AWS framework-agnostic runtime for deploying, securing, evaluating, and governing production agents at scale.
AI Infrastructure comparison
Pricing, pros, cons, and ideal use cases — side by side.
AWS framework-agnostic runtime for deploying, securing, evaluating, and governing production agents at scale.
Google Cloud's unified AI platform — access to Gemini and partner models, plus tools to build, deploy, and govern AI and agents.
| Amazon Bedrock AgentCore | Gemini Enterprise Agent Platform (formerly 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 |
Gemini Enterprise Agent Platform (formerly 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; Gemini Enterprise Agent Platform (formerly Vertex AI) leans more toward enterprises already on google cloud. Shortlist the one whose strengths line up with your biggest constraint.
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