1 category · RankedGoogle Vertex AI
Standing by category
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant |
|---|---|---|---|---|---|---|
| ML platforms | Data platform | 8% | 4 of 99 | 20% | 44 | accepted challenger |
Movement
By model
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 1 | 0 | 2 |
| GPT-5.4 mini | 0 | 2 | 0 | 0 | 2 |
| Gemini 3.5 Flash | 0 | 4 | 0 | 1 | 5 |
| Perplexity Sonar | 0 | 2 | 0 | 1 | 3 |
| Grok 4.1 Fast | 1 | 0 | 3 | 2 | 6 |
| Mistral Small | 0 | 3 | 1 | 1 | 5 |
| DeepSeek V4 Flash | 2 | 2 | 0 | 1 | 5 |
| Llama 4 Maverick | 0 | 1 | 2 | 1 | 4 |
| Qwen 3.7 Flash | 0 | 1 | 1 | 1 | 3 |
| Kimi K2 | 0 | 2 | 1 | 0 | 3 |
| GLM 4.7 FlashX | 1 | 2 | 0 | 1 | 4 |
| MiniMax M2.5 | 0 | 2 | 0 | 0 | 2 |
By framing
What the models said for it
Verbatim evidence the judge attached to positive labels.
“graduate to Vertex AI for production. It consistently offers the best price-performance ratio for budget-conscious companies.” DeepSeek V4 Flash · ML platforms · budget prompt · first choice
“Google Cloud Vertex AI (especially Vertex AI Pipelines) is the most balanced, end‑to‑end MLOps platform for your stage.” GLM 4.7 FlashX · ML platforms · paraphrase prompt · first choice
“most often Amazon SageMaker (if on AWS), Google Vertex AI (GCP), or Azure Machine Learning (Azure)” Grok 4.1 Fast · ML platforms · paraphrase prompt · first choice
“(SageMaker, Azure ML, or Vertex AI) — it ships fastest, integrates cleanly, and scales with you” DeepSeek V4 Flash · ML platforms · direct prompt · first choice
And against it
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“Avoid these platforms if you are a small team, a startup, or just starting out.” GLM 4.7 FlashX · ML platforms · negative prompt · hard negative
“It can require significant setup/migration outside GCP and may be budget-heavy; generative AI token pricing can be hard to forecast.” Perplexity Sonar · ML platforms · negative prompt · soft negative
“Excellent integration if you're committed to one cloud, but their proprietary APIs ... make migration costly and difficult” DeepSeek V4 Flash · ML platforms · negative prompt · soft negative
“Watch Out For: It can become very expensive with large data workloads, and it offers fewer pre-built industry models” Qwen 3.7 Flash · ML platforms · negative prompt · soft negative
Named alongside
What carried it into the answer
Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 120 of the 143 answers that named Google Vertex AI and are not a share of its labels.
Domains cited
320 of the 320 domain citations in answers naming Google Vertex AI came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Names read as Google Vertex AI
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