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.
A search API built for AI agents rather than humans — structured outputs, token-efficient highlights, and sub-200ms responses.
| Amazon Bedrock | Exa | |
|---|---|---|
| Pricing | PaidUsage-based pricing (per token, or provisioned throughput). Billed through AWS. | FreemiumFree trial via the dashboard; usage-based pricing published on the pricing page rather than the homepage. |
| Category | AI Infrastructure | AI Infrastructure |
| Ideal for | Enterprises already standardized on AWSTeams needing models inside their cloud security perimeterRegulated organizations with strict compliance needs | Teams building research and enrichment agentsDevelopers replacing scrape-and-parse pipelinesCoding agents needing current documentationAnyone paying too many tokens for web content |
Exa 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; Exa leans more toward teams building research and enrichment agents. Shortlist the one whose strengths line up with your biggest constraint.
Get one AI workflow a week showing AI Infrastructure in a real stack — what they cost, and where each one breaks.