Two of fourteen models named JFrog Artifactory first on the direct prompt; one named GitHub Packages. JFrog Artifactory was named by fourteen of the fourteen models and GitHub Packages by twelve and JFrog Artifactory carries 48 labels and GitHub Packages 42, 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 artifact and container registries page.
Across every category in the October 2026 Edition, JFrog Artifactory and GitHub Packages were named in the same answer eighty times, of the 154 answers naming JFrog Artifactory and the 120 naming GitHub Packages. In those answers GitHub Packages took the first choice twenty-two times and JFrog Artifactory twenty-three.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | GP | |||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | GP | |||||
| Perplexity Sonar | ||||||
| Grok 4.1 Fast | ||||||
| Mistral Small | GP | |||||
| DeepSeek V4 Flash | GP | |||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | GP | |||||
| Kimi K2 | GP | |||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | GP | GP | ||||
| 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.
“Note: Avoid JFrog Artifactory if you have a tight budget.” Gemini 3.5 Flash · budget prompt · hard negative
“generally not recommended for mid-market B2B companies” Gemini 3.5 Flash · direct prompt · hard negative
“Avoid for limited budgets - costs escalate quickly” Kimi K2 · budget prompt · hard negative
“JFrog Artifactory is positioned as a universal repository manager that supports a wide range of artifact types... Both are viable for a 500-person company.” Muse Glimmer 30B · scale prompt · first choice
“Artifact registries like JFrog Artifactory and Google Artifact Registry are more comprehensive, supporting a broader range of package formats” Mistral Small · comparative prompt · first choice
“JFrog is widely considered the top choice for mid-market companies today... It is the safest bet for a growing mid-market engineering team.” Qwen 3.7 Flash · direct 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.
“avoid direct, unrestricted use of public community images from Docker Hub, GitHub Container Registry, npm/PyPI, Artifact Hub” Muse Glimmer 30B · negative prompt · hard negative
“GitHub Packages does not natively support PyPI (Python). If your team writes a significant amount of Python, GitHub Packages will not be a complete solution.” Gemini 3.5 Flash · direct prompt · soft negative
“Cons: Often less mature in terms of advanced proxying, virtual repositories, and advanced binary management compared to dedicated tools.” Gemini 3.5 Flash · scale prompt · soft negative
“For most small to medium companies, GitHub Packages is often the best choice if you're already using GitHub” Claude Haiku 4.5 · budget prompt · first choice
“The Best "All-in-One" Option: GitHub Packages / GitLab Package Registry” Gemini 3.5 Flash · budget prompt · first choice
“Top Recommendation: GitHub Packages” Kimi K2 · direct 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.