# Amazon Elastic Container Registry vs GitHub Packages: which do AI models recommend for artifact registries, October 2026

IT AI Recommendation Index, October 2026 Edition, Artifact and container registries. Zero of fourteen models named Amazon Elastic Container Registry first on the direct prompt; one named GitHub Packages. Page: https://it-ai-index.com/developer/artifact-and-container-registries/amazon-elastic-container-registry-vs-github-packages/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Amazon Elastic Container Registry | 10% | #3 of 16 | 0% | 15 | 9 of 14 |
| GitHub Packages | 5% | #7 of 16 | 24% | 42 | 12 of 14 |

## The direct prompt, model by model

- Kimi K2: github packages first (first choices: GitHub Packages) (alternatives: AWS CodeArtifact, Azure Artifacts, Sonatype Nexus Repository)
- Claude Haiku 4.5: neither named
- GPT-5.4 mini: neither named (first choices: Sonatype Nexus Repository) (alternatives: AWS CodeArtifact, JFrog Artifactory)
- Gemini 3.5 Flash: neither named (first choices: Cloudsmith) (alternatives: AWS CodeArtifact, Azure Artifacts, GitLab Package Registry, Google Artifact Registry, Sonatype Lifecycle)
- Perplexity Sonar: neither named (first choices: JFrog Artifactory) (alternatives: Cloudsmith, Sonatype Nexus Repository)
- Grok 4.1 Fast: neither named (first choices: Cloudsmith) (alternatives: AWS CodeArtifact)
- Mistral Small: neither named (first choices: Cloudsmith) (alternatives: AWS, Google Cloud, Packagecloud)
- DeepSeek V4 Flash: neither named (first choices: Sonatype Nexus Repository) (alternatives: Azure Artifacts, Cloudsmith)
- Llama 4 Maverick: neither named (first choices: Cloudsmith) (alternatives: Packagecloud)
- Qwen 3.7 Flash: neither named (first choices: JFrog Artifactory) (alternatives: AWS CodeArtifact, Azure Artifacts, Sonatype Lifecycle)
- GLM 4.7 FlashX: neither named (first choices: Sonatype Nexus Repository) (alternatives: Cloudsmith, Harbor, JFrog Artifactory)
- MiniMax M2.5: neither named (first choices: Sonatype Nexus Repository) (alternatives: AWS CodeArtifact, Cloudsmith, JFrog Artifactory)
- GPT-6 Luna: neither named (first choices: Cloudsmith) (alternatives: AWS CodeArtifact, JFrog Artifactory, Sonatype Nexus Repository)
- Muse Glimmer 30B: neither named (first choices: Sonatype Nexus Repository) (alternatives: CloudRepo, Cloudsmith, JFrog Artifactory)

## What the models said about Amazon Elastic Container Registry

- "2. Amazon Elastic Container Registry (ECR) - a fully-managed Docker container registry that makes it easy for developers to store, manage, and deploy Docker container images." (Llama 4 Maverick, paraphrase prompt, first choice)
- "For most mid-sized B2B companies, Amazon ECR is the top recommendation due to its scalability, security, and AWS ecosystem integration." (Mistral Small, paraphrase prompt, first choice)
- "For 90% of mid-sized B2B companies, Amazon ECR or Google Artifact Registry is the safest, most secure, and most scalable bet." (Gemini 3.5 Flash, paraphrase prompt, first choice)

## What the models said about GitHub Packages

- "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)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.