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.
Isolated sandboxes where an AI agent can run the code it just wrote without touching anything you care about.
| Amazon Bedrock AgentCore | E2B | |
|---|---|---|
| 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. | FreemiumHobby is free with $100 one-time usage credits, community support, sessions up to 1 hour, and 20 concurrent sandboxes; no credit card required. Pro is $150/month with customisable sandbox CPU and RAM, sessions up to 24 hours, and 100 concurrent sandboxes, expandable by purchase to 1,100. Enterprise is custom. Compute is billed per second on vCPU, RAM, and storage on top of the plan fee. |
| 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 | Teams shipping code-interpreter or data-analysis agent featuresAI product companies that must isolate customer-triggered code executionPlatform engineers building internal agent runtimesAnyone letting an LLM run generated code against real data |
E2B 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; E2B leans more toward teams shipping code-interpreter or data-analysis agent features. Shortlist the one whose strengths line up with your biggest constraint.
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