Azure vs Google Cloud
One of fourteen models named Azure first on the direct prompt; one named Google Cloud. Azure was named by eleven of the fourteen models and Google Cloud by thirteen and Azure carries 21 labels and Google Cloud 57, so the shares are not directly comparable.
Azure
criticized challengerNamed in twelve categories this edition.
Named in twenty-three categories 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 cloud hosting page.
By framing
Across every category in the October 2026 Edition, Azure and Google Cloud were named in the same answer sixty-one times, of the 109 answers naming Azure and the 253 naming Google Cloud. In those answers Google Cloud took the first choice zero times and Azure five.
Every model, every framing
| Model | DirectAZ | ParaphraseAZ | ComparativeAZ | Budget-constrainedAZ | Scale-constrainedAZ | NegativeAZ |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | |||
| GPT-5.4 mini | | | | AZ | | |
| Gemini 3.5 Flash | | | | | ||
| Perplexity Sonar | | | AZ | |||
| Grok 4.1 Fast | | | | | ||
| Mistral Small | | | | AZ | ||
| DeepSeek V4 Flash | | | | | ||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | | | | | ||
| Kimi K2 | | | | AZ | | AZ |
| GLM 4.7 FlashX | | AZ | ||||
| MiniMax M2.5 | AZ | | | |||
| GPT-6 Luna | AZ | AZ | | | AZ | |
| Muse Glimmer 30B | AZ | AZ | |
Google CloudAZ first choiceAZ named as an alternativeAZ argued againstblank: not namedEach cell is one answer, Azure on the left and Google Cloud on the right.The direct prompt
Azure first, Google Cloud not the choice
1 of 14 modelsGoogle Cloud was named in the answer but not as the choice, or not at all.Google Cloud first, Azure not the choice
1 of 14 modelsAzure was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
10 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
2 of 14 modelsThe answer made no first choice from these two in this category.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
Google Cloud2%#11 of 14Google Cloud2%#7 of 12What the models said about Azure
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Avoid AWS and Azure for limited budgets” Kimi K2 · budget prompt · hard negative
“You may want to avoid these hyperscalers unless you require their advanced features and global reach.” Mistral Small · negative prompt · soft negative
“Azure is the most common safe middle ground: hybrid-friendly, enterprise-grade compliance, familiar tooling” Muse Glimmer 30B · paraphrase prompt · first choice
“For most mid-market B2B companies, I'd suggest AWS or Azure” MiniMax M2.5 · direct prompt · first choice
“If your organization is Microsoft-heavy or planning a hybrid environment, Azure becomes a strong alternative.” GLM 4.7 FlashX · paraphrase prompt · alternative
What the models said about Google Cloud
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Raw hyperscalers like AWS, Google Cloud, and Azure ... require more self-management, and can become expensive” Perplexity Sonar · negative prompt · soft negative
“the major hyperscalers (AWS, Microsoft Azure, Google Cloud Platform) generally offer superior reliability” DeepSeek V4 Flash · negative prompt · first choice
“Google Cloud Platform (GCP) is known for its data analytics, AI/ML capabilities, and competitive pricing” Mistral Small · direct prompt · first choice
“GCP (3rd, fastest-growing ~28% YoY) | Data analytics, AI/ML, containers” Grok 4.1 Fast · comparative 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.