Amazon BedrockPaid
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.