BABA(US:BABA) Sou Hu Cai Jing·2025-11-06 13:02Core Insights - The "AlphaArena" competition, initiated by the US organization nof1.ai, concluded on November 4, with Alibaba's Qwen winning first place, followed closely by DeepSeek v3.1, both of which were the only profitable models, outperforming four US models significantly [1][2][5]. Group 1: Competition Overview - The competition featured six leading AI models, including Alibaba's Qwen3-Max, DeepSeek v3.1, OpenAI's GPT-5, Google's Gemini 2.5 Pro, Anthropic's Claude Sonnet 4.5, and Musk's Grok 4 [3][4]. - The event lasted nearly three weeks, starting on October 18, where each model was given an initial capital of $10,000 to make independent investment decisions in real financial markets without human intervention [4][8]. Group 2: Performance Metrics - Qwen3-Max achieved a return of +22.32%, with an account value of $12,232, while DeepSeek v3.1 recorded a +4.89% return, bringing its account value to $10,489 [5]. - In contrast, all four US models, including GPT-5, Gemini 2.5 Pro, Claude Sonnet 4.5, and Grok 4, incurred losses, with GPT-5 suffering a loss exceeding 60% of its initial capital [5][6]. Group 3: Trading Strategies - DeepSeek employed a low-frequency, high-leverage strategy focusing on major cryptocurrencies like Bitcoin and Ethereum, resulting in stable returns [6]. - Alibaba's Qwen adopted a more aggressive approach, utilizing up to 30x leverage on Bitcoin trades, which led to significant volatility but ultimately secured its victory [6][10]. Group 4: Implications for AI Models - The competition showcased the real-world applicability of AI models in trading, emphasizing their strategy adjustment and risk assessment capabilities under market conditions [8][10]. - The founder of the organizing body highlighted the impressive market judgment and strategy execution of Alibaba's Qwen, suggesting that such competitions could set a benchmark for evaluating AI model practicality in the future [10].