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Google Vertex AI Review 2026 — Enterprise Gemini API and ML Platform

Google Vertex AI is the complete Google Cloud ML platform with enterprise Gemini API, 150+ models, AutoML, and Vertex AI Search. HIPAA and SOC 2 compliant.

Google Vertex AI Review 2026 — Enterprise Gemini API and ML Platform

Gemini Enterprise Agent Platform, formerly Vertex AI, gives developers tools to build agents and model-based applications, access foundation models, connect private data, train and tune models, and deploy workloads.

It is used by developers, data scientists, and machine-learning teams. Agent Studio supports low-code development, while the Agent Development Kit, Model Garden, RAG Engine, notebooks, pipelines, model registry, monitoring, and observability support code-based and production workflows.

There is no simple subscription tier. Costs are usage-based across models, compute, storage, pipelines, vector search, and other Google Cloud resources. New customers can receive up to $300 in credits.

Features

  • Build agents with the low-code Agent Studio or the Agent Development Kit
  • Access Google, third-party, and open-source models through Model Garden
  • Connect private enterprise data to models with RAG Engine
  • Train, tune, deploy, and monitor machine-learning models
  • Use Colab Enterprise or Workbench notebooks for development and experimentation
  • Manage models with Model Registry, Pipelines, Feature Store, and Model Monitoring
  • Govern agents with Agent Identity, Agent Gateway, and Agent Registry
  • Integrate with Google Cloud through the Agent Platform API and CLI

Use cases

  • Build and deploy enterprise AI agents
  • Ground model responses in private company data
  • Train and tune custom machine-learning models
  • Evaluate, monitor, and improve models in production
  • Orchestrate repeatable machine-learning workflows
  • Develop and test agents in notebooks or local coding tools

Pros

    Cons

      Latest updates

      Capabilities

      • Command line — “Download Antigravity and log in to the desktop application or Antigravity CLI using your standard Google Cloud credentials.” source
      • Choice of models — “Choose from Google’s latest multimodal models like Gemini 4 Argon, third-party models like Anthropic's Claude Model Family, and open models like Gemma in Model Garden .” source
      • API — “Access Gemini models via the Gemini API in Gemini platform” source
      • Official SDKs — “Install the Agent Platform SDK for Python” source
      • Runs models for you — “register your model to Model Registry and use the Gemini platform prediction service for batch and online predictions.” source
      • Builds agents and workflows — “For developers, Gemini platform remains our advanced platform where you can build, customize, and fine-tune sophisticated agents using frameworks like the Agent Development Kit (ADK) .” source
      • Search over your data — “Document retrieval on the Gemini platform is handled by Agent Search .” source
      • Traces and evaluates — “Evaluate agents” source

      Get it

      Pricing

      Prices checked
      2026-10-24

      AutoML image data — Training

      • $3.465 / 1 hour
      • $3.1185 / 1 hour
      • $2.772 / 1 hour
      • Standard rate; 1-year and 3-year Flexible Savings Plan rates

      AutoML image data — Training (Edge on-device model)

      • $18.00 / 1 hour
      • $16.20 / 1 hour
      • $14.40 / 1 hour
      • Standard rate; 1-year and 3-year Flexible Savings Plan rates

      AutoML image data — Deployment and online prediction (classi

      • $1.375 / 1 hour
      • $1.2375 / 1 hour
      • $1.10 / 1 hour
      • Standard rate; 1-year and 3-year Flexible Savings Plan rates

      AutoML image data — Deployment and online prediction (object

      • $2.002 / 1 hour
      • $1.8018 / 1 hour
      • $1.6016 / 1 hour
      • Standard rate; 1-year and 3-year Flexible Savings Plan rates

      AutoML image data — Batch prediction

      • $2.222 / 1 hour
      • $1.9998 / 1 hour
      • $1.7776 / 1 hour
      • Standard rate; 1-year and 3-year Flexible Savings Plan rates

      AutoML tabular data — Training

      • $21.252 / 1 hour
      • $19.1268 / 1 hour
      • $17.0016 / 1 hour
      • Price per node hour for classification/regression
      • Standard rate; 1-year and 3-year Flexible Savings Plan rates

      Forecasting in Gemini platform — Prediction

      • $0.20 / 1,000 count, per 1 month / account (0 count to 1,000,000 count)
      • $0.10 / 1,000 count, per 1 month / account (1,000,000 count to 50,000,000 count)
      • $0.02 / 1,000 count, per 1 month / account (50,000,000 count and above)
      • $0.18 / 1,000 count, per 1 month / account (1-year Flexible Savings Plan)
      • $0.09 / 1,000 count, per 1 month / account (1-year Flexible Savings Plan)
      • $0.018 / 1,000 count, per 1 month / account (1-year Flexible Savings Plan)
      • $0.16 / 1,000 count, per 1 month / account (3-year Flexible Savings Plan)
      • $0.08 / 1,000 count, per 1 month / account (3-year Flexible Savings Plan)
      • $0.016 / 1,000 count, per 1 month / account (3-year Flexible Savings Plan)
      • Tiered by monthly prediction data points
      • Up to 5 prediction quantiles included at no additional cost

      Forecasting in Gemini platform — Training

      • $21.252 / 1 hour
      • $19.1268 / 1 hour
      • $17.0016 / 1 hour
      • Standard rate; 1-year and 3-year Flexible Savings Plan rates

      ARIMA+ — Prediction

      • $5.00 / 1,000 count
      • $4.50 / 1,000 count
      • $4.00 / 1,000 count
      • Standard rate; 1-year and 3-year Flexible Savings Plan rates

      ARIMA+ — Training

      • $250.00 per TB x Number of Candidate Models x Number of Backtesting Windows*
      • Training price is multiplied by candidate models and backtesting windows
      Official website