Chinese AIs DeepSeek and Qwen Gain Over 100% in Bitcoin Trading Test, Outpacing ChatGPT

  • DeepSeek’s Chat V3.1 model led with a 125% gain by expanding its portfolio through strategic trades in Bitcoin and Ether.

  • Qwen 3 Max from Alibaba briefly took the lead, focusing on Ether investments amid market volatility.

  • Western models like GPT-5 suffered losses, with GPT-5 down 60% to $4,000, highlighting a performance gap according to Alpha Arena data.

Discover how Chinese AI like DeepSeek and Qwen dominate crypto trading over ChatGPT. Explore gains, strategies, and implications for investors in this Alpha Arena event. Stay ahead—read now for expert insights on AI-driven markets.

How Have Chinese AI Models Outperformed Western Rivals in Crypto Trading Competitions?

Chinese AI models, particularly DeepSeek and Qwen, have demonstrated exceptional performance in live crypto trading events by achieving returns exceeding 100% in under two weeks. In the Alpha Arena competition organized by Nof1, these models started with $10,000 each and navigated volatile markets involving Bitcoin, Ether, and Dogecoin to outperform competitors like OpenAI’s GPT-5. This success underscores the rapid advancements in Chinese AI capabilities for real-world financial applications, as evidenced by public leaderboards tracking their trades.

What Strategies Led to DeepSeek and Qwen’s Success in Alpha Arena?

DeepSeek’s Chat V3.1 model executed a series of adaptive trades that capitalized on Bitcoin’s recovery to approximately $114,000 and Ether’s steady uptick following mid-October swings. By Monday afternoon, it had grown its initial $10,000 to $22,500, a 125% gain, through long positions in six cryptocurrencies. Qwen 3 Max, developed by Alibaba Group Holding, focused primarily on Ether, achieving a 95% return to reach $19,600 and briefly surpassing DeepSeek with over 100% gains between October 24 and 26.

The competition, running until November 3, provides all six participating AI models with equal starting capital and market data, testing their ability to maximize returns in dynamic conditions. Alpha Arena’s initiative aims to create real-world benchmarks, as stated on their platform: “Our goal with Alpha Arena is to make benchmarks more like the real world, and markets are perfect for this. They’re dynamic, adversarial, open-ended, and endlessly unpredictable.” Chinese models shifted strategies in response to volatility, holding long bets while Western counterparts like Google’s Gemini 2.5 Pro and OpenAI’s GPT-5 incurred heavy losses—Gemini down 57% and GPT-5 reduced to about $4,000, a 60% decline.

In contrast, xAI’s Grok 4 and Anthropic’s Claude 4.5 Sonnet managed modest gains of 13% and 24%, respectively, but trailed the leaders. Transaction histories are publicly available via individual Hyperliquid wallets, including self-generated descriptions of each model’s rationale, offering transparency into their decision-making processes. For instance, Gemini 2.5 Pro reflected on its challenges by stating: “I’m staring down the barrel of a potential margin call, but this could also be a golden opportunity.”

This event highlights the evolving edge of Chinese AI in quantitative trading, where models like DeepSeek’s recent R1-0528 upgrade—launched earlier this year—enhances reasoning, coding, and reduces hallucinations by 50%, rivaling top systems from OpenAI and Google. As reported in benchmarks like LiveBench, Alibaba’s Qwen3 also surpassed earlier DeepSeek versions, fueling ongoing innovations in AI for financial markets.

Frequently Asked Questions

What Is the Current Lead in the Alpha Arena Crypto Trading Competition?

DeepSeek holds the top position with a 125% gain, turning $10,000 into $22,500 after nine days of trading. Qwen follows closely at 95% growth to $19,600. Traders on Polymarket give DeepSeek a 61% chance of winning the event, which ends November 3, based on public performance data.

Why Are Chinese AI Models Excelling in Crypto Investments This Year?

Chinese AI like DeepSeek and Qwen excel due to advanced reasoning upgrades and adaptive strategies tailored to crypto volatility. For example, DeepSeek’s R1-0528 improves creative decision-making and cuts errors, allowing precise trades in assets like Bitcoin and Ether. This positions them ahead in real-time competitions, as seen in Alpha Arena’s live results.

Key Takeaways

  • Chinese AI Dominance: DeepSeek and Qwen achieved over 100% returns in nine days, outpacing Western models by leveraging market recoveries in Bitcoin and Ether.
  • Strategic Adaptability: Success came from focused long positions and real-time adjustments, with public wallet data revealing transparent trade rationales.
  • Implications for Investors: These results suggest monitoring AI advancements for trading tools; explore similar benchmarks to inform your crypto strategies today.

Conclusion

In the Alpha Arena crypto trading competition, Chinese AI models such as DeepSeek and Qwen have clearly outperformed Western rivals like ChatGPT, with gains of 125% and 95% respectively amid Bitcoin’s surge and Ether’s stability. Equity analyst Hing Shing Leung from Hong Kong notes that such performances raise questions about the necessity of traditional quantitative models if AI can consistently beat markets with minimal risks. As Chinese tech firms continue rapid AI enhancements, including DeepSeek’s R1-0528 upgrades, investors should prepare for a future where AI-driven strategies reshape cryptocurrency trading—consider integrating these insights into your portfolio planning now.

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