Index › IT › Products › CodeQL · November 2026 Edition
Static application security testing · Ranked

CodeQL

#7Best rank (mid-market)
14/14Models named it
0First choices
9Warnings
November 2026 Edition · all company sizes counted.
Ranked inStatic application security testing #7 mid-market

Why models recommend it

“CodeQL consistently produces the lowest false positive rate because its full semantic data-flow analysis means it only flags issues where it can trace an actual vulnerable path”Claude Haiku 4.5 · Negative question · first choice
“SonarQube and CodeQL are the most widely adopted today, especially for web/backend teams.”GLM 4.7 FlashX · Comparative question · first choice
“CodeQL treats code as queryable data... It's free for open-source projects and integrates natively with GitHub.”MiniMax M2.5 · Comparative question · alternative
“Best if your code is on public GitHub repos; requires GitHub Advanced Security license for private repos”DeepSeek V4 Flash · Budget-constrained question · alternative

What gives them pause

“CodeQL CLI, often listed as free, may not be run on private code without a paid GitHub licence”Muse Glimmer 30B · Budget-constrained question · warning
“For private repos, GitHub says you need Code Security, so check that cost before choosing it.”GPT-6 Luna · Budget-constrained question · warning
“CodeQL doesn't support every language—for example, its documented list excludes PHP”GPT-6 Luna · Negative question · warning

Also on the shortlist

The products named in the same answers as CodeQL, over the 64 answers that named it, and how often each was the first choice instead.

What the models named instead of CodeQL →

A side-by-side page exists where both products are among a category's top eight.

How this is measured

Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.

Gane sells AI visibility software. No company can pay to change a result.

Read the method →

Sources returned with these answers

The sites and pages the answers that named CodeQL came back with. A fact about retrieval, not a cause of the answer.

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 60 of the 64 answers that named CodeQL and are not a share of its labels.

Domains cited

safeguard.sh32
checkmarx.com28
appsecsanta.com26
dev.to18
semgrep.dev15
community.owasp.org14
corgea.com12
upwind.io12
deepsource.com10
github.com10

No domain is on file for CodeQL, so its own site is not marked.

Pages cited

Pages are listed as the models cited them.

By model

How each model answered on CodeQL across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ModelFirst choiceAlternativeMentionWarningLabels
Claude Haiku 4.511002
GPT-5.4 mini01001
Gemini 3.5 Flash02002
Perplexity Sonar03003
Grok 4.2001001
Mistral Small01001
DeepSeek V4 Flash03003
Llama 4 Maverick00000
Qwen 3.7 Flash01102
Kimi K203003
GLM 4.7 FlashX10001
MiniMax M2.502002
GPT-6 Luna01023
Muse Glimmer 30B00011