# Amazon ECR 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 ECR first on the direct prompt; one named GitHub Packages. Page: https://it-ai-index.com/developer/artifact-and-container-registries/amazon-ecr-vs-github-packages/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Amazon ECR | 8% | #5 of 16 | 0% | 12 | 8 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 ECR

- "If you want a single default recommendation without more context, I'd lean toward Amazon ECR for a mid-sized B2B company" (GPT-5.4 mini, paraphrase prompt, first choice)
- "AWS Elastic Container Registry (ECR) is the obvious choice if you're running on AWS" (Claude Haiku 4.5, paraphrase prompt, first choice)
- "For most mid-sized B2B companies, I'd start with Amazon ECR if you're on AWS" (GLM 4.7 FlashX, 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.