What is Bedrock?
Amazon Bedrock is a managed cloud service that provides unified API access to foundation models from multiple providers through a single AWS endpoint.
As of 2026 the catalog includes over 40 models spanning Anthropic's Claude family, Meta's Llama 4, Mistral Large, Amazon's own Nova series, and models from Cohere, AI21 Labs, and Stability AI.
Developers send a request to one API and can swap the underlying model without rewriting application code, which makes it practical to benchmark or shift models as the market changes.
The platform is built for developers and engineering teams already running workloads on AWS who want to add generative AI without provisioning separate infrastructure. Bedrock handles scaling, availability, and security at the infrastructure level.
Key capabilities beyond raw model access include Knowledge Bases for retrieval-augmented generation, Agents for multi-step task orchestration, Guardrails for applying content filters and safety policies, and Data Automation for turning unstructured documents and video into structured outputs for downstream processing.
Compared to Azure OpenAI and Google Vertex AI, the two main alternatives, Bedrock's primary differentiator is model diversity. Azure OpenAI gives the deepest access to OpenAI's models including GPT under enterprise SLAs and integrates tightly with Microsoft's compliance and identity stack.
Vertex AI is strongest for teams already running analytics workloads on Google Cloud, with native access to Gemini and a mature MLOps surface.
Bedrock is the default choice when the team is AWS-native and needs flexibility to switch between frontier models from different providers rather than committing to a single lab's output.
Key Features
✓Unified Api Access To 40 Plus Foundation Models From Eight Providers
✓Knowledge Bases For Retrieval-Augmented Generation Over Private Documents
✓Agents For Orchestrating Multi-Step Ai Workflows Across Tools And Apis
✓Guardrails For Applying Content Filters And Responsible Ai Policies
✓Data Automation For Processing Unstructured Documents And Video Into Structured Data
✓Batch Inference Mode At 50 Percent Off On-Demand Token Rates
✓Vpc Endpoint Support And Iam Integration For Enterprise Security Requirements
✓Provisioned Throughput For Guaranteed Capacity On High-Volume Production Workloads
Who is Bedrock for?
→AWS-native development teams adding generative AI to applications
→Engineers who need to evaluate and switch between multiple foundation models
→Enterprises building RAG pipelines with Knowledge Bases on AWS
→Teams running multi-step AI agent workflows in existing AWS infrastructure
→Organizations requiring enterprise compliance and data residency on AWS
Frequently Asked Questions
What is Amazon Bedrock and what models does it support?
Amazon Bedrock is a managed AWS service that provides API access to over 40 foundation models from Anthropic, Meta, Mistral, Amazon, Cohere, AI21 Labs, and Stability AI through a single endpoint. As of 2026 the catalog includes Claude 4 Sonnet and Opus, Llama 4 Maverick and Scout, Mistral Large 3, and Amazon's Nova series. Developers can switch models without changing application code.
Amazon Bedrock vs Azure OpenAI which is better for enterprise AI development?
Azure OpenAI is the better choice for teams that specifically need OpenAI models under enterprise SLAs, or that are already running workloads in the Microsoft ecosystem with existing Azure compliance and identity tooling. Amazon Bedrock is the better fit for AWS-native teams that want model flexibility across multiple providers rather than committing to OpenAI alone. Neither accesses the other's exclusive models.
How much does Amazon Bedrock cost per month?
Amazon Bedrock charges per token with no subscription fee or minimum spend. Rates vary by model: Nova Micro starts at $0.035 per million input tokens, Claude Sonnet runs around $3 per million input tokens. Batch inference mode offers 50 percent off on-demand rates. Provisioned throughput is available at a fixed hourly rate for teams with predictable, high-volume workloads.
Is Amazon Bedrock worth it if you can use the Anthropic API directly?
If Claude is the only model you need and your team is not on AWS, using the Anthropic API directly is simpler and has no AWS dependency. Bedrock becomes worth it when you want to run Claude alongside other models from the same API, leverage AWS infrastructure like VPC endpoints and IAM for access control, or use Bedrock-specific features like Knowledge Bases, Agents, and Guardrails that are not available through the direct Anthropic API.
How do I get started with Amazon Bedrock on AWS?
You need an AWS account with Bedrock access enabled in your target region. Model access is not automatic: you request access to each model family in the Bedrock console, and most are approved instantly. From there you call the InvokeModel API directly or use the AWS SDKs for Python (boto3), JavaScript, Java, or Go. AWS provides starter notebooks for Knowledge Bases and Agents in the Bedrock console for common use case patterns.
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