Static application security testing · September 2026 Edition
SonarQube vs Snyk Code
Two of twelve models named SonarQube first on the direct prompt; five named Snyk Code. Both were named by all twelve models and SonarQube carries 48 labels and Snyk Code 36, so the shares are not directly comparable.
Named in two categories this edition.
Named in one category this edition.
First-choice share22%13%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate10%6%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#3A position in a field of 11; printed, not drawn.
Labels4836A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, SonarQube reading right to left. Rank and label count are printed, not drawn.Semgrep was named alongside these two in eight of the twelve direct answers. Semgrep vs SonarQube · Semgrep vs Snyk Code
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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.
By framing
How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
SonarQubeFirst choices, of twelve modelsSnyk Code
Direct25
Paraphrase711 against SonarQube
Comparative03
Budget-constrained101 against Snyk Code
Scale-constrained00
Negative004 against SonarQube · 1 against Snyk Code
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.
The direct prompt
The plain question, one answer per model, grouped by where SonarQube and Snyk Code stood in it.
Both were the first choice
1 of 12 modelsThe answer named them together, and the judge labeled each a first choice.MiniMax M2.5Snyk Code, SonarQube alternatives: Checkmarx One, Semgrep
SonarQube first, Snyk Code not the choice
1 of 12 modelsSnyk Code was named in the answer but not as the choice, or not at all.Qwen 3.7 FlashSnyk, SonarQube alternatives: GitHub Advanced Security, GitLab SAST
Snyk Code first, SonarQube an alternative
4 of 12 modelsSonarQube was named in the answer but not as the choice, or not at all.GPT-5.4 miniSnyk Code alternatives: Checkmarx One, GitHub Advanced Security / CodeQL, Veracode
Llama 4 MaverickSnyk Code alternatives: SonarQube
Kimi K2Semgrep, Snyk Code alternatives: SonarQube
GLM 4.7 FlashXSnyk Code alternatives: CodeAnt AI, Semgrep, SonarQube
Neither was the first choice, one was named
3 of 12 modelsThe answer put something else first and named one of the two as an alternative.Grok 4.1 FastSemgrep alternatives: Snyk Code, SonarQube
Mistral SmallSemgrep alternatives: CodeAnt AI, SonarQube
DeepSeek V4 FlashSemgrep alternatives: Checkmarx One, GitHub Advanced Security, Snyk Code, SonarQube, Veracode
Neither was named
3 of 12 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5no first choice
Gemini 3.5 FlashAikido Security alternatives: GitHub Advanced Security, GitLab SAST, Semgrep, Snyk
Perplexity SonarCodeAnt AI alternatives: Aikido Security, Semgrep
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.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Snyk Code leads by six points.
Snyk Code9%#2 of 12SonarQube2%#5 of 12Mid-marketThe figures above
The order flips: SonarQube leads at mid-market.
SonarQube22%#2 of 11Snyk Code13%#3 of 11Enterprise
What the models said about SonarQube
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“SonarQube: High false positive rates out-of-the-box (40-82% ...) ... Tune heavily or pair with security-specific tools.” Grok 4.1 Fast · negative prompt · soft negative
“SonarQube on default settings flags 40‑60 % of findings as non‑issues on typical Java or TypeScript codebases” GLM 4.7 FlashX · negative prompt · soft negative
“Mature platform, 40+ languages, strong for governance — but noisier out of the box and requires tuning.” DeepSeek V4 Flash · paraphrase prompt · soft negative
“Choose SonarQube if you treat security as a subset of quality, need to reduce technical debt, and want better control over costs at scale.” Qwen 3.7 Flash · direct prompt · first choice
“Widely used, supports multiple languages, integrates well with CI/CD... making it a solid choice for mid-sized teams” Mistral Small · paraphrase prompt · first choice
“SonarQube or Snyk Code would be the best starting points. SonarQube offers the best overall value” MiniMax M2.5 · direct prompt · first choice
What the models said about Snyk Code
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Modern, developer-friendly platforms (such as Snyk Code)... keep their rule engine highly proprietary... they can restrict highly advanced security teams.” Gemini 3.5 Flash · negative prompt · soft negative
“While popular, pricing starts at ~$25/developer/month, which can add up quickly” Qwen 3.7 Flash · budget prompt · soft negative
“Snyk Code - A developer-first SAST tool that integrates with IDE and CI/CD pipelines, suitable for startup to mid-market teams” Llama 4 Maverick · direct prompt · first choice
“I'd usually start with Snyk Code for teams that want a developer-friendly experience and faster adoption” GPT-5.4 mini · direct prompt · first choice
“For most mid-market B2B companies, SonarQube or Snyk Code would be the best starting points.” MiniMax M2.5 · direct prompt · first choice
Comparisons are drawn for the top three products in each category. The output is the models' output; nothing here is a recommendation by the index.