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Managed Kubernetes platforms · October 2026 Edition

Google Kubernetes Engine vs Amazon EKS

Eleven of fourteen models named Google Kubernetes Engine first on the direct prompt; three named Amazon EKS. Both were named by all fourteen models and Google Kubernetes Engine carries 75 labels and Amazon EKS 71, so the shares are not directly comparable.

Named in one category this edition.

Amazon EKS

criticized challenger

Named in one category this edition.

First-choice share43%15%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate15%32%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#2A position in a field of 10; printed, not drawn.
Labels7571A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Google Kubernetes Engine reading right to left. Rank and label count are printed, not drawn.Azure Kubernetes Service was named alongside these two in nine of the fourteen direct answers. Google Kubernetes Engine vs DigitalOcean Kubernetes · Google Kubernetes Engine vs Azure Kubernetes Service · Google Kubernetes Engine vs Civo Kubernetes

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.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Google Kubernetes EngineFirst choices, of fourteen modelsAmazon EKS
Direct1132 against Amazon EKS
Paraphrase125
Comparative82
Budget-constrained104 against Google Kubernetes Engine · 9 against Amazon EKS
Scale-constrained42
Negative606 against Google Kubernetes Engine · 12 against Amazon EKS
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.

Across every category in the October 2026 Edition, Google Kubernetes Engine and Amazon EKS were named in the same answer 198 times, of the 208 answers naming Google Kubernetes Engine and the 214 naming Amazon EKS. In those answers Amazon EKS took the first choice six times and Google Kubernetes Engine sixty-seven.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Google Kubernetes Engine and Amazon EKS stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
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
Google Kubernetes Engine Amazon EKS first choice named as an alternative argued againstblank: not namedEach cell is one answer, Google Kubernetes Engine on the left and Amazon EKS on the right.

The direct prompt

The plain question, one answer per model, grouped by where Google Kubernetes Engine and Amazon EKS stood in it.

Both were the first choice

3 of 14 modelsThe answer named them together, and the judge labeled each a first choice.
Claude Haiku 4.5Amazon EKS, Google Kubernetes Engine alternatives: DigitalOcean Kubernetes, Linode Kubernetes Engine
GPT-5.4 miniAmazon EKS, Google Kubernetes Engine
Mistral SmallAmazon EKS, Azure Kubernetes Service, Google Kubernetes Engine alternatives: DigitalOcean Kubernetes, Rancher, Red Hat OpenShift

Google Kubernetes Engine first, Amazon EKS an alternative

8 of 14 modelsAmazon EKS was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashGoogle Kubernetes Engine alternatives: Amazon EKS, Azure Kubernetes Service, DigitalOcean Kubernetes
Perplexity SonarGoogle Kubernetes Engine alternatives: Azure Kubernetes Service, Northflank, Red Hat OpenShift
Grok 4.1 FastGoogle Kubernetes Engine alternatives: Amazon EKS, Azure Kubernetes Service, DOKS, RKE2, Rancher
DeepSeek V4 FlashGoogle Kubernetes Engine alternatives: Amazon EKS, Azure Kubernetes Service, DigitalOcean Kubernetes
GLM 4.7 FlashXGoogle Kubernetes Engine alternatives: Amazon EKS, Azure Kubernetes Service, Oracle Container Engine for Kubernetes, Rackspace Spot
MiniMax M2.5Azure Kubernetes Service, Google Kubernetes Engine alternatives: Platform9 Managed Kubernetes, Rancher
GPT-6 LunaGoogle Kubernetes Engine alternatives: AKS Automatic, Amazon EKS Auto Mode
Muse Glimmer 30BGoogle Kubernetes Engine alternatives: Amazon EKS, Azure Kubernetes Service, DigitalOcean Kubernetes

Neither was the first choice, one was named

2 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Qwen 3.7 FlashMicrosoft Azure alternatives: Amazon EKS, DigitalOcean Kubernetes, Google Cloud, Linode Kubernetes Engine, Rancher
Kimi K2Azure Kubernetes Service alternatives: DigitalOcean Kubernetes, Google Kubernetes Engine

Neither was named

1 of 14 modelsThe answer made no first choice from these two in this category.
Llama 4 MaverickLinode Kubernetes Engine alternatives: Northflank, Platform9 Managed Kubernetes

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
Google Kubernetes Engine leads by twenty-four points.
Google Kubernetes Engine25%#2 of 10
Amazon EKS2%#7 of 10
The full small business standing →
Mid-marketThe figures above
Google Kubernetes Engine leads by twenty-eight points.
Google Kubernetes Engine43%#1 of 10
Amazon EKS15%#2 of 10
The full mid-market standing →
Enterprise
Google Kubernetes Engine leads by six points.
Google Kubernetes Engine31%#1 of 9
Amazon EKS25%#2 of 9
The full enterprise standing →

What the models said about Google Kubernetes Engine

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

“Avoid EKS / AKS / GKE if you need low operational overhead on a tight budget or want maximum portability.” Muse Glimmer 30B · negative prompt · hard negative
“Avoid for tight budgets: Big 3 (GKE/AKS/EKS) due to control plane fees” Grok 4.1 Fast · budget prompt · hard negative
“Avoid the big three (AWS EKS, GCP GKE Standard, Azure AKS standard)” DeepSeek V4 Flash · budget prompt · hard negative
“choose GKE Autopilot if you are building greenfield or starting fresh—its operational simplicity is like having an extra full-time DevOps engineer” Gemini 3.5 Flash · direct prompt · first choice
“Offers the most polished managed Kubernetes experience from any hyperscaler, with Autopilot mode that removes node management entirely” Claude Haiku 4.5 · comparative prompt · first choice
“most organizations are best served by GKE (Google) or AKS (Azure) \u2014 generally considered the most mature managed offerings” DeepSeek V4 Flash · negative prompt · first choice

What the models said about Amazon EKS

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

“Avoid EKS / AKS / GKE if you need low operational overhead on a tight budget or want maximum portability.” Muse Glimmer 30B · negative prompt · hard negative
“Avoid for tight budgets: Big 3 (GKE/AKS/EKS) due to control plane fees” Grok 4.1 Fast · budget prompt · hard negative
“"the worst managed Kubernetes provider out of all the major players."” MiniMax M2.5 · negative prompt · hard negative
“AWS EKS or Google GKE are often the safest bets due to their maturity, extensive ecosystems, and reliability” Claude Haiku 4.5 · direct prompt · first choice
“For most teams, the shortlist is Amazon EKS, Google Kubernetes Engine (GKE), and Azure Kubernetes Service (AKS).” GPT-6 Luna · comparative prompt · first choice
“Go with Amazon EKS (with Karpenter) if you are already on AWS and want the largest ecosystem of tools and talent.” Gemini 3.5 Flash · paraphrase 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.