Overview
Vertex AI is Google Cloud's **end-to-end machine learning and generative AI platform**, positioned as a one-stop foundation for enterprises to complete the entire process of "training → deployment → operations → governance" for AI models. It serves as the official enterprise entry point for the Gemini model series, complementing the developer-oriented Google AI Studio.
Core capabilities cover three major areas: **Enterprise-grade Gemini 3.1 Pro / Flash invocation** (including 1M token long context), **Model Garden (integrating 200+ open-source and third-party models, including Llama, Mistral, Claude, and Anthropic's Bedrock equivalents)**, and **a complete MLOps toolchain** (Pipelines, Feature Store, Model Monitoring, Prediction, Training). In recent years, it has added specialized generative AI capabilities such as **Agent Builder, RAG Engine, and Grounding with Google Search**, making it the de facto standard platform for enterprise AI applications within the Gemini ecosystem.
**🔥 Major Brand Upgrade on 2026/4/22**: At the **Google Cloud Next 2026 conference** (4/22-24), Vertex AI was officially upgraded to the **Gemini Enterprise Agent Platform**—not just a simple name change, but a strategic leap for Google Cloud AI from "Model as a Service (MaaS)" to "Agent as a Platform (AaaP)." API endpoints remain compatible, but the console entry point has been redirected. Key new capabilities include: **Agent Builder** (enterprise-grade Agent construction), **Gen AI SDK** (replacing the old Vertex AI SDK), multi-agent orchestration, enterprise governance, and scaling. It is Google's complete enterprise Agent solution competing with OpenAI Enterprise + Claude Enterprise + Coze.
Key Features
- Enterprise-grade Gemini 3.1 Pro / Flash: 1M context, native multimodal, VPC SC private network, compliance auditing, all included
- Model Garden 200+: Integrates 200+ open-source and third-party models including Llama, Mistral, Claude, Gemma, Imagen, Veo
- Agent Builder: Low-code construction of enterprise-grade AI Agents, supporting tool invocation and multi-step orchestration
- RAG Engine + Vector Search: Managed RAG and vector search, deeply integrated with BigQuery / Cloud Storage
- Grounding with Google Search: Model responses access Google Search in real-time, significantly reducing hallucinations
- Complete MLOps Toolchain: Pipelines / Feature Store / Model Monitoring / Training / Prediction, all in one
- Fine-tuning + Supervised / RLHF: Supports supervised fine-tuning, RLHF, and continued pre-training; weights belong to the customer
Use Cases
- Enterprises heavily using the GCP ecosystem (BigQuery / GKE / Cloud Storage)
- Production scenarios requiring Gemini 3.1 Pro + 1M context + private network
- Large-scale AI projects requiring end-to-end MLOps from data to model
- Enterprises needing multi-model comparison and selection (try all at once with Model Garden)
- Search-enhanced (Grounding) products
Pros
- Gemini 3.1 Pro is top-tier on benchmarks like MMLU-Pro / GPQA; Vertex is the only official enterprise entry point
- Model Garden provides access to 200+ models at once, offering the highest model selection flexibility across all clouds
- MLOps maturity is comprehensively leading among the three major clouds
- Seamless integration with BigQuery / GCS data lakes
- Grounding with Google Search is a unique capability
- Compliance covers SOC / ISO / HIPAA / FedRAMP
Pricing
Billed per model by token / training hour / prediction node. Reference: Gemini 3.1 Pro input ~$1.25/M, output ~$10/M; Gemini 3.1 Flash input $0.075/M, output $0.30/M; Model Garden models follow third-party pricing (Claude / Llama etc. each have their own pricing). Fine-tuning is billed by training token. New users receive $300 in GCP credits.
Summary
Vertex AI is **the only official channel for enterprises wanting to use Gemini in production**—and the platform with the most complete MLOps capabilities and the most flexible model selection among the three major clouds. If your team is on GCP, use it directly; if on AWS / Azure, Bedrock / Azure OpenAI are more suitable. For lightweight development, start with Google AI Studio; switch to Vertex AI for production.