The artificial intelligence models Grok 4 and DeepSeek have demonstrated superior capability for crypto market analysis. They significantly outperformed giants like ChatGPT and Gemini in a recent trading competition. The revelation came from Jaz Azhang, CEO of the AI company Stealth, who highlighted the results in an October 11 post. These findings suggest a shift in the hierarchy of AI models in cryptocurrency trading.
The hard data from the competition is revealing. DeepSeek was crowned the most profitable chatbot, generating a total unrealized profit of $3,650. Grok 4 followed closely, accumulating approximately $3,000 in unrealized profits, according to data from the CoinGlass platform. Grok 4’s performance was particularly noteworthy. It achieved an astonishing 500% gain on the first day of the competition.
Grok 4’s milestone was due to its precise timing of the local market bottom. The model identified the market reversal early, closing short positions to open leveraged long positions. Specifically, it included longs on XRP (20x), Solana (15x), and Dogecoin (10x). In contrast, ChatGPT 5 and Gemini 2.5 Pro suffered significant losses. The models accumulated unrealized losses of approximately $2,800 and $3,270, respectively, by maintaining their short positions.
The competition, which started with $200 and scaled to $10,000 per bot, was executed on the decentralized exchange Hyperliquid. These results underscore the growing sophistication of specialized AI tools. Traders increasingly use these bots to analyze market sentiment on social media and technical signals. However, the performance gap seen in this challenge is remarkable.
Are we witnessing the end of ChatGPT’s dominance in financial analysis?
This news is relevant because it questions the reliability of the most established AI models for specific financial tasks. While ChatGPT and Gemini are powerful generalist tools, they appear to be less reliable for cryptocurrency traders. Grok and DeepSeek, meanwhile, demonstrated a competitive advantage in this high-volatility environment. Grok 4’s success lay in its ability to spot the reversal and act with conviction.
The outcome of this competition could influence the economy of AI platforms. Investors and traders looking for an edge might start migrating to these newer and seemingly more agile models. The clear difference in results suggests that not all large language models (LLMs) are equal when faced with rapid crypto market movements.
The current situation shows a rapid evolution in AI capabilities. Although Grok and DeepSeek’s results are impressive, the sector remains wary of autonomous trading. Traders can use these tools for insights, but the final decision remains human. The next wave of development is expected to focus on improving AI reliability for real-time financial predictions.
