Bullish
DeepSeek-V4-Pro Detects 87.5% of Vulnerabilities in Three Rounds
11:28
DeepSeek-V4-Pro identified 87.5% of security flaws across three iterations, outperforming Claude Opus 5 and Qwen3.8 Max while maintaining costs at roughly one-ninth of competitors.
Woofun AI data shows that DeepSeek-V4-Pro-0813 achieved an 87.5% detection rate for 32 real vulnerabilities after three iterative runs, surpassing Claude Opus 5 and Qwen3.8 Max, which both reached 81.3%. The model averaged $7.34 per identified vulnerability, approximately one-ninth of the $66.97 cost for Opus 5. While single-run accuracy stood at 58.3%, subsequent iterations uncovered distinct issues, though the final confirmation rate for reported issues was 65.6%, the lowest among the eight tested models.
WOOFUN AI
Impact Assessment · Quick Read
The significant cost disparity suggests a shift toward high-efficiency inference models for automated security auditing, potentially lowering barriers for smaller entities. However, the low confirmation rate indicates that while volume detection is strong, human-in-the-loop verification remains critical to mitigate false positives. This performance profile may influence enterprise adoption strategies favoring iterative, low-cost scanning over single-pass high-accuracy solutions.
Generated by WOOFUN AI · For reference only, not investment advice
Comments
No comments yet.