AWS's fully managed service for accessing foundation models from multiple providers, with agents, guardrails, and knowledge bases built in.
AI Infrastructure comparison
Pricing, pros, cons, and ideal use cases — side by side.
AWS's fully managed service for accessing foundation models from multiple providers, with agents, guardrails, and knowledge bases built in.
AWS framework-agnostic runtime for deploying, securing, evaluating, and governing production agents at scale.
| Amazon Bedrock | Amazon Bedrock AgentCore | |
|---|---|---|
| Pricing | PaidUsage-based pricing (per token, or provisioned throughput). Billed through AWS. | 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. |
| Category | AI Infrastructure | AI Infrastructure |
| Ideal for | Enterprises already standardized on AWSTeams needing models inside their cloud security perimeterRegulated organizations with strict compliance needs | Enterprises already running on AWSPlatform teams standardizing an agent runtimeOrganizations needing session isolation and policy enforcementTeams moving agent prototypes into governed production |
Amazon Bedrock is the lighter-weight option (Paid), while Amazon Bedrock AgentCore sits higher on the pricing ladder (Enterprise). Amazon Bedrock is built around enterprises already standardized on aws; Amazon Bedrock AgentCore leans more toward enterprises already running on aws. Shortlist the one whose strengths line up with your biggest constraint.
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