns about the potential risks and challenges associated with developing and deploying AI models.