Seven 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 nine and Snyk Open Source carries 55 labels and GitHub Dependabot 17, 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 October 2026 Edition, Snyk Open Source and GitHub Dependabot were named in the same answer forty-one times, of the 177 answers naming Snyk Open Source and the 53 naming GitHub Dependabot. In those answers GitHub Dependabot took the first choice nine times and Snyk Open Source sixteen.
| 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.
“enterprise buyers often cite "unpredictable ballooning costs"... some procurement models recommend avoiding it if strict cost-prediction budgets are required” Qwen 3.7 Flash · negative prompt · soft negative
“Snyk is proprietary software. A mid-sized B2B company might prefer Trivy or Dependency-Check to avoid vendor lock-in and licensing costs” GLM 4.7 FlashX · paraphrase prompt · soft negative
“limited policy flexibility, poor data quality for complex remediations, high false positives in transitives, and costs spike” Grok 4.1 Fast · negative prompt · soft negative
“Choose Snyk if you want a seamless developer experience with early vulnerability detection and integrated security scanning.” GLM 4.7 FlashX · comparative prompt · first choice
“Choose Snyk if you have a budget and want the best developer-first integration and workflow tools.” Gemini 3.5 Flash · comparative prompt · first choice
“Start with Snyk for most mid-market B2B due to its balance, high adoption, and dev-centric design” Grok 4.1 Fast · direct 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.