4 categories · RankedGoogle Vertex AI
Google Vertex AI is a machine learning platform on Google Cloud that covers the ML lifecycle from development to deployment · cloud.google.com ↗
Strongest at small business, contested with Azure Machine Learning. Ranked 11 of 140 for mid-market buyers.
The standing depends on who is buying. Every model is asked the same questions for each company size.
Ranked first, contested: Azure Machine Learning has 11%.
Databricks Mosaic AI is first at 24%. 0 of 14 models made it the first choice when asked directly.
Databricks Mosaic AI is first at 49%.
Why models recommend it
“usually AWS SageMaker AI, Azure Machine Learning, or Google Vertex AI”Perplexity Sonar · Paraphrase question · first choice
“Leaders: ... Google Vertex AI, Azure Machine Learning. These offer comprehensive, enterprise-ready ecosystems.”MiniMax M2.5 · Scale-constrained question · alternative
“Top G2-rated (98/100 satisfaction). Excellent for AutoML, custom training, explainability, and generative AI.”Grok 4.20 · Direct question · alternative
“If you are all-Google: Evaluate Google Vertex AI / Gemini. Similar integration depth for Gmail and Docs.”Qwen 3.7 Flash · Scale-constrained question · alternative
What gives them pause
“Vertex AI and SageMaker have been flagged as potentially costly or overly complex for smaller organizations”Perplexity Sonar · Negative question · warning
“Major Cloud ML Platforms (AWS SageMaker, Azure ML, Google Vertex AI) — for vendor lock-in concerns”DeepSeek V4 Flash · Negative question · warning
“Strong vendor lock-in—custom workflows tie you to their ecosystem, inflating long-term costs.”Grok 4.20 · Negative question · warning
“Watch out: Historically the most expensive of the big three for training compute.”DeepSeek V4 Flash · Paraphrase question · warning
Also on the shortlist
The products named in the same answers as Google Vertex AI, over the 162 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 144 | 15 | View → | |
| 136 | 16 | View → | |
| 106 | 29 | View → | |
| 75 | 1 | View → | |
| 59 | 7 | View → | |
| 52 | 6 | View → | |
| 30 | 0 | View → | |
| 29 | 1 | View → | |
| 26 | 1 | View → | |
| 23 | 4 | View → |
What the models named instead of Google Vertex AI →
A side-by-side page exists where both products are among a category's top eight.
How this is measured
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Sources returned with these answers
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 135 of the 162 answers that named Google Vertex AI and are not a share of its labels.
Domains cited
286 of the 327 domain citations in answers naming Google Vertex AI came from a third party's page. Forty-one were to the publisher's own pages (the Gane Index), which the models cite like any other source; they are not counted as a third party.
Pages cited
Pages are listed as the models cited them.
By model
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 2 | 1 | 0 | 3 |
| GPT-5.4 mini | 0 | 3 | 0 | 0 | 3 |
| Gemini 3.5 Flash | 0 | 1 | 1 | 0 | 2 |
| Perplexity Sonar | 1 | 2 | 0 | 1 | 4 |
| Grok 4.20 | 0 | 3 | 2 | 1 | 6 |
| Mistral Small | 0 | 3 | 2 | 1 | 6 |
| DeepSeek V4 Flash | 0 | 1 | 2 | 2 | 5 |
| Llama 4 Maverick | 0 | 2 | 2 | 0 | 4 |
| Qwen 3.7 Flash | 0 | 3 | 1 | 0 | 4 |
| Kimi K2 | 0 | 2 | 2 | 1 | 5 |
| GLM 4.7 FlashX | 0 | 2 | 2 | 0 | 4 |
| MiniMax M2.5 | 0 | 4 | 2 | 0 | 6 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 3 | 1 | 1 | 5 |
What it publishes
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 37 | 14 | 2026-09-28 | API management | |
| Case study | 19 | undated | |||
| Conference or event | 4 | undated | |||
| Report or ebook | 2 | undated | |||
| Glossary or explainer | 2 | undated | |||
| Webinar or virtual event | 1 | undated | |||
| Template or tool | 1 | undated | |||
| News or press | 1 | undated |
Most recent
- 2026-09-28Storage optimized z4d vm and bare metal instances blog
- 2026-09-28Accelerate geospatial coding with ai in google earth engine blog
- 2026-09-25Storage intelligence advisor and batch operations updates blog
- 2026-09-25Memorystore for valkey 9 1 3x qps caching blog
- 2026-09-252026 gartner magic quadrant for container management blog
- 2026-09-24Gemini 3 8 live with live avatar is now generally available blog
How it is countedHide how it is counted
Every page cloud.google.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.