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
Amazon Bedrock vs LiteLLM
Pricing, pros, cons, and ideal use cases — side by side.
LiteLLMFreemium
An open-source LLM gateway that gives you one consistent API and proxy across 100+ model providers, with key management and spend tracking.
At a glance
| Amazon Bedrock | LiteLLM | |
|---|---|---|
| Pricing | PaidUsage-based pricing (per token, or provisioned throughput). Billed through AWS. | FreemiumOpen-source and free to self-host. A paid enterprise edition adds SSO, audit logs, and support. |
| 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 using multiple model providersPlatform teams centralizing LLM access and spendEnterprises wanting provider portability |
Pros & cons
Amazon Bedrock
Pros
- Multiple model providers through one managed service
- Stays inside AWS security, IAM, and compliance
- Managed RAG, agents, and guardrails included
- Familiar billing and governance for AWS shops
Cons
- Ties your AI stack to AWS
- Features can lag native provider platforms
- Pricing and quota management add complexity
LiteLLM
Pros
- One consistent API across 100+ providers
- Proxy adds key management, budgets, and spend logging
- Avoids provider lock-in
- Lightweight to adopt
Cons
- Self-hosting the proxy is your operational burden
- A gateway is one more hop to monitor
- Advanced governance features are in the paid edition
Which should you choose?
LiteLLM 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; LiteLLM leans more toward teams using multiple model providers. Shortlist the one whose strengths line up with your biggest constraint.