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Static application security testing · November 2026 Edition

Semgrep AppSec Platform vs SonarQube

Nine of fourteen models named Semgrep AppSec Platform first on the direct prompt; two named SonarQube. Both were named by all fourteen models and Semgrep AppSec Platform carries 69 labels and SonarQube 67, so the shares are not directly comparable.

Named in one category this edition.

SonarQube

accepted challenger

Named in three categories this edition.

First-choice share71%11%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate1%16%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#2A position in a field of 11; printed, not drawn.
Labels6967A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Semgrep AppSec Platform reading right to left. Rank and label count are printed, not drawn.Snyk Code was named alongside these two in ten of the fourteen direct answers. Semgrep AppSec Platform vs Aikido Security · Semgrep AppSec Platform vs Snyk Code · Semgrep AppSec Platform vs GitHub Advanced Security

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.
Semgrep AppSec PlatformFirst choices, of fourteen modelsSonarQube
Direct921 against SonarQube
Paraphrase931 against SonarQube
Comparative322 against SonarQube
Budget-constrained140
Scale-constrained001 against SonarQube
Negative501 against Semgrep AppSec Platform · 6 against SonarQube
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 November 2026 Edition, Semgrep AppSec Platform and SonarQube were named in the same answer 178 times, of the 199 answers naming Semgrep AppSec Platform and the 219 naming SonarQube. In those answers SonarQube took the first choice fifteen times and Semgrep AppSec Platform eighty-nine.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Semgrep AppSec Platform and SonarQube stood in it.
ModelDirectSASOParaphraseSASOComparativeSASOBudget-constrainedSASOScale-constrainedSASONegativeSASO
Claude Haiku 4.5SASOSASOSOSASOSO
GPT-5.4 miniSASASOSASO
Gemini 3.5 FlashSASOSASOSASOSASOSASO
Perplexity SonarSASOSASOSASOSASO
Grok 4.20SASOSASOSASOSASOSASO
Mistral SmallSASOSASOSASOSASO
DeepSeek V4 FlashSASOSASOSASOSASOSOSASO
Llama 4 MaverickSASOSASOSA
Qwen 3.7 FlashSASOSASOSASOSASOSASO
Kimi K2SASOSASOSASOSASOSASO
GLM 4.7 FlashXSASOSASOSASOSASO
MiniMax M2.5SASOSASOSASOSASO
GPT-6 LunaSASASOSASOSASOSASO
Muse Glimmer 30BSASOSASOSASOSASO
SA Semgrep AppSec PlatformSO SonarQubeSA first choiceSA named as an alternativeSA argued againstblank: not namedEach cell is one answer, Semgrep AppSec Platform on the left and SonarQube on the right.

The direct prompt

The plain question, one answer per model, grouped by where Semgrep AppSec Platform and SonarQube stood in it.

Semgrep AppSec Platform first, SonarQube an alternative

9 of 14 modelsSonarQube was named in the answer but not as the choice, or not at all.
Perplexity SonarSemgrep AppSec Platform alternatives: CodeQL, Snyk Code, SonarQube
Grok 4.20Semgrep AppSec Platform alternatives: Aikido Security, CodeAnt AI, GitLab SAST, Snyk Code
Mistral SmallAikido Security, Semgrep AppSec Platform alternatives: SonarQube
DeepSeek V4 FlashSemgrep AppSec Platform alternatives: Snyk Code, SonarQube
Llama 4 MaverickSemgrep AppSec Platform alternatives: Aikido Security, Snyk Code, SonarQube, ZeroPath
Qwen 3.7 FlashSemgrep AppSec Platform alternatives: GitHub Advanced Security, GitLab SAST, Mend SAST, SonarQube
Kimi K2Semgrep AppSec Platform alternatives: Aikido Security, Snyk Code, SonarQube
MiniMax M2.5Semgrep AppSec Platform alternatives: Snyk Code, SonarQube
GPT-6 LunaSemgrep AppSec Platform alternatives: GitHub Code Security, Snyk Code

SonarQube first, Semgrep AppSec Platform an alternative

2 of 14 modelsSemgrep AppSec Platform was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Snyk, SonarQube alternatives: Mend SAST, Semgrep AppSec Platform
GLM 4.7 FlashXSnyk Code, SonarQube alternatives: Checkmarx One, GitLab SAST, Semgrep AppSec Platform

Neither was the first choice, one was named

2 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashSnyk Code alternatives: GitHub Advanced Security, Semgrep AppSec Platform, SonarQube
Muse Glimmer 30BAikido Security alternatives: Semgrep AppSec Platform, Snyk Code, SonarQube

Neither was named

1 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniGitHub Advanced Security alternatives: Checkmarx One

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
Semgrep AppSec Platform leads by sixty-seven points.
Semgrep AppSec Platform82%#1 of 14
SonarQube14%#2 of 14
The full small business standing →
Mid-marketThe figures above
Semgrep AppSec Platform leads by sixty points.
Semgrep AppSec Platform71%#1 of 11
SonarQube11%#2 of 11
The full mid-market standing →
Enterprise
The order flips: SonarQube leads at enterprise.
SonarQube12%#3 of 10
Semgrep AppSec Platform8%#4 of 10
The full enterprise standing →

What the models said about Semgrep AppSec Platform

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.

“Semgrep Community Edition as your only deep-analysis scanner: ... its single-function analysis and community-rule coverage may miss issues” GPT-6 Luna · negative prompt · soft negative
“Semgrep (with its free Community Edition) is widely regarded as one of the best SAST tools for companies operating on a limited budget.” Grok 4.20 · budget prompt · first choice
“For most mid-market B2B companies, Semgrep offers the best balance of detection quality, developer experience, transparency, and cost” DeepSeek V4 Flash · direct prompt · first choice
“Semgrep Community Edition is the best overall SAST tool due to its flexibility, broad language support, and strong community backing.” Mistral Small · budget prompt · first choice

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.

“Not a true SAST tool... Inadequate for compliance (PCI-DSS, SOC 2)” Kimi K2 · negative prompt · hard negative
“SonarQube is primarily a code quality platform, not a security-first SAST tool... "should not be used as a sole SAST tool in security-sensitive environments."” DeepSeek V4 Flash · negative prompt · soft negative
“On a typical Java or TypeScript codebase, 40-60% of initial findings require developer review to determine whether they represent actual risk” Claude Haiku 4.5 · negative prompt · soft negative
“The most widely used, adopted by 59% of developers. It's known for its ease of use, integration with CI/CD pipelines, and broad language support.” Mistral Small · comparative prompt · first choice
“I'd recommend starting with SonarQube or Snyk Code due to their balance of features, pricing, and ease of use” GLM 4.7 FlashX · direct prompt · first choice
“I would recommend SonarQube (commercial or self‑hosted) as your primary static code security scanner” GLM 4.7 FlashX · paraphrase prompt · first choice
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.