Amazon BedrockPaid
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.
Turns any website into clean, structured markdown or JSON for AI pipelines — scrape, crawl, map, and search with published per-credit pricing.
| Amazon Bedrock | Firecrawl | |
|---|---|---|
| Pricing | PaidUsage-based pricing (per token, or provisioned throughput). Billed through AWS. | FreemiumFree 1,000 credits/month. Hobby $16/mo for 5,000. Standard $83/mo for 100,000 with 50 concurrent requests. Growth $333/mo for 500,000. Scale $599/mo for 1,000,000. Enterprise custom. Prices billed yearly. Scrape, crawl, map, and monitor cost 1 credit per page; search costs 2 credits per 10 results. |
| 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 competitor and market monitoring workflowsLead enrichment and research pipelinesRAG ingestion from public web sourcesDevelopers replacing brittle in-house scrapers |
Firecrawl 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; Firecrawl leans more toward teams building competitor and market monitoring workflows. Shortlist the one whose strengths line up with your biggest constraint.