The DeepSeek-V3.2 model combines simulated human-like reasoning with the use of external tools such as search engines, calculators, and code execution environments. In terms of overall performance, DeepSeek claims the model is comparable to OpenAI’s GPT-5.
A second version, DeepSeek-V3.2-Speciale, is designed specifically for advanced mathematics and complex problem-solving tasks. According to the company, this model can rival Google’s Gemini 3.0 Pro. DeepSeek notes that its results correspond to gold-medal-level performance in major international competitions, including the International Mathematical Olympiad (IMO), the International Olympiad in Informatics (IOI), and the International Collegiate Programming Contest (ICPC).
In addition, DeepSeek announced a new training approach for AI agents that enables them to achieve goals autonomously by interacting with their environment, analyzing data, and making decisions without continuous human supervision. The method reportedly spans more than 1,800 environments and over 85,000 complex instructions.
On November 6, Nvidia CEO Jensen Huang stated that China could ultimately emerge as the winner in the global AI race. He cited lower electricity costs and more flexible regulatory conditions in China as key advantages. Huang made the remarks after the administration of U.S. President Donald Trump upheld restrictions on exporting Nvidia’s most advanced AI chips to China, including the Blackwell series.
