182 models ranked for security auditing. Heavy bonuses for reasoning (vulnerability analysis), large context (full codebase review), function calling (security tool integration), and JSON mode (structured reports).
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.4 ProOpenAI | 92 |
| 2 | GPT-5.4OpenAI | 92 |
| 3 | GPT-5.2 ProOpenAI | 91 |
| 4 | Claude Opus 4.6 (Fast)Anthropic | 90 |
| 5 | Claude Opus 4.6Anthropic | 90 |
| 6 | GPT-5.2-CodexOpenAI | 90 |
| 7 | GPT-5.2OpenAI | 90 |
| 8 | GPT-5.3-CodexOpenAI | 89 |
| 9 | GPT-5 ProOpenAI | 89 |
| 10 | Gemini 3 Flash PreviewGoogle | 88 |
| 11 | GPT-5.1-Codex-MaxOpenAI | 88 |
| 12 | GPT-5 CodexOpenAI | 88 |
| 13 | GPT-5OpenAI | 88 |
| 14 | GPT-5.1OpenAI | 87 |
| 15 | GPT-5.1-CodexOpenAI | 87 |
| 16 | GPT-5.1-Codex-MiniOpenAI | 87 |
| 17 | o3 Deep ResearchOpenAI | 87 |
| 18 | o3 ProOpenAI | 87 |
| 19 | o3OpenAI | 87 |
| 20 | Grok 4.20xAI | 89 |
| 21 | Claude Sonnet 4.6Anthropic | 85 |
| 22 | Claude Opus 4.5Anthropic | 85 |
| 23 | Grok 4xAI | 88 |
| 24 | Gemini 2.5 ProGoogle | 84 |
| 25 | Gemini 2.5 Pro Preview 06-05Google | 84 |
| 26 | Gemini 2.5 Pro Preview 05-06Google | 84 |
| 27 | Claude Sonnet 4.5Anthropic | 82 |
| 28 | Grok 4.20 Multi-AgentxAI | 88 |
| 29 | o4 Mini Deep ResearchOpenAI | 81 |
| 30 | o4 MiniOpenAI | 81 |
Reasoning models identify OWASP Top 10 vulnerabilities including injection, XSS, CSRF, and broken access control with detailed chain-of-thought explanations.
Large context models analyze entire codebases for security issues. JSON mode produces structured SARIF-format reports compatible with CI/CD pipeline integration.
Audit code against SOC 2, GDPR, HIPAA, and PCI-DSS requirements. Models identify data handling violations and suggest compliant implementations.
Analyze security logs, trace attack vectors, and generate incident reports. Function calling integrates with SIEM tools and threat intelligence APIs.
AI models accelerate security assessments by analyzing code for known vulnerability patterns, reviewing configurations, and generating test cases. They complement human pentesters by handling the systematic review work, freeing experts for creative attack research and business logic testing.
Reasoning is paramount for understanding complex attack chains and business logic vulnerabilities. Large context (128K+) processes entire codebases and configuration sets. Function calling integrates with security scanners and vulnerability databases. Web search accesses current CVE information.
Models draft SOC 2, ISO 27001, PCI DSS, and HIPAA audit reports from assessment data. Reasoning maps controls to compliance requirements. JSON mode outputs structured finding lists. Large output generates comprehensive reports without truncation.
Treat AI findings as preliminary assessments requiring human validation. False positives are common. Implement a triage process where security engineers verify, prioritize, and contextualize AI-identified issues before creating remediation tickets.