Twelve of fourteen models named Snyk Open Source first on the direct prompt; zero named GitHub Dependabot. Snyk Open Source was named by fourteen of the fourteen models and GitHub Dependabot by twelve and Snyk Open Source carries 60 labels and GitHub Dependabot 25, so the shares are not directly comparable.
Named in one category 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 November 2026 Edition, Snyk Open Source and GitHub Dependabot were named in the same answer forty-eight times, of the 176 answers naming Snyk Open Source and the 61 naming GitHub Dependabot. In those answers GitHub Dependabot took the first choice five times and Snyk Open Source eighteen.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.20 | ||||||
| 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.
“tools including Snyk, GitHub Dependabot, OWASP Dependency-Check, and npm audit all failed to detect vulnerabilities in cloned or shaded components” MiniMax M2.5 · negative prompt · soft negative
“Does not protect against unknown malware or supply chain attacks like typosquatting, and lacks vulnerability prioritization” Claude Haiku 4.5 · negative prompt · soft negative
“Credit-based pricing model; SBOM generation locked behind Enterprise tier; can be expensive at scale” Kimi K2 · negative prompt · soft negative
“Snyk is built to get security out of the hands of security teams and into the IDEs of developers. It focuses heavily on speed and automation.” GLM 4.7 FlashX · comparative prompt · first choice
“Snyk Open Source is the best overall choice due to its broad feature set, strong community support, and developer-friendly approach” Mistral Small · direct prompt · first choice
“The best software composition analysis tool for a company with a limited budget is Snyk Open Source, which offers a free plan” Llama 4 Maverick · budget prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“GitHub Dependabot as your entire SCA program: It can be useful for repositories on GitHub, but check the documented ecosystem and file-format coverage” GPT-6 Luna · negative prompt · soft negative
“May be insufficient as a standalone program for complex SBOM, license, or multi-repository governance” Perplexity Sonar · direct prompt · soft negative
“Dependabot is convenient if you're all-in on GitHub, but it's more of an updater than a deep scanner.” Grok 4.20 · paraphrase prompt · soft negative
“Using GitHub and want zero setup effort | GitHub Dependabot | Free, native, automatically creates fix PRs.” Gemini 3.5 Flash · budget prompt · first choice
“Best value for most budget-conscious companies: GitHub Dependabot—if your code is already on GitHub.” GPT-6 Luna · budget prompt · first choice
“GitHub Dependabot or Snyk Open Source are the best starting points due to their free tiers” Mistral Small · 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.