Eleven of fourteen models named Google Kubernetes Engine first on the direct prompt; zero named Amazon EKS. Both were named by all fourteen models and Google Kubernetes Engine carries 77 labels and Amazon EKS 72, 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 managed kubernetes platforms page.
Across every category in the November 2026 Edition, Google Kubernetes Engine and Amazon EKS were named in the same answer 217 times, of the 227 answers naming Google Kubernetes Engine and the 223 naming Amazon EKS. In those answers Amazon EKS took the first choice five times and Google Kubernetes Engine eighty-two.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.20 | ||||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | ||||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B |
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. Six of eight in this category shown.
“What to Avoid (The "Expensive" Options) ... AWS EKS, Google GKE, and Azure AKS ... budget killers” Qwen 3.7 Flash · budget prompt · hard negative
“You need privileged containers, node-level access, or fine-grained control over node infrastructure. Autopilot deliberately restricts some of these” GPT-6 Luna · negative prompt · soft negative
“GKE is deeply integrated with Google Cloud's specific networking and observability tools. Moving workloads off GKE can be difficult.” GLM 4.7 FlashX · negative prompt · soft negative
“the recommended hosted Kubernetes service for a mid-sized B2B company is Google Kubernetes Engine (GKE), as it is the clear leader with 43% of first choices” Llama 4 Maverick · paraphrase prompt · first choice
“If you want the most automation out of the box and strong ML/AI integrations, GKE is the most recommended choice in current AI model consensus.” Muse Glimmer 30B · direct prompt · first choice
“Often ranked as the best overall for reliability, monitoring, and ease (especially Autopilot mode, which is more "hands-off").” Grok 4.20 · negative 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.
“What to Avoid (The "Expensive" Options) ... AWS EKS, Google GKE, and Azure AKS ... introduce several "budget killers"” Qwen 3.7 Flash · budget prompt · hard negative
“Frequently cited as one of the most frustrating... Many teams report it as a "nightmare" for anything beyond basic setups.” Grok 4.20 · negative prompt · hard negative
“Avoid AWS EKS for tight budgets unless you have heavy AWS usage (control plane fees + EC2 costs add up quickly).” Grok 4.20 · budget prompt · hard negative
“For most mid-sized B2B companies, EKS, GKE, or AKS are the top picks due to their maturity and ecosystem.” Mistral Small · paraphrase prompt · first choice
“EKS is usually the safest default for a mid-sized B2B company” GPT-5.4 mini · paraphrase prompt · first choice
“Preferable if the company already relies heavily on AWS services... typically requires more platform-engineering effort.” Perplexity Sonar · paraphrase prompt · alternative
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.