Last updated 08-14-2026
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Amazon Bedrock
Amazon Bedrock lets AWS customers build generative AI applications and agents in production by calling foundation models from Anthropic, Meta, Mistral, Amazon Nova, OpenAI, and dozens of other providers through one API. Teams layer on knowledge bases, guardrails, evaluation tools, and AgentCore to ship assistants without managing GPU infrastructure.
Unlike calling model APIs directly, Bedrock bundles model choice, RAG knowledge bases, safety guardrails, and cost controls like intelligent prompt routing and batch inference at 50% off on-demand rates. Distilled models can run up to 500% faster at 75% lower cost, which matters when you are serving regulated workloads that also need FedRAMP High and HIPAA eligibility on the same stack.
More than 100,000 organizations use it for copywriting, virtual assistants, document summarization, image generation, and workflow agents. Robinhood cited an 80% AI cost reduction after scaling token usage from 500 million to 5 billion daily on Bedrock. New AWS accounts can start with up to $200 in credits before paying per-token model rates.
Access to foundation models from Anthropic, Meta, Mistral, Amazon Nova, OpenAI, and more through one API
Batch inference pricing runs 50% lower than on-demand rates for select models
Claude 3.5 Sonnet on-demand costs $6 per 1M input tokens and $30 per 1M output tokens in US regions
Bedrock Guardrails can block up to 88% of harmful content with automated reasoning checks
Intelligent Prompt Routing can cut inference costs by up to 30% while maintaining quality
AgentCore lets teams build, connect, and optimize agents with any framework and no infrastructure management
New AWS customers receive up to $200 in credits to try Bedrock and other AWS AI services
Single AWS platform spans model APIs, RAG knowledge bases, guardrails, and agent tooling
Model choice across Anthropic, Meta, Amazon, OpenAI, and more reduces vendor lock-in
Batch inference and prompt routing provide meaningful cost levers at scale
Compliance coverage includes ISO, SOC, GDPR, FedRAMP High, and HIPAA eligibility
AgentCore removes infrastructure management for production agent deployments
Per-token pricing varies widely by model and region, requiring careful cost monitoring
Provisioned throughput and some advanced tiers need sales conversations rather than self-serve signup
Full value assumes existing AWS familiarity and IAM policy management
What is Amazon Bedrock?
Amazon Bedrock is an AWS service for building generative AI applications and agents using foundation models from multiple providers. It includes model APIs, knowledge bases, guardrails, evaluation tools, and AgentCore for production deployments.
How does Amazon Bedrock pricing work?
Amazon Bedrock charges primarily per model token for on-demand inference, with separate rates for input and output tokens that vary by provider and region. Batch inference costs 50% less than on-demand for eligible models, and provisioned throughput uses custom hourly commitments.
Which models are on Amazon Bedrock?
Amazon Bedrock hosts models from Anthropic Claude, Meta Llama, Mistral, Amazon Nova and Titan, OpenAI, Cohere, Stability AI, DeepSeek, Google Gemma, and others. The pricing page lists per-token rates for each provider and region.
Does Amazon Bedrock include safety features?
Yes. Amazon Bedrock Guardrails filter harmful content and support automated reasoning checks that identify correct responses with up to 99% accuracy. AWS states Bedrock does not use customer data to train models and encrypts data in transit and at rest.
Can I build agents on Amazon Bedrock?
Yes. Amazon Bedrock AgentCore is an end-to-end platform to build, connect, and optimize agents using any framework and model. Bedrock Agents also let assistants break down tasks, analyze multimodal inputs, and take actions to fulfill requests.
Is there a free way to try Amazon Bedrock?
Amazon Bedrock offers new AWS customers up to $200 in credits to try Bedrock and other AI services. The Bedrock pricing page also links to a get-started-for-free path before on-demand token charges apply.