赚钱，DeepSeek 果然第一！全球六大顶级 AI 实盘厮杀，人手一万刀开局

Core Insights - The article discusses a competition called Alpha Arena, where six leading AI models are tested in a real trading environment with an initial capital of $10,000 each to determine which model performs best in stock trading [4][5][7]. Group 1: Competition Overview - The competition features top AI models including OpenAI's GPT-5, Google's Gemini 2.5 Pro, Anthropic's Claude 4.5 Sonnet, xAI's Grok 4, Alibaba's Qwen3 Max, and DeepSeek V3.1 Chat [5][6]. - Each model receives identical market data and trading instructions, simulating a level playing field for performance comparison [7][11]. Group 2: Performance Metrics - As of the latest updates, DeepSeek V3.1 leads with an account value of $13,677, achieving a return of +36.77% and a total profit of $3,677 [9]. - Grok 4 follows with an account value of $13,168 and a return of +31.68%, while Claude Sonnet 4.5 has an account value of $11,861 and a return of +18.61% [9]. - In contrast, GPT-5 and Gemini 2.5 Pro are at the bottom, with account values of $7,491 and $6,787, reflecting returns of -25.09% and -32.13% respectively [9]. Group 3: Trading Strategies and Decisions - The models are required to make trading decisions based on real-time data, including price indicators and account information, determining whether to hold, buy, or sell [11]. - DeepSeek's trading strategy has been noted for its effectiveness, attributed to its quantitative trading background [12]. Group 4: Market Dynamics and Model Adaptation - The performance of the models fluctuates significantly, with DeepSeek and Grok initially experiencing losses before rebounding, while GPT-5 and Gemini 2.5 Pro show a contrasting trend of initial gains followed by declines [28][33]. - The competition highlights the rapid changes in financial markets and the necessity for models to adapt quickly to evolving conditions [10][44]. Group 5: Implications for AI Development - The article posits that financial markets serve as an ideal training ground for AI, as they present complex, real-world challenges that require models to interpret volatility and manage risks effectively [49][50]. - The competition is framed as a new type of Turing test, assessing whether AI can survive in uncertain environments rather than merely demonstrating cognitive abilities [54].