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

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

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Semgrep | 36% | #1 of 10 | 5% | 63 | 14 of 14 |
| Veracode Static Analysis | 2% | #7 of 10 | 28% | 39 | 14 of 14 |

## The direct prompt, model by model

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

## What the models said about Semgrep

- "Semgrep OSS and Bandit are fast and low false-positive for obvious patterns, but miss vulnerabilities that span multiple functions... insufficient as sole nightly security scanners" (Muse Glimmer 30B, negative prompt, soft negative)
- "Semgrep Community Edition as your only deep security scanner: It can be useful for fast checks and custom rules, but its analysis is limited to a file/function context" (GPT-6 Luna, negative prompt, soft negative)
- "Checkmarx, Veracode, and Semgrep have all struggled with this because their rule-based engines flag anything that could be a vulnerability" (Claude Haiku 4.5, negative prompt, soft negative)
- "Semgrep as the primary scanner across all languages... For most budget-constrained companies, Semgrep OSS + SonarQube Community Edition... is the most commonly recommended starting point" (Muse Glimmer 30B, budget prompt, first choice)
- "Tools like Semgrep are generally preferred for modern CI/CD because they are lightweight, customizable, and run significantly faster." (GLM 4.7 FlashX, negative prompt, first choice)
- "look for developer-friendly alternatives like Semgrep, where rules are written in YAML and read like standard code" (Gemini 3.5 Flash, negative 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.