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 cloud platform for fast, cost-efficient inference and fine-tuning of open-weight models at production scale.
| Amazon Bedrock AgentCore | Together 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 per-token pricing. Dedicated endpoints and fine-tuning are priced separately. |
| 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 running open-weight models in productionCost-sensitive, high-volume inference workloadsEnterprises fine-tuning private model variants |
Together 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; Together AI leans more toward teams running open-weight models in production. Shortlist the one whose strengths line up with your biggest constraint.