Comparative Performance of Llama3, Codestral, and DeepSeek-R1 on Curated Vulnerability Detection Datasets

This report synthesises findings from 10 peer-reviewed papers addressing the following research question: How does the performance of Llama3, Codestral, and Deepseek R1 compare on a curated, high-quality vulnerability dataset with minimal duplication and label errors, measured by precision, recall, and. 9 claims were extracted from source literature; 9 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 8.5/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research goal: How does the performance of Llama3, Codestral, and Deepseek R1 compare on a curated, high-quality vulnerability dataset with minimal duplication and label errors, measured by precision, recall, and F1 score?

Autonomous literature synthesis. Automated review score: 8.5/10. Full text and citation available at Assignee Research.