A security company, Aikido, tested seven models, including Qwen3.8-Max, Claude Opus 5, Kimi K3 Max, DeepSeek V4 Flash, as well as GPT-5.6 Sol, Luna, and Terra. The tests included 32 recently disclosed vulnerabilities, with each model running three times. Qwen3.8-Max identified a total of 26 vulnerabilities over three rounds, achieving a recall rate of 81.3%, tying for first place with Opus 5, and an F1 score of 83.2%. Among the 26 vulnerabilities, Qianwen was able to consistently find only 10 across all three rounds, while Opus 5 and Sol identified 19 consecutively. Qianwen's total cost was approximately $821, which is only half that of Opus 5 and Sol, but still five times that of DeepSeek V4 Flash.
This content is provided for general informational purposes only and doesn't constitute financial, investment, legal, or tax advice. Any events, rewards, online promotions, or related information mentioned herein should not be considered a recommendation, solicitation, or invitation to purchase, sell, trade, or otherwise deal in any crypto assets. Crypto assets are highly volatile and may result in loss. The availability of WEEX services, products, and related events may vary by region. You are responsible for ensuring that your participation is in accordance with applicable local laws and regulations.

























From Miami to Milan, and from Paris to the Netherlands, WEEX's AI Trading emerged as the standout on-site activation across five major industry events, giving hundreds of users their first hands-on encounter with AI-driven trading through a risk-free simulated environment. The rollout marks a significant step in WEEX's broader strategy to make AI-powered trading tools accessible, intuitive, and engaging for a global audience — both online and offline.




