Amazon Bedrock AgentCoreEnterprise
AWS framework-agnostic runtime for deploying, securing, evaluating, and governing production agents at scale.
AI Infrastructure comparison
Amazon Bedrock AgentCore vs Google Vertex AI
Pricing, pros, cons, and ideal use cases — side by side.
Google Vertex AIPaid
Google Cloud's unified AI platform — access to Gemini and partner models, plus tools to build, deploy, and govern AI and agents.
At a glance
| Amazon Bedrock AgentCore | Google Vertex AI | |
|---|---|---|
| Pricing | EnterpriseConsumption-based AWS pricing across the AgentCore services, billed alongside the rest of your AWS spend. Model inference is billed separately through Bedrock or your chosen provider. | PaidUsage-based pricing across model and platform services, billed through Google Cloud. |
| Category | AI Infrastructure | AI Infrastructure |
| Ideal for | Enterprises already running on AWSPlatform teams standardizing an agent runtimeOrganizations needing session isolation and policy enforcementTeams moving agent prototypes into governed production | Enterprises already on Google CloudTeams wanting Gemini under enterprise governanceOrganizations consolidating the AI lifecycle on one platform |
Pros & cons
Amazon Bedrock AgentCore
Pros
- Framework-agnostic — keep LangGraph, CrewAI, or a custom loop
- Managed identity, memory, gateway, and observability primitives
- Evaluations and Harness cover both production monitoring and pre-production testing
- Policy controls give security teams enforceable guardrails
- Inherits AWS compliance and regional footprint
Cons
- Only sensible if you are already committed to AWS
- Consumption pricing across several services is hard to forecast up front
- Component-by-component GA rollout means capability varies by region
- Steeper learning curve than a hosted agent platform
Google Vertex AI
Pros
- Gemini plus a broad Model Garden
- End-to-end build, deploy, evaluate, and govern
- Inside Google Cloud IAM and compliance
- Strong data and analytics integration
Cons
- Large, complex platform surface area
- Most valuable only if you are already on GCP
- Getting value requires real platform investment
Which should you choose?
Google Vertex AI is the lighter-weight option (Paid), while Amazon Bedrock AgentCore sits higher on the pricing ladder (Enterprise). Amazon Bedrock AgentCore is built around enterprises already running on aws; Google Vertex AI leans more toward enterprises already on google cloud. Shortlist the one whose strengths line up with your biggest constraint.