Three of fourteen models named SonarQube first on the direct prompt; two named Snyk. SonarQube was named by fourteen of the fourteen models and Snyk by seven and SonarQube carries 62 labels and Snyk 11, so the shares are not directly comparable.
Named in four categories this edition.
Named in eleven 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 Snyk were named in the same answer thirty-eight times, of the 189 answers naming SonarQube and the 177 naming Snyk. In those answers Snyk took the first choice six times and SonarQube five.
| 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. Two of two in this category shown.
“"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
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.