# Amazon Elastic Container Registry vs Cloudsmith: 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; five named Cloudsmith. Page: https://it-ai-index.com/developer/artifact-and-container-registries/amazon-elastic-container-registry-vs-cloudsmith/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Amazon Elastic Container Registry | 10% | #3 of 16 | 0% | 15 | 9 of 14 |
| Cloudsmith | 8% | #4 of 16 | 10% | 21 | 10 of 14 |

## The direct prompt, model by model

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

## 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 Cloudsmith

- "Skip cloud-hosted options (like JFrog Cloud or Cloudsmith)" (DeepSeek V4 Flash, budget prompt, hard negative)
- "Cons: Can get expensive with high usage" (MiniMax M2.5, budget prompt, soft negative)
- "Cloudsmith - a natural fit for engineering teams at scaling startups and mid-size companies that want enterprise-grade artifact management" (Llama 4 Maverick, direct prompt, first choice)
- "Cloudsmith stands out as a particularly strong choice for engineering teams at scaling startups and mid-size companies" (Mistral Small, direct prompt, first choice)
- "Best Overall for SaaS & Multi-Language Stacks: Cloudsmith ... is the standout choice" (Gemini 3.5 Flash, 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.