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Artifact and container registries · November 2026 Edition

Amazon ECR vs GitHub Packages

Zero of fourteen models named Amazon ECR first on the direct prompt; two named GitHub Packages. Amazon ECR was named by ten of the fourteen models and GitHub Packages by fourteen and Amazon ECR carries 14 labels and GitHub Packages 64, so the shares are not directly comparable.

Amazon ECR

accepted challenger

Named in one category this edition.

GitHub Packages

accepted challenger

Named in one category this edition.

First-choice share8%5%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate7%9%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#4A position in a field of 15; printed, not drawn.
Labels1464A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Amazon ECR reading right to left. Rank and label count are printed, not drawn.JFrog Artifactory was named alongside these two in twelve of the fourteen direct answers. Sonatype Nexus Repository vs Amazon ECR · Sonatype Nexus Repository vs GitHub Packages · JFrog Artifactory vs Amazon ECR

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.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Amazon ECRFirst choices, of fourteen modelsGitHub Packages
Direct021 against GitHub Packages
Paraphrase51
Comparative00
Budget-constrained00
Scale-constrained00
Negative001 against Amazon ECR · 5 against GitHub Packages
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Amazon ECR and GitHub Packages stood in it.
ModelDirectAEGPParaphraseAEGPComparativeAEGPBudget-constrainedAEGPScale-constrainedAEGPNegativeAEGP
Claude Haiku 4.5GPGPGP
GPT-5.4 miniGPAE
Gemini 3.5 FlashGPGPGPGP
Perplexity SonarGPAEGPAEGPGP
Grok 4.20GPGPGPGP
Mistral SmallGPAEGP
DeepSeek V4 FlashGPAEGPGPGPGPGP
Llama 4 MaverickGPGPGP
Qwen 3.7 FlashAEGPAEGPGP
Kimi K2GPGPGPGPGP
GLM 4.7 FlashXGPGP
MiniMax M2.5GPAEGPGP
GPT-6 LunaAEGPAEGPGP
Muse Glimmer 30BAEGPGP
AE Amazon ECRGP GitHub PackagesAE first choiceAE named as an alternativeAE argued againstblank: not namedEach cell is one answer, Amazon ECR on the left and GitHub Packages on the right.

The direct prompt

The plain question, one answer per model, grouped by where Amazon ECR and GitHub Packages stood in it.

GitHub Packages first, Amazon ECR not the choice

2 of 14 modelsAmazon ECR was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashGitHub Packages, GitLab Package Registry alternatives: AWS CodeArtifact, Azure Artifacts, Cloudsmith, ECR, JFrog Artifactory, Sonatype Nexus Repository
DeepSeek V4 FlashGitHub Packages, JFrog Artifactory alternatives: AWS CodeArtifact, Azure Artifacts, Cloudsmith, Google Artifact Registry, Sonatype Nexus Repository

Neither was the first choice, one was named

6 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Artifactory, Nexus Repository alternatives: AWS CodeArtifact, GitHub Packages, GitLab Package Registry
Perplexity SonarCloudsmith alternatives: AWS CodeArtifact, GitHub Packages, JFrog Artifactory, Sonatype Nexus Repository
Grok 4.20JFrog Artifactory alternatives: AWS CodeArtifact, Azure Artifacts, Cloudsmith, GHCR, GitHub Packages, Harbor, ProGet, Sonatype Lifecycle
Llama 4 MaverickJFrog Artifactory alternatives: Amazon Elastic Container Registry, GitHub Packages, Google Artifact Registry, Sonatype Nexus Repository
Kimi K2Sonatype Nexus Repository alternatives: Cloudsmith, GitHub Packages
MiniMax M2.5Sonatype Nexus Repository alternatives: AWS CodeArtifact, GitHub Packages, Google Artifact Registry, JFrog Artifactory

Neither was named

6 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniSonatype Nexus Repository alternatives: AWS CodeArtifact, JFrog Artifactory
Mistral SmallJFrog Artifactory alternatives: AWS CodeArtifact, Azure Artifacts, Cloudsmith, Google Artifact Registry, Harbor, Sonatype Nexus Repository
Qwen 3.7 FlashJFrog Artifactory alternatives: AWS ECR, Azure Container Registry, GitLab Package Registry, Google Artifact Registry, Sonatype Lifecycle
GLM 4.7 FlashXSonatype Nexus Repository alternatives: Harbor, JFrog Artifactory
GPT-6 LunaCloudsmith alternatives: AWS CodeArtifact, JFrog Artifactory, Sonatype Nexus Repository
Muse Glimmer 30BJFrog Artifactory alternatives: Cloudsmith, Sonatype Nexus Repository

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.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
GitHub Packages leads by forty-seven points.
GitHub Packages50%#1 of 13
Amazon ECR3%#5 of 13
The full small business standing →
Mid-marketThe figures above
The order flips: Amazon ECR leads at mid-market.
Amazon ECR8%#3 of 15
GitHub Packages5%#4 of 15
The full mid-market standing →
Enterprise
Amazon ECR leads by two points.
Amazon ECR2%#7 of 16
GitHub Packages0%#15 of 16
The full enterprise standing →

What the models said about Amazon ECR

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.

“you should still: Ensure they are properly configured and not publicly exposed unless necessary.” Mistral Small · negative prompt · soft negative
“AWS workloads: Amazon ECR. It supports image scanning, lifecycle cleanup, and cross-account or cross-region replication.” GPT-6 Luna · paraphrase prompt · first choice
“Primarily AWS, ECS/EKS/Fargate today → start with Amazon ECR for zero egress pull costs inside AWS and IAM-native access.” Muse Glimmer 30B · paraphrase prompt · first choice
“Best default for most mid-sized B2B companies: AWS ECR, ACR, or Artifact Registry depending on your cloud.” GPT-5.4 mini · paraphrase prompt · first choice

What the models said about GitHub Packages

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“public registries like Docker Hub, GitHub Container Registry (GHCR), or Google Artifact Registry are convenient, they pose high risks” Qwen 3.7 Flash · negative prompt · hard negative
“only if you're very GitHub-centric and your package format needs are modest, since it is narrower in scope” GPT-5.4 mini · direct prompt · soft negative
“you should still: Ensure they are properly configured and not publicly exposed unless necessary.” Mistral Small · negative prompt · soft negative
“start with GitHub Packages (free with your plan) and migrate to JFrog Artifactory once you outgrow it” DeepSeek V4 Flash · direct prompt · first choice
“Top Recommendation: Azure Container Registry (ACR) or GitHub Container Registry (GHCR)” Kimi K2 · paraphrase prompt · first choice
“Start with GitHub Packages / GitLab if your stack is standard.” Gemini 3.5 Flash · direct prompt · first choice
Also compared

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.