# SonarQube vs Veracode Static Analysis: which do AI models recommend for SAST, October 2026

IT AI Recommendation Index, October 2026 Edition, Static application security testing. Three of fourteen models named SonarQube first on the direct prompt; zero named Veracode Static Analysis. Page: https://it-ai-index.com/developer/static-application-security-testing/sonarqube-vs-veracode-static-analysis/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| SonarQube | 22% | #2 of 10 | 18% | 62 | 14 of 14 |
| Veracode Static Analysis | 2% | #7 of 10 | 28% | 39 | 14 of 14 |

## The direct prompt, model by model

- Qwen 3.7 Flash: sonarqube first (first choices: SonarQube) (alternatives: Semgrep, Snyk Code)
- GLM 4.7 FlashX: sonarqube first (first choices: SonarQube) (alternatives: Checkmarx One, Codacy, DeepSource, GitHub Advanced Security, OpenText Fortify, Semgrep, Snyk Code, Veracode Static Analysis)
- Muse Glimmer 30B: sonarqube first (first choices: SonarQube) (alternatives: Semgrep)
- GPT-5.4 mini: neither first, one named (first choices: Semgrep) (alternatives: Checkmarx One, Snyk Code, Veracode Static Analysis)
- Grok 4.1 Fast: neither first, one named (first choices: Snyk Code) (alternatives: Semgrep, SonarQube)
- DeepSeek V4 Flash: neither first, one named (first choices: Snyk Code) (alternatives: CodeAnt.ai, Semgrep, SonarQube)
- Kimi K2: neither first, one named (first choices: Semgrep, Snyk Code) (alternatives: SonarQube)
- MiniMax M2.5: neither first, one named (first choices: Snyk) (alternatives: Semgrep, Veracode Static Analysis)
- Claude Haiku 4.5: neither named
- Gemini 3.5 Flash: neither named (first choices: Aikido Security) (alternatives: GitHub Advanced Security, GitLab SAST, Semgrep, Snyk Code)
- Perplexity Sonar: neither named (first choices: Semgrep) (alternatives: Checkmarx One, Snyk Code)
- Mistral Small: neither named (first choices: Snyk) (alternatives: Aikido Security, Semgrep)
- Llama 4 Maverick: neither named (first choices: Snyk Code)
- GPT-6 Luna: neither named (first choices: Semgrep) (alternatives: GitHub Advanced Security, Snyk)

## What the models said about SonarQube

- "Noisiest out-of-box (40-60%+ FPs on Java/TS; OWASP F1-score ~27% in some evals)... avoid for security-only if you can't invest in config" (Grok 4.1 Fast, negative prompt, hard negative)
- "Tools originally designed for *general code quality* (like SpotBugs, SonarQube's default rules) are often very weak at security-specific detection" (DeepSeek V4 Flash, negative prompt, soft negative)
- "A code-quality scanner treated as comprehensive security coverage... verify the actual security rules for your languages, frameworks, and edition." (GPT-6 Luna, negative prompt, soft negative)
- "The best SAST tool for a company with a limited budget is Semgrep's free tier, SonarQube Community, Snyk Code's Team plan, or DeepSource." (Llama 4 Maverick, budget prompt, first choice)
- "The Best All-Around Choice: SonarQube (by SonarSource) This is the most balanced recommendation for most mid-sized companies." (Qwen 3.7 Flash, paraphrase prompt, first choice)
- "For many mid-sized B2B companies, SonarQube or Snyk offer good balance between cost, ease of use, and effectiveness." (Claude Haiku 4.5, paraphrase prompt, first choice)

## What the models said about Veracode Static Analysis

- "What I'd Avoid for Mid-Market: Checkmarx and Veracode are powerful but typically start at $60K–$100K+/year" (Kimi K2, paraphrase prompt, hard negative)
- "Full scans can delay fast-moving dev cycles, there's no on-premise option with code upload raising security concerns, and pricing can be steep" (Claude Haiku 4.5, negative prompt, soft negative)
- "not necessarily the one with the most heavy-duty enterprise compliance rules (like legacy tools Veracode or Fortify)" (Gemini 3.5 Flash, direct prompt, soft negative)
- "the recommended static code security scanner for a mid-sized B2B company could be either Checkmarx or Veracode" (Llama 4 Maverick, paraphrase prompt, first choice)
- "Excels in broad language/framework support (including legacy/binary), whole-app analysis, and enterprise integrations" (Grok 4.1 Fast, comparative prompt, alternative)
- "Highly regulated environments, on-premises requirements, or teams needing very deep taint analysis." (GLM 4.7 FlashX, direct prompt, alternative)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.