Zero of fourteen models named Amazon ECR first on the direct prompt; zero named Google Artifact Registry. Amazon ECR was named by ten of the fourteen models and Google Artifact Registry by fourteen and Amazon ECR carries 14 labels and Google Artifact Registry 41, 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 November 2026 Edition, Amazon ECR and Google Artifact Registry were named in the same answer thirty-four times, of the 44 answers naming Amazon ECR and the 122 naming Google Artifact Registry. In those answers Google Artifact Registry took the first choice zero times and Amazon ECR five.
| Model | DirectAEGA | ParaphraseAEGA | ComparativeAEGA | Budget-constrainedAEGA | Scale-constrainedAEGA | NegativeAEGA |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | AEGA | |||||
| Gemini 3.5 Flash | GA | GA | GA | |||
| Perplexity Sonar | AEGA | AEGA | ||||
| Grok 4.20 | GA | GA | ||||
| Mistral Small | GA | GA | AEGA | |||
| DeepSeek V4 Flash | GA | AE | GA | GA | ||
| Llama 4 Maverick | GA | |||||
| Qwen 3.7 Flash | GA | AEGA | AEGA | GA | ||
| Kimi K2 | GA | GA | ||||
| GLM 4.7 FlashX | GA | |||||
| MiniMax M2.5 | GA | AE | GA | GA | ||
| GPT-6 Luna | AE | AEGA | ||||
| Muse Glimmer 30B | AEGA | GA |
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. 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
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 ... they pose high risks” Qwen 3.7 Flash · negative prompt · hard negative
“you should still: Ensure they are properly configured and not publicly exposed unless necessary.” Mistral Small · negative prompt · soft negative
“Not to be *avoided*, but cautious about relying on them as your only registry.” DeepSeek V4 Flash · negative prompt · soft negative
“if you need a single platform for all types of software artifacts, consider an artifact registry like Google Artifact Registry, Azure Artifacts, or JFrog Artifactory” Mistral Small · comparative prompt · first choice
“Google Artifact Registry or AWS ECR are common picks, but the cloud you already use should decide it.” GPT-5.4 mini · paraphrase prompt · first choice
“Top Recommendation: Google Artifact Registry (if you're cloud-agnostic or on GCP/multi-cloud)” Grok 4.20 · paraphrase 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.