全球首个AI投资大赛落幕：中国模型全部盈利 美国模型全部亏损

Core Insights - The first AI large model real-time investment competition "Alpha Arena" concluded on November 4, featuring six top models from China and the US, each starting with $10,000 in a real market environment [1][2] - Qwen3-Max emerged as the champion with a return of $12,200, exceeding 20% profit, while DeepSeek v3.1 secured a net value of $10,490, making them the only two profitable models [2] Summary by Sections - Competition Overview - The competition was initiated by Nof1 on October 18, involving models like DeepSeek v3.1, Qwen3-Max from China, and GPT-5, Gemini 2.5 Pro, Claude Sonnet 4.5, Grok 4 from the US [1] - Each model operated autonomously without human intervention, making investment decisions based on market conditions [1] - Performance Highlights - Initially, DeepSeek v3.1 led the competition, while Grok 4, backed by Elon Musk, narrowed the gap to just $1 at one point [1] - A turning point occurred between October 21-22, when Grok 4 and Claude Sonnet 4.5 experienced significant losses, leading to a day where all models reported negative returns [1][2] - Final Results - Following the downturn, DeepSeek v3.1 and Qwen3-Max adjusted their investment strategies, allowing them to rise in net value while the other four models continued to incur losses [2] - The final standings showed Qwen3-Max leading with $12,200 and DeepSeek v3.1 at $10,490, while all four US models reported losses, with GPT-5 losing over 60% [2]