Side-by-Side Comparison · 2026

Amazon Bedrock vs Google Vertex AI: Full Comparison (2026)

Amazon Bedrock is aws's managed service to build with frontier ai models from multiple providers. Google Vertex AI is google cloud's unified ml platform for enterprise ai at scale. Use the breakdown below to find the right fit for your needs.

Amazon Bedrock

Amazon Web Services

Paid
vs

Google Vertex AI

Google Cloud

Paid
This page presents factual information sourced from publicly available vendor documentation and product pages. AIHub does not endorse either product. The right tool depends on your specific use case, team, and requirements — we recommend evaluating both tools directly before making a decision.

Side-by-Side Overview

Pricing Model
Amazon Bedrock: PaidGoogle Vertex AI: Paid
API Access
Amazon Bedrock: AvailableGoogle Vertex AI: Available
Platforms
Amazon Bedrock: AWS Console, API, AWS SDKs, Amazon SageMaker integrationGoogle Vertex AI: Google Cloud Console, Python SDK, REST API, gcloud CLI
Integrations
Amazon Bedrock: 7 integrationsGoogle Vertex AI: 7 integrations
Vendor
Amazon Bedrock: Amazon Web ServicesGoogle Vertex AI: Google Cloud
Category
Amazon Bedrock: PlatformsGoogle Vertex AI: Platforms
Launch
Amazon Bedrock: Apr 13, 2023 (preview); Sep 28, 2023 (GA)Google Vertex AI: May 18, 2021 (Vertex AI launch)
Models
Amazon Bedrock: Anthropic Claude 4, Meta Llama 4Google Vertex AI: Gemini 2.5 Pro/Flash, Gemini 3.5 Flash

About Amazon Bedrock

Amazon Bedrock is a fully managed service from AWS that provides access to foundation models from Anthropic (Claude), Meta (Llama), Mistral, Cohere, Stability AI, Amazon Titan, and others via a single unified API. Enterprises use it to build and scale AI applications with AWS security, compliance, and cost management.

Designed For

  • Enterprise AI applications
  • RAG (knowledge bases)
  • Agents for task automation
  • Model evaluation
Full Amazon Bedrock details

About Google Vertex AI

Google Vertex AI is Google Cloud's end-to-end machine learning platform that unifies access to Gemini models, third-party models, AutoML, custom model training, MLOps, and AI infrastructure. It offers Vertex AI Agent Builder, Grounding with Google Search, model evaluation, and Vector Search for enterprise RAG applications.

Designed For

  • Enterprise AI pipelines
  • Custom model training
  • RAG applications
  • MLOps
Full Google Vertex AI details

Strengths & Limitations

Amazon Bedrock

Strengths

  • Access to Claude, Llama, Mistral, Titan in one API
  • AWS security & compliance
  • Managed infrastructure
  • Bedrock Agents for agentic workflows
  • Fine-tuning support

Limitations

  • Complex pricing
  • AWS lock-in risk
  • Steeper learning curve
  • Cost at scale

Google Vertex AI

Strengths

  • Access to all Gemini models
  • Grounding with Google Search
  • AutoML capabilities
  • Enterprise-grade security
  • Model Garden (150+ models)

Limitations

  • Google Cloud dependency
  • Complex pricing
  • Learning curve
  • Slower iteration vs OpenAI

Frequently Asked Questions

What is the difference between Amazon Bedrock and Google Vertex AI?

Amazon Bedrock is aws's managed service to build with frontier ai models from multiple providers, while Google Vertex AI is google cloud's unified ml platform for enterprise ai at scale. Amazon Bedrock is designed for Enterprise developers, AWS shops; Google Vertex AI is designed for Google Cloud enterprises, Data science teams. The right fit depends on your specific requirements.

How do the pricing models compare?

Amazon Bedrock is available under a Paid model. Google Vertex AI is available under a Paid model. Amazon Bedrock's entry tier starts at Per token (varies by model). Google Vertex AI's entry tier starts at Per token/compute hour. Always verify pricing on each vendor's official website as it may change.

What integrations does each tool support?

Amazon Bedrock integrates with AWS Lambda, Amazon S3, Amazon OpenSearch, AWS Step Functions. Google Vertex AI integrates with BigQuery, Cloud Storage, Kubernetes (GKE), Looker. Check each vendor's documentation for the full and current list.

How do I choose between Amazon Bedrock and Google Vertex AI?

Consider your team's technical requirements, budget, existing tooling, and use case before deciding. We recommend signing up for free trials or demos of both tools where available, and consulting each vendor's documentation. AIHub provides this comparison for informational purposes only.