Three of fourteen models named SonarQube first on the direct prompt; zero named Checkmarx One. Both were named by all fourteen models and SonarQube carries 62 labels and Checkmarx One 44, so the shares are not directly comparable.
Named in four categories this edition.
Named in four categories this edition.
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; every quote names the model and the prompt it came from. Both figures come from the static application security testing page.
Across every category in the October 2026 Edition, SonarQube and Checkmarx One were named in the same answer 118 times, of the 189 answers naming SonarQube and the 270 naming Checkmarx One. In those answers Checkmarx One took the first choice twenty-five times and SonarQube fourteen.
| Model | DirectSO | ParaphraseSO | ComparativeSO | Budget-constrainedSO | Scale-constrainedSO | NegativeSO |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | SO | SO | SO | |||
| GPT-5.4 mini | SO | SO | SO | |||
| Gemini 3.5 Flash | SO | SO | SO | |||
| Perplexity Sonar | SO | SO | ||||
| Grok 4.1 Fast | SO | SO | SO | SO | SO | SO |
| Mistral Small | SO | SO | SO | |||
| DeepSeek V4 Flash | SO | SO | SO | SO | SO | |
| Llama 4 Maverick | SO | |||||
| Qwen 3.7 Flash | SO | SO | SO | SO | SO | |
| Kimi K2 | SO | SO | SO | SO | SO | |
| GLM 4.7 FlashX | SO | SO | SO | |||
| MiniMax M2.5 | SO | SO | SO | SO | ||
| GPT-6 Luna | SO | SO | SO | |||
| Muse Glimmer 30B | SO | SO | SO | SO | SO |
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“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
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of six in this category shown.
“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
“be especially cautious with legacy configurations of Checkmarx, Fortify/OpenText, and SonarQube for security use cases unless they are heavily tuned” Muse Glimmer 30B · negative prompt · soft negative
“Legacy enterprise | Checkmarx, Veracode, Fortify | Deep compliance... unless you have specific compliance requirements that mandate legacy tools” Kimi K2 · scale prompt · soft negative
“Checkmarx One (Gartner/Forrester Leader): Enterprise-grade with deep dataflow/taint analysis... Checkmarx for banks” Grok 4.1 Fast · comparative prompt · first choice
“an enterprise-grade scanner (like Checkmarx or Fortify) for nightly full-scan reports and compliance auditing.” Qwen 3.7 Flash · comparative prompt · first choice
“Gartner Magic Quadrant Leader for 7 consecutive years... Best For: Large enterprises, portfolio-level governance” Kimi K2 · comparative prompt · first choice
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.