Amazon Bedrock
Fully managed service to build and scale generative AI applications with foundation models from leading AI providers
40+
Foundation Models
8
Model Providers
20+
AWS Regions
Overview
Amazon Bedrock is AWS's fully managed service for building generative AI applications using foundation models (FMs) from leading AI companies. It provides a single API to access models from Anthropic (Claude), Meta (Llama), Mistral AI, Cohere, AI21 Labs, Stability AI, and Amazon's own Titan models. Bedrock eliminates the need to manage infrastructure, offering serverless deployment with enterprise-grade security, VPC connectivity, and seamless integration with the AWS ecosystem including S3, Lambda, and SageMaker.
The Verdict
Who Should Use Amazon Bedrock?
Best For
- AWS-native enterprises needing AI integration
- Teams requiring multi-model access via single API
- Regulated industries needing compliance (HIPAA, SOC)
- High-volume production workloads
- Organizations with existing AWS infrastructure
Not Ideal For
- Quick prototypes (OpenAI API simpler)
- Non-AWS shops (vendor lock-in)
- Budget-conscious startups (AWS pricing complexity)
- Single-model use cases (direct API cheaper)
What's Great
- Access to 40+ models from 8 providers via single API
- True serverless - no infrastructure to manage
- Private model customization with your data
- Enterprise security with VPC endpoints and IAM
- Guardrails for responsible AI deployment
- Agents for autonomous multi-step workflows
- Knowledge Bases for RAG without custom code
Watch Out For
- Complex pricing across models and modes
- Regional availability varies by model
- AWS ecosystem lock-in
- Some models lag behind direct API versions
- Provisioned throughput requires commitment
Pricing
On-Demand
Pay-per-token
No commitment, pay for what you use
Provisioned
Reserved capacity
Guaranteed throughput, up to 50% savings
Batch Inference
50% discount
Async processing for large jobs
Model Distillation
Custom
Train smaller models from larger ones
View all features & details
Available Models
- Anthropic Claude 3.5 Sonnet, Opus, Haiku
- Meta Llama 3.1 (8B, 70B, 405B)
- Mistral Large, Mixtral, Small
- Cohere Command R, R+, Embed
- AI21 Jamba, Jurassic-2
- Stability SDXL, SD3
- Amazon Titan Text, Embeddings, Image
Key Features
- Bedrock Agents - autonomous workflows
- Knowledge Bases - managed RAG
- Guardrails - content filtering
- Model Evaluation - benchmark testing
- Fine-tuning - custom model training
- Continued Pre-training - domain adaptation
- Prompt Management - version control
Enterprise Features
- VPC PrivateLink endpoints
- IAM fine-grained access control
- CloudWatch monitoring & logging
- AWS CloudTrail auditing
- Data encryption at rest and in transit
- Cross-region inference
Compliance
- SOC 1, 2, 3
- ISO 27001, 27017, 27018
- HIPAA eligible
- PCI DSS
- FedRAMP (select regions)
- GDPR compliant
Model Pricing Examples
Claude 3.5 Sonnet (On-Demand)
- Input: $3.00 / 1M tokens
- Output: $15.00 / 1M tokens
- 200K context window
Llama 3.1 70B (On-Demand)
- Input: $0.99 / 1M tokens
- Output: $0.99 / 1M tokens
- 128K context window
Amazon Titan Text Express
- Input: $0.20 / 1M tokens
- Output: $0.60 / 1M tokens
- 8K context window
Mistral Large (On-Demand)
- Input: $4.00 / 1M tokens
- Output: $12.00 / 1M tokens
- 128K context window
How It Compares
| Feature | Amazon Bedrock | Azure AI Foundry | Google Vertex AI |
|---|---|---|---|
| Model Providers | 8 providers, 40+ models | 5 providers, 30+ models | 4 providers, 20+ models |
| Serverless | Fully serverless | Partially managed | Partially managed |
| Claude Access | Latest versions | No | Yes |
| Llama Access | Yes | Yes | Yes |
| Native RAG | Knowledge Bases | Azure AI Search | Vertex AI Search |
| Agents | Bedrock Agents | Copilot Studio | Vertex AI Agent Builder |
| Fine-tuning | Yes | Yes | Yes |
| Guardrails | Built-in | Content Safety | Responsible AI |
| Enterprise SSO | IAM + SSO | Azure AD | Google Workspace |
| Best For | AWS enterprises | Microsoft shops | GCP/Google shops |
User Reviews
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