Amazon Bedrock AgentCoreEnterprise
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.
A serverless cloud for running AI and data workloads — define infrastructure in Python and get on-demand GPUs without managing servers.
| Amazon Bedrock AgentCore | Modal | |
|---|---|---|
| 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. | FreemiumUsage-based compute pricing with a recurring free credit allowance for getting started. |
| 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 | Engineering teams running GPU and batch AI jobsTeams doing fine-tuning and large-scale inferenceOrgs wanting infrastructure defined in code |
Modal is the lighter-weight option (Freemium), while Amazon Bedrock AgentCore sits higher on the pricing ladder (Enterprise). Amazon Bedrock AgentCore is built around enterprises already running on aws; Modal leans more toward engineering teams running gpu and batch ai jobs. Shortlist the one whose strengths line up with your biggest constraint.