{"slug":"codeql","name":"CodeQL","domain":"github.com","verdict":"As of 2026-07-19, ChatGPT, Claude, Gemini, Grok collectively rank CodeQL #2 of 5 for sast tool for ci pipelines (one of 2 leaderboards it appears on). Source: https://modelsagree.com/product/codeql (modelsagree.com, CC BY 4.0).","best_rank":2,"categories":2,"brief":{"category":"best-sast-tool-for-ci-pipelines","title":"Best SAST tool for CI pipelines","rank":2,"of":5,"top":"Semgrep","day":"2026-07-19","why":[{"t":"Deep data-flow and semantic analysis","m":["ChatGPT","Claude","Grok","Gemini"],"q":"Deep interprocedural data-flow analysis"},{"t":"First-class GitHub integration","m":["ChatGPT","Claude","Grok","Gemini"],"q":"first-class GitHub integration (code scanning, PR annotations, default setup)"},{"t":"Strong complex vulnerability detection","m":["Claude","Grok","Gemini"],"q":"strong on complex vulnerabilities and reachability"},{"t":"Extensible custom query packs","m":["ChatGPT","Claude"],"q":"custom query packs"}],"gap":[{"t":"Fast PR-time CI scans","m":["ChatGPT","Claude","Gemini","Grok"],"q":"Fast, dependency-free scans (minutes, often seconds) that fit PR-time CI without babysitting"},{"t":"Broad language support","m":["ChatGPT","Grok"],"q":"35+ languages"},{"t":"Minimal CI overhead","m":["Grok"],"q":"excellent CI/CD integration (GitHub Actions, GitLab, Jenkins, etc.) with minimal overhead"}],"fix":[{"t":"Slow, compute-heavy scans","m":["Claude","Gemini","Grok"],"q":"High compute resource requirements and long scan times"},{"t":"Expensive for private repos","m":["ChatGPT","Claude"],"q":"expensive for private repos via Advanced Security"},{"t":"Awkward outside GitHub","m":["ChatGPT","Claude","Grok"],"q":"awkward outside GitHub"}]},"entries":[{"slug":"best-sast-tool-for-ci-pipelines","title":"Best SAST tool for CI pipelines","rank":2,"of":5,"score":14,"appearances":4,"modelRanks":{"ChatGPT":2,"Claude":2,"Gemini":4,"Grok":2},"reason":"Deep interprocedural data-flow analysis, high-quality security queries, custom query packs, and nearly effortless GitHub code-scanning integration make it especially strong for GitHub-centric teams","reasons":[{"model":"ChatGPT","reason":"Deep interprocedural data-flow analysis, high-quality security queries, custom query packs, and nearly effortless GitHub code-scanning integration make it especially strong for GitHub-centric teams"},{"model":"Claude","reason":"Deepest widely-available dataflow analysis, first-class GitHub integration (code scanning, PR annotations, default setup), and free for public repos; query packs are extensible and the finding quality on injection/taint classes is best-in-class. Ranked second only because of speed and pricing friction, not analysis quality — near-tie with Semgrep for GitHub-centric orgs."},{"model":"Grok","reason":"Deep semantic analysis and excellent detection for GitHub-native teams, seamless GitHub Actions CI integration, free for public repos/open-source, strong on complex vulnerabilities and reachability, scales with GitHub ecosystem, high real-world adoption for quality gates"},{"model":"Gemini","reason":"Industry-leading depth in semantic querying and cross-procedural dataflow tracing, native to GitHub Actions and unmatched for variant analysis."}],"fixes":[{"model":"ChatGPT","fix":"Limited language coverage and commercial restrictions for private code make it a poor fit for unsupported stacks or teams outside GitHub"},{"model":"Claude","fix":"Slow (database build plus query run can take tens of minutes on large repos) and expensive for private repos via Advanced Security; awkward outside GitHub."},{"model":"Gemini","fix":"High compute resource requirements and long scan times make it impractical as a quick blocking gate on every pull request commit."},{"model":"Grok","fix":"Heavier scans can slow large CI runs compared to lightweight options; best within GitHub (not ideal for multi-SCM or non-GitHub heavy environments)."}],"updated":"2026-07-19","api":"https://modelsagree.com/api/v1/best/best-sast-tool-for-ci-pipelines.json"},{"slug":"best-sast-tools-for-polyglot-monorepos","title":"Best SAST tools for polyglot monorepos","rank":2,"of":7,"score":12,"appearances":3,"modelRanks":{"ChatGPT":2,"Claude":2,"Gemini":2},"reason":"Deep semantic and interprocedural analysis, excellent vulnerability research pedigree, extensible queries, and first-class GitHub code-scanning integration across major monorepo languages; a near-tie with Semgrep for GitHub-centric teams.","reasons":[{"model":"ChatGPT","reason":"Deep semantic and interprocedural analysis, excellent vulnerability research pedigree, extensible queries, and first-class GitHub code-scanning integration across major monorepo languages; a near-tie with Semgrep for GitHub-centric teams."},{"model":"Claude","reason":"The strongest deep dataflow analysis available at scale — CodeQL's semantic, query-based approach finds real taint-flow vulnerabilities other tools miss, covers the mainstream monorepo languages (Java, JS/TS, Python, Go, C/C++, C#, Ruby, Swift, Kotlin), and since the standalone GHAS Code Security SKU it's buyable without the full bundle; free for public repos. Near-tie with Semgrep — CodeQL wins on analysis depth, Semgrep on speed, language breadth, and rule authoring, and monorepo build orchestration tips it to #2."},{"model":"Gemini","reason":"The gold standard for deep semantic and data-flow analysis, allowing developers to trace complex vulnerabilities across multiple files. Integrates natively with GitHub Advanced Security. Custom queries can be written in QL to enforce complex rules."}],"fixes":[{"model":"ChatGPT","fix":"Database creation, compiled-language builds, per-language workflows, and query tuning make large heterogeneous repositories operationally demanding."},{"model":"Claude","fix":"Slow, build-dependent scans that fight large monorepos (compiled-language extraction needs a working build per language), and it's only economical if you're already on GitHub — GitLab/self-hosted shops pay a steep integration tax."},{"model":"Gemini","fix":"Extremely resource-heavy and slow scan times; for compiled languages, it requires a successful build of the project, which is difficult to orchestrate in a complex, multi-language monorepo."}],"updated":"2026-07-17","api":"https://modelsagree.com/api/v1/best/best-sast-tools-for-polyglot-monorepos.json"}],"page":"https://modelsagree.com/product/codeql","check":"https://modelsagree.com/check?q=CodeQL","updated":"2026-08-10T18:18:45.051Z","attribution":"modelsagree.com, CC BY 4.0"}