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

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

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Snyk | 8% | #4 of 10 | 9% | 11 | 7 of 14 |
| Veracode Static Analysis | 2% | #7 of 10 | 28% | 39 | 14 of 14 |

## The direct prompt, model by model

- Mistral Small: snyk first (first choices: Snyk) (alternatives: Aikido Security, Semgrep)
- MiniMax M2.5: snyk first (first choices: Snyk) (alternatives: Semgrep, Veracode Static Analysis)
- GPT-5.4 mini: neither first, one named (first choices: Semgrep) (alternatives: Checkmarx One, Snyk Code, Veracode Static Analysis)
- 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)
- GPT-6 Luna: neither first, one named (first choices: Semgrep) (alternatives: GitHub Advanced Security, Snyk)
- 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)
- Grok 4.1 Fast: neither named (first choices: Snyk Code) (alternatives: Semgrep, SonarQube)
- DeepSeek V4 Flash: neither named (first choices: Snyk Code) (alternatives: CodeAnt.ai, Semgrep, SonarQube)
- Llama 4 Maverick: neither named (first choices: Snyk Code)
- Qwen 3.7 Flash: neither named (first choices: SonarQube) (alternatives: Semgrep, Snyk Code)
- Kimi K2: neither named (first choices: Semgrep, Snyk Code) (alternatives: SonarQube)
- Muse Glimmer 30B: neither named (first choices: SonarQube) (alternatives: Semgrep)

## What the models said about Snyk

- ""We are forced to use Snyk–it's basically infuriating support and false positives... it's also insanely expensive"" (Claude Haiku 4.5, negative prompt, soft negative)
- "Snyk appears to be the most frequently recommended option for mid-market B2B companies running modern stacks" (MiniMax M2.5, direct 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.
