Amazon Bedrock
Amazon Web Services
PaidGoogle Vertex AI
Google Cloud
PaidAmazon 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.
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
PaidAPI Access
Amazon Bedrock
AvailableGoogle Vertex AI
AvailablePlatforms
Amazon Bedrock
AWS Console, API, AWS SDKs, Amazon SageMaker integrationGoogle Vertex AI
Google Cloud Console, Python SDK, REST API, gcloud CLIIntegrations
Amazon Bedrock
7 integrationsGoogle Vertex AI
7 integrationsVendor
Amazon Bedrock
Amazon Web ServicesGoogle Vertex AI
Google CloudCategory
Amazon Bedrock
PlatformsGoogle Vertex AI
PlatformsLaunch
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| Feature | Amazon Bedrock | Google Vertex AI |
|---|---|---|
| Pricing Model | Paid | Paid |
| API Access | Available | Available |
| Platforms | AWS Console, API, AWS SDKs, Amazon SageMaker integration | Google Cloud Console, Python SDK, REST API, gcloud CLI |
| Integrations | 7 integrations | 7 integrations |
| Vendor | Amazon Web Services | Google Cloud |
| Category | Platforms | Platforms |
| Launch | Apr 13, 2023 (preview); Sep 28, 2023 (GA) | May 18, 2021 (Vertex AI launch) |
| Models | Anthropic Claude 4, Meta Llama 4 | 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
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
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.
Feature Snapshot
Explore Further
Amazon Bedrock full detailsGoogle Vertex AI full detailsAmazon Bedrock official siteGoogle Vertex AI official siteRelated Comparisons
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Data sourced from public vendor documentation. Pricing, features, and availability may change. Always verify on official vendor websites before making purchasing decisions. AIHub is not affiliated with any of the listed vendors.