tools
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.
In inglese
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
- Anthropic's Claude Opus 5.5
Claude Opus 5.5 is available in Model Garden.
- CodeMender updates (v0.9.0) (v0.9.0)
Updated cm report --format html; added --open, scanning support for C#, Rust, Kotlin, Ruby, and PHP, and per-turn latency metrics.
- xAI's Grok 4.6 is generally available
Grok 4.6 is available for production use on the global endpoint and the US multi-region endpoint.
- Agent Platform SDK for Python version 2.0.1 is available (2.0.1)
Migrates generative AI modules to the Google Gen AI SDK, decouples the agent surface into a dedicated package, and introduces restructured namespaces.
- Gemini Omni Flash supports stateful and streaming video generation (Preview)
Supports stateful and server-sent event (SSE) streaming video generation in the Interactions API; generated videos and interaction state can be stored.
Capabilities
- Agent that edits files — “Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern and optimize agents.” source
- 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 3.7 Flash, third-party models like Anthropic's Claude Model Family, and open models like Gemma in Model Garden .” source
- API — “Set up the Agent Platform Gemini API” source
- Official SDKs — “Install the Agent Platform SDK for Python” source
- Runs models for you — “When you're ready to use your model to solve a real-world problem, register your model to Model Registry and use the Agent Platform prediction service for batch and online predictions.” source
- Builds agents and workflows — “Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern and optimize agents.” source
- Search over your data — “Grounding responses using RAG” source
- Traces and evaluates — “Our Model Evaluation service provides enterprise-grade tools for objective, data-driven assessment of generative AI models.” source
Get it
Pricing
- Starting price
- $0.0001
- Prices checked
- 2026-09-25
Imagen model for image generation
$0.0001
- Pricing is based on image input, character input, or custom training
Text, chat, and code generation
$0.0001 per 1,000 characters
- Charges are based on input prompt and output response characters
Custom model training
Contact sales
- Pricing depends on machine type, region, and accelerators
Agent Platform notebooks
Refer to products
- Compute and storage use the rates for Compute Engine and Cloud Storage
Agent Platform Pipelines
$0.03 per pipeline run
- Execution charges, resource usage, and additional service fees may apply
Agent Platform Vector Search
Refer to example
- Costs depend on data size, queries per second, and node count