DeepSeek unveils V3.2 AI models matching GPT-5 and Google Gemini 3.0 Pro performance at fraction of the cost, introducing breakthrough sparse attention and reasoning-with-tools capabilities in open-source release.

DeepSeek version 3.2 outperformed GPT-5 and Gemini Pro on math and logic benchmarks, improving your code answers and problem solving.

China’s AI race is increasingly defined by two very different bets. ByteDance is turning its vast consumer empire into a distribution machine for everyday AI, while DeepSeek is trying to win on raw model quality and technical credibility.

Competition among leading global tech companies in the AI model arena is intensifying. In August, OpenAI launched its flagship model, GPT-5, describing it as its smartest and fastest model to date. And in November, Google released its latest AI system, Gemini-3.0-Pro.

DeepSeek 3.2 introduces DeepSeek Sparse Attention for long context, improving tool use while keeping memory across calls, finish multi-step tasks faster

With impressive benchmark results, the Chinese AI lab's latest open-source release reignites questions about whether expensive models are worth it.

Last week, DeepSeek released updated AI models. Ian says they might show China catching up to the U.S. in the AI race.

Chinese AI models have staged a silent revolution and now account for nearly 30% of global open-source AI usage. It is a dramatic rise that reflects a major shift in the technology landscape, as Chinese-developed systems challenge the Western dominance despite ongoing restrictions on advanced chip access.

With high expectations of a festive recovery, DeepSeek AI gives surprising best and worst case scenarios for current XRP, ADA and PI holders.