AWS managed service for building and scaling generative AI applications using foundation models from leading AI companies.
Amazon Bedrock is an AI Platform managed service that provides access to hundreds of foundation models from leading AI companies for building and scaling generative AI applications and agents in production, with pay-as-you-go pricing and up to $200 in AWS credits for new customers. It targets enterprises, startups, and developers who need production-grade infrastructure with enterprise security, compliance, and flexibility.
Used by more than 100,000 organizations worldwide across every industry, Amazon Bedrock unifies the core capabilities needed to move generative AI from prototype to production. The platform provides access to hundreds of foundation models from providers like Anthropic, Meta, Mistral, Cohere, Stability AI, and Amazon's own Nova models, along with evaluation tools to help teams select the best model for specific cost and performance needs. Customization features include Knowledge Bases for retrieval-augmented generation, Bedrock Data Automation, prompt engineering, and fine-tuning—allowing teams to move from generic AI to models that understand their specific business context without exposing sensitive data.
Bedrock's differentiator is its AgentCore platform, a composable suite for deploying agents securely at scale without infrastructure management. AgentCore includes Runtime for serverless deployment, Gateway for tool access, Memory for context retention, Identity for authentication, Browser and Code Interpreter capabilities, Observability for monitoring, Evaluations for quality scoring, and Policy for fine-grained control. Cost optimization features like Model Distillation deliver up to 500% faster inference and 75% cost reduction, while Intelligent Prompt Routing cuts costs by up to 30%. Bedrock Guardrails block up to 88% of harmful content and achieve up to 99% accuracy in identifying correct model responses via Automated Reasoning checks.
Compared to the other AI platforms in our directory, Amazon Bedrock stands out for enterprises already invested in AWS. Based on our analysis of 870+ AI tools, competitors like Google Vertex AI and Azure AI Foundry offer similar multi-model access, but Bedrock's tight integration with AWS IAM, VPC, CloudWatch, and compliance certifications (ISO, SOC, CSA STAR Level 2, GDPR, FedRAMP High, HIPAA-eligible) make it the default choice for regulated industries. Robinhood, for instance, scaled from 500 million to 5 billion daily tokens on Bedrock while cutting AI costs by 80%.
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Bedrock gives you one unified API to invoke hundreds of foundation models from Anthropic, Meta, Mistral, Cohere, Stability AI, AI21, and Amazon. This means you can swap models as new ones emerge or route different workloads to different models without rewriting application code, future-proofing your AI strategy.
AgentCore is a composable set of nine services—Runtime, Gateway, Memory, Identity, Browser, Code Interpreter, Observability, Evaluations, and Policy—for running agents securely at production scale. Services work together or independently, and agents can be built with any framework, so you are not locked into a specific agent SDK or orchestration tool.
Bedrock Guardrails block up to 88% of harmful content through configurable content filters, denied topics, and sensitive-information filters. Automated Reasoning checks use formal verification to confirm model responses are correct with up to 99% accuracy—a differentiating safety layer most competitors don't offer.
Knowledge Bases provide managed RAG over your proprietary data, automatically handling chunking, embeddings, and vector storage. Combined with Bedrock Data Automation for multimodal ingestion, prompt engineering tools, and managed fine-tuning, teams can adapt foundation models to business-specific context without exposing sensitive data to third-party providers.
Model Distillation trains smaller student models that run up to 500% faster and cost up to 75% less with minimal accuracy loss. Intelligent Prompt Routing automatically sends each prompt to the most cost-effective model that can handle it, cutting costs by up to 30%. Prompt caching and batch inference further reduce spend for recurring workloads.
$0.25 per 1M input tokens / $1.25 per 1M output tokens
$3.00 per 1M input tokens / $15.00 per 1M output tokens
$15.00 per 1M input tokens / $75.00 per 1M output tokens
$0.22 per 1M input tokens / $0.22 per 1M output tokens
$0.99 per 1M input tokens / $0.99 per 1M output tokens
$0.035 per 1M input tokens / $0.14 per 1M output tokens
$0.80 per 1M input tokens / $3.20 per 1M output tokens
$4.00 per 1M input tokens / $12.00 per 1M output tokens
Up to $200 in free AWS credits
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Amazon Bedrock AgentCore is positioned as the flagship 2025-2026 capability, offering a composable agentic platform (Runtime, Gateway, Memory, Identity, Browser, Code Interpreter, Observability, Evaluations, Policy) for deploying agents at production scale without infrastructure management. Customers like Epsilon are using AgentCore to compress agent development from months to weeks, and Bedrock now powers generative AI for more than 100,000 organizations worldwide. Automated Reasoning checks have matured to deliver up to 99% accuracy for identifying correct model responses, and Intelligent Prompt Routing and Model Distillation are highlighted as key cost-reduction features for 2026 workloads.
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