YOU ARE VIEWING ONE ITEM FROM THE AICRIER FEED

DeepSeek V4 Flash nears frontier CVE recall

AICrier tracks AI developer news across Product Hunt, GitHub, Hacker News, YouTube, X, arXiv, and more. This page keeps the article you opened front and center while giving you a path into the live feed.

// WHAT AICRIER DOES

7+

TRACKED FEEDS

24/7

SCRAPED FEED

Short summaries, external links, screenshots, relevance scoring, tags, and featured picks for AI builders.

DeepSeek V4 Flash nears frontier CVE recall
OPEN LINK ↗
// 1h agoBENCHMARK RESULT

DeepSeek V4 Flash nears frontier CVE recall

Aikido Security evaluated DeepSeek V4 Flash on a private benchmark of recently disclosed CVEs against top-tier frontier models. DeepSeek achieved a 75% pass@3 recall at $6.26 per CVE found—over 10 times cheaper than GPT-5.6 Sol—though lower precision (73.8%) requires downstream filtering.

// ANALYSIS

DeepSeek V4 Flash proves low-cost AI models are fast closing the recall gap with frontier LLMs in cybersecurity, though output filtering remains essential due to lower precision.

  • Superior Cost-to-Recall Ratio: At $6.26 per CVE found, DeepSeek delivers 75% pass@3 recall at a fraction of the price of premium models like GPT-5.6 Sol.
  • Precision Tradeoff: A 73.8% precision score highlights that low inference costs come with a higher rate of false positives requiring downstream triage.
  • Multi-Pass Variance: Single-run recall averaged 55.2% (17 to 19 CVEs), with only 12 CVEs found consistently across all three runs, showing that repeated sampling is critical to achieving near-frontier coverage.
// TAGS
deepseekcybersecuritycvebenchmarkllmrecallprecision

DISCOVERED

1h ago

2026-07-31

PUBLISHED

1h ago

2026-07-31

RELEVANCE

8/ 10

AUTHOR

AikidoSecurity