Vercel launches DeepsecBench AI vulnerability benchmark
DeepsecBench is a benchmark framework that measures AI language models on their performance in discovering cybersecurity vulnerabilities across key metrics including accuracy, cost, and execution speed. Latest benchmark results show GPT-5.6 Sol securing the highest accuracy score, Kimi K3 achieving half the top score at one-fifth the cost, and Grok 4.5 earning the best score-to-cost ratio within the top ten models.
Automated security vulnerability discovery requires balancing high accuracy against non-trivial inference costs, making benchmark clarity essential for security teams.
• GPT-5.6 Sol leads overall model performance in detecting vulnerabilities.
• Kimi K3 serves as a budget-friendly option, offering 50% of peak performance at 20% of the cost.
• Grok 4.5 delivers the best performance-to-cost efficiency overall in the top 10 rankings.
DISCOVERED
2h ago
2026-07-27
PUBLISHED
2h ago
2026-07-27
RELEVANCE
AUTHOR
vercel