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Static application security testing · October 2026 Edition

SonarQube vs Veracode Static Analysis

Three of fourteen models named SonarQube first on the direct prompt; zero named Veracode Static Analysis. Both were named by all fourteen models and SonarQube carries 62 labels and Veracode Static Analysis 39, so the shares are not directly comparable.

SonarQube

accepted challenger

Named in four categories this edition.

Veracode Static Analysis

criticized challenger

Named in one category this edition.

First-choice share22%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate18%28%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#7A position in a field of 10; printed, not drawn.
Labels6239A 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 twelve of the fourteen direct answers. Semgrep vs SonarQube · Semgrep vs Veracode Static Analysis · SonarQube vs Snyk Code

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.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
SonarQubeFirst choices, of fourteen modelsVeracode Static Analysis
Direct302 against Veracode Static Analysis
Paraphrase513 against Veracode Static Analysis
Comparative003 against SonarQube
Budget-constrained30
Scale-constrained001 against Veracode Static Analysis
Negative008 against SonarQube · 5 against Veracode Static Analysis
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the October 2026 Edition, SonarQube and Veracode Static Analysis were named in the same answer 100 times, of the 189 answers naming SonarQube and the 138 naming Veracode Static Analysis. In those answers Veracode Static Analysis took the first choice three times and SonarQube twelve.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where SonarQube and Veracode Static Analysis stood in it.
ModelDirectSOParaphraseSOComparativeSOBudget-constrainedSOScale-constrainedSONegativeSO
Claude Haiku 4.5SOSOSO
GPT-5.4 miniSOSOSO
Gemini 3.5 FlashSOSOSO
Perplexity SonarSOSO
Grok 4.1 FastSOSOSOSOSOSO
Mistral SmallSOSOSO
DeepSeek V4 FlashSOSOSOSOSO
Llama 4 MaverickSO
Qwen 3.7 FlashSOSOSOSOSO
Kimi K2SOSOSOSOSO
GLM 4.7 FlashXSOSOSO
MiniMax M2.5SOSOSOSO
GPT-6 LunaSOSOSO
Muse Glimmer 30BSOSOSOSOSO
SO SonarQube Veracode Static AnalysisSO first choiceSO named as an alternativeSO argued againstblank: not namedEach cell is one answer, SonarQube on the left and Veracode Static Analysis on the right.

The direct prompt

The plain question, one answer per model, grouped by where SonarQube and Veracode Static Analysis stood in it.

SonarQube first, Veracode Static Analysis an alternative

3 of 14 modelsVeracode Static Analysis was named in the answer but not as the choice, or not at all.
Qwen 3.7 FlashSonarQube alternatives: Semgrep, Snyk Code
GLM 4.7 FlashXSonarQube alternatives: Checkmarx One, Codacy, DeepSource, GitHub Advanced Security, OpenText Fortify, Semgrep, Snyk Code, Veracode Static Analysis
Muse Glimmer 30BSonarQube alternatives: Semgrep

Neither was the first choice, one was named

5 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniSemgrep alternatives: Checkmarx One, Snyk Code, Veracode Static Analysis
Grok 4.1 FastSnyk Code alternatives: Semgrep, SonarQube
DeepSeek V4 FlashSnyk Code alternatives: CodeAnt.ai, Semgrep, SonarQube
Kimi K2Semgrep, Snyk Code alternatives: SonarQube
MiniMax M2.5Snyk alternatives: Semgrep, Veracode Static Analysis

Neither was named

6 of 14 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 Code
Perplexity SonarSemgrep alternatives: Checkmarx One, Snyk Code
Mistral SmallSnyk alternatives: Aikido Security, Semgrep
Llama 4 MaverickSnyk Code
GPT-6 LunaSemgrep alternatives: GitHub Advanced Security, Snyk

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
SonarQube leads by fourteen points.
SonarQube14%#2 of 13
Veracode Static Analysis0%#12 of 13
The full small business standing →
Mid-marketThe figures above
SonarQube leads by twenty points.
SonarQube22%#2 of 10
Veracode Static Analysis2%#7 of 10
The full mid-market standing →
Enterprise
The order flips: Veracode Static Analysis leads at enterprise.
Veracode Static Analysis13%#2 of 10
SonarQube9%#3 of 10
The full enterprise standing →

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 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

What the models said about Veracode Static Analysis

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight 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
“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
Also compared

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.