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.
One control point for the actions agents take in real systems — user-scoped auth, 8,000+ permission-aware tools, and an audit trail per action.
| Amazon Bedrock | Arcade.dev | |
|---|---|---|
| Pricing | PaidUsage-based pricing (per token, or provisioned throughput). Billed through AWS. | FreemiumFree $0/month with 2,000 auth events and 2,000 tool calls, community support, no credit card. Team $25/month plus usage at $0.10 per auth event and $0.01 per tool call, with next-business-day email support. Enterprise is custom with annual bundles, cloud, VPC or air-gapped deployment, SSO, RBAC, audit logs, private registry access, and 24/7 SLA. Priced by what agents do, not per seat. |
| Category | AI Infrastructure | AI Infrastructure |
| Ideal for | Enterprises already standardized on AWSTeams needing models inside their cloud security perimeterRegulated organizations with strict compliance needs | Platform teams putting agents into production against real SaaS systemsSecurity teams that have blocked an agent project over service-account accessCompanies building internal agents on Salesforce, Google Workspace, or SlackTeams standing up MCP servers who need auth and audit around them |
Arcade.dev is the lighter-weight option (Freemium), while Amazon Bedrock sits higher on the pricing ladder (Paid). Amazon Bedrock is built around enterprises already standardized on aws; Arcade.dev leans more toward platform teams putting agents into production against real saas systems. Shortlist the one whose strengths line up with your biggest constraint.
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