Managed Kubernetes platforms for enterprise buyers
Asked as “managed Kubernetes platform”, and as “hosted Kubernetes service”, on behalf of an enterprise B2B company. 52 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
31%
Contested · Amazon EKS 25%
31Google Kubernetes Engine25Amazon EKS19Azure Kubernetes Service25others
31% of first choices, contested.
Since September 2026▼−3Since September 2026: 33% → 30%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Google Kubernetes Engine held the lead, −3 points on 33%, inside the 11-point floor.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
Small business
DigitalOcean Kubernetes55%Clear leader▲+15Since September 2026: 39% → 54%, +15 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →Mid-market
Google Kubernetes Engine43%Clear leader▲+3Since September 2026: 39% → 42%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →EnterpriseGoogle Kubernetes Engine31%Contested▼−3Since September 2026: 33% → 30%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This page
DigitalOcean Kubernetes55%Clear leader▲+15Since September 2026: 39% → 54%, +15 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →Mid-marketGoogle Kubernetes Engine43%Clear leader▲+3Since September 2026: 39% → 42%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →EnterpriseGoogle Kubernetes Engine31%Contested▼−3Since September 2026: 33% → 30%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This pageThe standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Google Kubernetes Engine Lab in the set31%16%70endorsed leader▼−3Since September 2026: 33% → 30%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.33% → 30%
Google Kubernetes Engine Lab in the set31%16%70endorsed leader▼−3Since September 2026: 33% → 30%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.33% → 30%02
Amazon EKS25%24%76accepted challenger▲+1Since September 2026: 24% → 25%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.24% → 25%
Amazon EKS25%24%76accepted challenger▲+1Since September 2026: 24% → 25%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.24% → 25%03
Azure Kubernetes Service19%13%70accepted challenger▲+8Since September 2026: 12% → 20%, +8 points. Inside the 11-point floor: within noise. Read over the models both editions asked.12% → 20%
Azure Kubernetes Service19%13%70accepted challenger▲+8Since September 2026: 12% → 20%, +8 points. Inside the 11-point floor: within noise. Read over the models both editions asked.12% → 20%04
Red Hat OpenShift6%16%56accepted challenger▼−5Since September 2026: 12% → 8%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.12% → 8%
Red Hat OpenShift6%16%56accepted challenger▼−5Since September 2026: 12% → 8%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.12% → 8%Show the five products at 0%, ordered by negative rate
09DigitalOcean Kubernetes0%70%10criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
DigitalOcean Kubernetes0%70%10criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%08
Platform9 Managed Kubernetes0%50%10criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
Platform9 Managed Kubernetes0%50%10criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%07
VMware Tanzu0%47%17criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
VMware Tanzu0%47%17criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%05
Rancher0%28%29criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Rancher0%28%29criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%06
IBM Cloud Kubernetes Service0%18%11accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
IBM Cloud Kubernetes Service0%18%11accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
Google Kubernetes Engine is made by Google, whose model Gemini 3.5 Flash is in the set. On the four share prompts that model made it the first choice two times of 4; the other thirteen models fourteen times of 52. Lab treatment is defined on the method page; the row is marked, not excluded.
Head to head
All fifteen head-to-head pages: the top six products, each against each
Google Kubernetes Engine vs Civo KubernetesGoogle Kubernetes Engine vs Linode Kubernetes EngineAmazon EKS vs DigitalOcean KubernetesAmazon EKS vs Azure Kubernetes ServiceAmazon EKS vs Civo KubernetesAmazon EKS vs Linode Kubernetes EngineDigitalOcean Kubernetes vs Azure Kubernetes ServiceDigitalOcean Kubernetes vs Civo KubernetesDigitalOcean Kubernetes vs Linode Kubernetes EngineAzure Kubernetes Service vs Civo KubernetesAzure Kubernetes Service vs Linode Kubernetes EngineCivo Kubernetes vs Linode Kubernetes Engine
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
010203040506070809Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Google Kubernetes Engine31%
Google Kubernetes Engine31%02Amazon EKS25%
Amazon EKS25%03Azure Kubernetes Service19%
Azure Kubernetes Service19%04Red Hat OpenShift6%
Red Hat OpenShift6%05Rancher0%
Rancher0%06IBM Cloud Kubernetes Service0%
IBM Cloud Kubernetes Service0%07VMware Tanzu0%
VMware Tanzu0%08Platform9 Managed Kubernetes0%
Platform9 Managed Kubernetes0%09DigitalOcean Kubernetes0%
DigitalOcean Kubernetes0%What they warned about
Three of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Perplexity Sonar, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5, GPT-6 Luna and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Amazon EKS24%
18 of 76 labels negative · 12 of 14 models · 2 hard negative
“**Avoid** pure usage-based models (standard EKS/GKE)” Kimi K2, budget prompt
Google Kubernetes Engine16%
11 of 70 labels negative · 9 of 14 models · 1 hard negative
“**Avoid** pure usage-based models (standard EKS/GKE)” Kimi K2, budget prompt
Azure Kubernetes Service13%
9 of 70 labels negative · 9 of 14 models
“are often a poor choice for organizations that plan to have applications that span multiple clouds or sync with their private data centers” Muse Glimmer 30B, negative prompt
Red Hat OpenShift16%
9 of 56 labels negative · 8 of 14 models
“OpenShift ... is cited for complex enterprise administration and additional paid subscriptions for full lifecycle management” Muse Glimmer 30B, negative prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
80 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 1171 links across 273 sites, every framing counted. Ranked by the number of answers carrying the site or page. 84 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
vendor site · Portainer36 answers · 64 citations · 12 models
vendor site · Mirantis32 answers · 46 citations · 11 models
vendor site · Northflank30 answers · 43 citations · 11 models
vendor site · Rackspace29 answers · 31 citations · 12 models
24 answers · 31 citations · 9 models
24 answers · 29 citations · 8 models
vendor site · Qovery23 answers · 29 citations · 11 models
23 answers · 28 citations · 8 models
vendor site · Railway21 answers · 21 citations · 8 models
vendor site · DigitalOcean18 answers · 21 citations · 11 models
17 answers · 17 citations · 11 models
15 answers · 17 citations · 7 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
29 answers · 12 models
22 answers · 8 models
22 answers · 8 models
21 answers · 8 models
21 answers · 11 models
20 answers · 9 models
17 answers · 9 models
17 answers · 11 models
17 answers · 8 models
17 answers · 10 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best managed kubernetes platform”, “managed kubernetes platform”, “managed kubernetes platforms”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| Google Kubernetes Engine cloud.google.com Google Kubernetes Engine 31%, Google Kubernetes Engine Enterprise 6% | 37% | 194 | 2,400 | 15 | 7,405,347 | 4 | ||
| Amazon parent site Amazon EKS 25% | 25% | 200 | 151,000,000 | 1,380,939 | ||||
| Azure azure.microsoft.com Azure Kubernetes Service 19% | 19% | 188 | 301,000 | 47,904 | 1,848,766 | $6,123 | ||
| Red Hat OpenShift redhat.com | 6% | 98 | 2,900 | 89 | 1,347,338 | $281 | 117 | |
| Akamai parent site Akamai LKE 4%, Akamai Linode Kubernetes Engine 2% | 6% | 4 | 27,100 | 1,614 | ||||
| AKS Automatic | 2% | |||||||
| Google Kubernetes Engine, Google Cloud | 2% | |||||||
| OCI\u2019s Container Engine for Kubernetes | 2% | |||||||
| Red Hat OpenShift Dedicated or Red Hat OpenShift Service on AWS/ROSA | 2% | |||||||
| Rancher rancher.com Rancher 0%, Rancher Prime 0% | 0% | 57 | 12,100 | 30,642 | 11,297 |
Google's top ten for the three searches hold 19 sites; 4 of them are among the sites the models cited here (digitalocean.com, mirantis.com, portainer.io, spot.rackspace.com). The first result for “best managed kubernetes platform” is cycle.io.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best managed Kubernetes platform for an enterprise B2B company?”Paraphrase“Which hosted Kubernetes service would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade managed Kubernetes platforms and how do they differ?”Budget-constrained“What is the best managed Kubernetes platform for a large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements evaluating a managed Kubernetes platform. What should we look at?”Negative“Which managed Kubernetes platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5no first choiceAmazon EKSChangedGoogle Kubernetes EngineAzure Kubernetes Serviceno first choiceagainst: Amazon EKS, Google Kubernetes Engine, IBM Cloud Kubernetes Service, Mirantis Kubernetes Engine, Nutanix Kubernetes Platform, Red Hat OpenShift
Six alternatives
Amazon EKS, Azure Kubernetes Service, Giant Swarm, Google Kubernetes Engine, Rancher, Red Hat OpenShiftTwo alternatives
Azure Kubernetes Service, Google Kubernetes EngineTwo alternatives
Azure Kubernetes Service, Red Hat OpenShiftTwo alternatives
Portainer, Red Hat OpenShiftGPT-5.4 miniAmazon EKS, Google Kubernetes EngineAmazon EKSChangedno first choiceRed Hat OpenShift Dedicated or Red Hat OpenShift Service on AWS/ROSAagainst: Amazon EKSno first choicenothing named
One alternative
Red Hat OpenShiftTwo alternatives
Azure Kubernetes Service, Google Kubernetes EngineOne alternative
Google Kubernetes EngineGemini 3.5 FlashGoogle Kubernetes EngineGoogle Kubernetes EngineHeldGoogle Kubernetes Engineagainst: AWS EKS Anywhere, Azure Arc, Google Kubernetes Engine, Google Kubernetes Engine EnterpriseOCI\u2019s Container Engine for Kubernetesagainst: Amazon EKS, Azure Kubernetes Service, Rancherno first choiceagainst: Broadcom’s VMware Tanzu Platform, Civo Kubernetes, DigitalOcean Kubernetes, IBM IKS, Linode Kubernetes Engine, Oracle Container Engine for Kubernetes, Rancher, Red Hat OpenShift, Vultr Kubernetes Engine
Four alternatives
Amazon EKS, Azure Kubernetes Service, Rancher, Red Hat OpenShiftTwo alternatives
Amazon EKS, Azure Kubernetes ServiceFour alternatives
Amazon EKS, Azure Kubernetes Service, Rancher, Red Hat OpenShiftThree alternatives
CAST AI, Linode Kubernetes Engine, PortainerPerplexity SonarRed Hat OpenShiftAmazon EKSChangedno first choiceRed Hat OpenShiftagainst: Amazon EKSno first choiceagainst: Amazon EKS, Azure Kubernetes Service, Google Kubernetes Engine
Four alternatives
Amazon EKS, Azure Kubernetes Service, Google Kubernetes Engine, RancherTwo alternatives
Azure Kubernetes Service, Red Hat OpenShiftGrok 4.1 FastAmazon EKSAmazon EKSHeldagainst: Red Hat OpenShiftAmazon EKS, Azure Kubernetes Service, Google Kubernetes EngineAzure Kubernetes Serviceagainst: Amazon EKSGoogle Kubernetes Engineagainst: Platform9 Managed Kubernetesagainst: Amazon EKS, Azure Kubernetes Service, DigitalOcean Kubernetes, Linode Kubernetes Engine, Platform9 Managed Kubernetes, Rafay, Rancher, Red Hat OpenShift, Scaleway Kapsule, Spectro Cloud, VMware Tanzu, Vultr Kubernetes Engine
Three alternatives
Azure Kubernetes Service, Google Kubernetes Engine, Red Hat OpenShiftTwo alternatives
Azure Kubernetes Service, Google Kubernetes EngineFour alternatives
IBM Cloud Kubernetes Service, Oracle Container Engine for Kubernetes, Red Hat OpenShift, VMware TanzuOne alternative
Google Kubernetes EngineTwo alternatives
Amazon EKS, Azure Kubernetes ServiceMistral SmallAmazon EKSAzure Kubernetes Service, Google Kubernetes EngineChangedno first choiceGoogle Kubernetes Engineagainst: Red Hat OpenShiftno first choiceagainst: Platform9 Managed Kubernetes, Rancher, Spectro Cloud
Two alternatives
Google Kubernetes Engine Enterprise, RancherOne alternative
Amazon EKSSeven alternatives
Amazon EKS, Azure Kubernetes Service, Google Kubernetes Engine, IBM Cloud Kubernetes Service, Red Hat OpenShift, SUSE Rancher Prime: RKE2, VMware TanzuTwo alternatives
Amazon EKS, Azure Kubernetes ServiceDeepSeek V4 FlashGoogle Kubernetes EngineGoogle Kubernetes Engine EnterpriseChangedno first choiceagainst: DigitalOcean Kubernetes, VMware TanzuAzure Kubernetes Serviceno first choiceagainst: Rancher, VMware Tanzuagainst: Civo Kubernetes, Platform9 Managed Kubernetes, Red Hat OpenShift
Three alternatives
Amazon EKS, Azure Kubernetes Service, Red Hat OpenShiftTwo alternatives
Amazon EKS, Azure Kubernetes ServiceEight alternatives
Amazon EKS, Azure Kubernetes Service, Google Kubernetes Engine, Mirantis Kubernetes Engine, Oracle Container Engine for Kubernetes, RKE2, Rancher, Red Hat OpenShiftTwo alternatives
Amazon EKS, Google Kubernetes EngineLlama 4 Maverickno first choiceAkamai Linode Kubernetes Engine, Amazon EKS, Azure Kubernetes ServiceChangedNorthflankno first choiceno first choiceagainst: Amazon EKS, Azure Kubernetes Service, Google Kubernetes Engine
Three alternatives
Mirantis Kubernetes Engine, Nutanix Kubernetes Platform, Red Hat OpenShiftQwen 3.7 FlashGoogle Kubernetes EngineGoogle Kubernetes EngineHeldGoogle Kubernetes EngineRed Hat OpenShiftagainst: Amazon EKSno first choiceagainst: Amazon EKS, Azure Kubernetes Service, DigitalOcean Kubernetes, Google Kubernetes Engine, Linode Kubernetes Engine, Vultr Kubernetes Engine
Three alternatives
Amazon EKS, Azure Kubernetes Service, Red Hat OpenShiftThree alternatives
Amazon EKS, Azure Kubernetes Service, Red Hat OpenShiftFour alternatives
Amazon EKS, Azure Kubernetes Service, Red Hat OpenShift, VMware TanzuTwo alternatives
Azure Kubernetes Service, Google Kubernetes EngineKimi K2Google Kubernetes Engine EnterpriseAzure Kubernetes ServiceChangedGoogle Kubernetes EngineAzure Kubernetes Serviceagainst: Amazon EKS, Google Kubernetes Engine, VMware Tanzuno first choiceagainst: VMware Tanzuagainst: Amazon EKS, Azure Kubernetes Service, Docker Business, Google Kubernetes Engine, Rancher, Rancher Kubernetes Engine v1, Red Hat OpenShift, VMware Tanzu
Three alternatives
Amazon EKS, Azure Kubernetes Service, Red Hat OpenShiftTwo alternatives
Amazon EKS, Google Kubernetes EngineSix alternatives
Amazon EKS, Azure Kubernetes Service, Google Kubernetes Engine Enterprise, Rancher, Red Hat OpenShift, VMware TanzuOne alternative
Red Hat OpenShiftFive alternatives
Amazon EKS, Azure Kubernetes Service, Google Kubernetes Engine, Rancher, Red Hat OpenShiftGLM 4.7 FlashXGoogle Kubernetes EngineAmazon EKS, Google Kubernetes EngineChangedno first choiceAzure Kubernetes Serviceagainst: Amazon EKS, Google Kubernetes Engineno first choiceagainst: Amazon EKS, Azure Kubernetes Service, DigitalOcean Kubernetes, Google Kubernetes Engine, IBM Cloud Kubernetes Service, Linode Kubernetes Engine, Platform9 Managed Kubernetes, Rancher, VMware Tanzu
Five alternatives
Amazon EKS, Azure Kubernetes Service, IBM Cloud Kubernetes Service, Red Hat OpenShift, VMware TanzuThree alternatives
Azure Kubernetes Service, IBM Cloud Kubernetes Service, Red Hat OpenShiftMiniMax M2.5Amazon EKS, Google Kubernetes Engine EnterpriseGoogle Kubernetes EngineChangedno first choiceAkamai LKEno first choiceagainst: Amazon EKS, DigitalOcean Kubernetes, Linode Kubernetes Engine
Two alternatives
Azure Kubernetes Service, Red Hat OpenShiftTwo alternatives
Amazon EKS, Azure Kubernetes ServiceTwo alternatives
DigitalOcean Kubernetes, Red Hat OpenShiftGPT-6 LunaAKS Automatic, Amazon EKS, Google Kubernetes Engineagainst: Red Hat OpenShiftGoogle Kubernetes EngineChangedno first choiceGoogle Kubernetes EngineAmazon EKS, Azure Kubernetes Service, Google Kubernetes Engineagainst: Amazon EKS, Azure Kubernetes Service, DigitalOcean Kubernetes, Google Kubernetes Engine
Two alternatives
Amazon EKS, Azure Kubernetes ServiceFour alternatives
Amazon EKS, Azure Kubernetes Service, Google Kubernetes Engine, Red Hat OpenShiftThree alternatives
Amazon EKS, Azure Kubernetes Service, Red Hat OpenShiftMuse Glimmer 30BGoogle Kubernetes Engine, Google CloudAmazon EKSChangedGoogle Kubernetes EngineAkamai LKE, Azure Kubernetes Serviceagainst: Amazon EKSno first choiceagainst: Amazon EKS, Azure Kubernetes Service, Google Kubernetes Engine, Google Kubernetes Engine Enterprise, Red Hat OpenShift, VMware Tanzu
Four alternatives
Amazon EKS, Azure Kubernetes Service, Rancher, Red Hat OpenShiftFour alternatives
Azure Kubernetes Service, Google Kubernetes Engine, Mirantis Kubernetes Engine, Red Hat OpenShiftThree alternatives
Amazon EKS, Azure Kubernetes Service, Red Hat OpenShiftThree alternatives
Amazon EKS, Azure Kubernetes Service, Google Kubernetes EngineBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 12:23 | yes | 9 | 9 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:10 | yes | 3 | 8 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:50 | yes | 8 | 25 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 09:47 | yes | 17 | 4 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:15 | yes | 25 | 11 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:55 | yes | 12 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:08 | yes | 24 | 48 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:33 | yes | 5 | 1 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:01 | yes | 14 | 42 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:52 | yes | 25 | 34 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:02 | yes | 24 | 53 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:50 | yes | 5 | 19 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:18 | yes | 4 | 13 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:22 | yes | 14 | 26 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:52 | no | 0 | 4 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 13:08 | yes | 2 | 3 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:16 | no | 0 | 14 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 10:51 | yes | 19 | 2 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:15 | yes | 24 | 7 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:13 | yes | 10 | 6 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:42 | yes | 17 | 23 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:25 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:52 | yes | 5 | 29 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:58 | yes | 20 | 17 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:19 | yes | 20 | 59 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:56 | yes | 5 | 32 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:19 | yes | 2 | 11 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:11 | yes | 14 | 27 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:51 | yes | 9 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:47 | yes | 4 | 9 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:37 | yes | 13 | 24 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 12:42 | yes | 20 | 5 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:52 | yes | 24 | 10 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:51 | yes | 19 | 15 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:31 | yes | 24 | 36 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:21 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:27 | yes | 10 | 27 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:32 | yes | 19 | 29 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:07 | yes | 15 | 67 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:38 | yes | 14 | 16 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:57 | yes | 7 | 40 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:00 | yes | 15 | 32 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:12 | yes | 17 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:50 | yes | 3 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:22 | yes | 21 | 77 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 10:48 | yes | 18 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:48 | yes | 23 | 9 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:28 | yes | 20 | 9 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:05 | yes | 24 | 57 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:33 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:57 | yes | 10 | 56 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 13:12 | yes | 25 | 25 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:06 | yes | 23 | 27 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:35 | yes | 20 | 45 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:31 | yes | 5 | 25 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:13 | yes | 15 | 30 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:47 | yes | 27 | 16 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:37 | yes | 5 | 10 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:46 | yes | 13 | 37 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 08:53 | yes | 19 | 4 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:22 | yes | 23 | 16 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:46 | no | 0 | 11 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:46 | yes | 25 | 64 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:13 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:49 | no | 0 | 32 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:31 | yes | 24 | 45 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:44 | yes | 15 | 22 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:56 | yes | 5 | 13 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:58 | yes | 3 | 39 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:54 | yes | 15 | 26 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:57 | yes | 16 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:51 | yes | 4 | 11 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:39 | yes | 17 | 26 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 07:47 | yes | 20 | 3 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 13:18 | yes | 24 | 11 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 13:49 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:52 | yes | 24 | 39 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:39 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:02 | yes | 20 | 89 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:27 | yes | 24 | 24 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:11 | yes | 22 | 82 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:31 | yes | 25 | 34 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:19 | yes | 4 | 20 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:08 | yes | 23 | 31 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
AWS read as Amazon EKS
Civo read as Civo Kubernetes
DigitalOcean read as DigitalOcean Kubernetes
IBM Cloud Kubernetes read as IBM Cloud Kubernetes Service
IBM Kubernetes Service read as IBM Cloud Kubernetes Service
Linode read as Linode Kubernetes Engine
Mirantis read as Mirantis Kubernetes Engine
Oracle Kubernetes Engine (OKE) read as Oracle Container Engine for Kubernetes
Platform9 read as Platform9 Managed Kubernetes
Scaleway read as Scaleway Kapsule
VMware Tanzu Kubernetes Grid read as VMware Tanzu
VMware Tanzu Kubernetes Grid (TKG) read as VMware Tanzu
Vultr read as Vultr Kubernetes Engine
Unresolved, counted raw
Azure Arc
ECS
Google Kubernetes Engine, Google Cloud
IBM IKS
Mirantis MKE
OCI\u2019s Container Engine for Kubernetes (OKE)
Rancher Kubernetes Engine v1 (RKE1)
Red Hat OpenShift Dedicated or Red Hat OpenShift Service on AWS/ROSA
SUSE Rancher Prime: RKE2
Spectro
VMware Tanzu Kubernetes / Tanzu Platform
VMware vSphere Kubernetes Services (VKS)
Discontinued, still offered
No shut-down product was recommended here.