Zero of fourteen models named OWASP Dependency-Check first on the direct prompt; zero named GitHub Dependabot. OWASP Dependency-Check was named by fourteen of the fourteen models and GitHub Dependabot by nine and OWASP Dependency-Check carries 35 labels and GitHub Dependabot 17, so the shares are not directly comparable.
Named in three categories this edition.
Named in one category this edition.
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 software composition analysis page.
Across every category in the October 2026 Edition, OWASP Dependency-Check and GitHub Dependabot were named in the same answer thirty-three times, of the 99 answers naming OWASP Dependency-Check and the 53 naming GitHub Dependabot. In those answers GitHub Dependabot took the first choice four times and OWASP Dependency-Check three.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.1 Fast | ||||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | ||||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“useful as a free scanner, but I'd avoid treating its results as definitive ... can produce both false positives and false negatives” GPT-6 Luna · negative prompt · soft negative
“It has a higher false-positive rate than Trivy or Grype (due to CPE-based matching), so it requires more triage time.” Kimi K2 · budget prompt · soft negative
“Basic scanning, can be noisy, and is often cited as lacking the depth and automation of commercial tools.” Perplexity Sonar · negative prompt · soft negative
“OWASP Dependency-Check is a free, open-source SCA tool that provides basic CVE scanning for teams with limited budgets.” Claude Haiku 4.5 · budget prompt · first choice
“the best starting point is usually OWASP Dependency-Check because it is free and open source” Perplexity Sonar · budget prompt · first choice
“the best default choice is usually OWASP Dependency-Check. It's free, open source” GPT-5.4 mini · budget prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“Useful for alerts, but sources warn about false positives, limited transitive analysis, and limited remediation automation in this basic form.” Perplexity Sonar · negative prompt · soft negative
“a reasonable choice for GitHub-based dependency alerts and updates, but don't assume it gives complete coverage of your software supply chain” GPT-6 Luna · negative prompt · soft negative
“Free/native, but basic (no deep reachability/licenses), prone to stale alerts” Grok 4.1 Fast · negative prompt · soft negative
“GitHub Dependabot is the zero-excuse baseline: dependency alerts and automated update PRs free on every repo” Muse Glimmer 30B · budget prompt · first choice
“Best low-budget starting point: GitHub Dependabot if your code is already on GitHub.” GPT-6 Luna · budget prompt · first choice
“the best place to start is GitHub Dependabot (if you're on GitHub) or Trivy” GLM 4.7 FlashX · budget prompt · first choice
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.