Amazon Bedrock

Hundreds of foundation models, agents and guardrails behind one AWS API

Code & Dev Tools Usage_based Has API
Researched · Published · Reviewed
RECATOOLS Score
7.8 / 10
Founded
2023
HQ
Seattle, Washington, USA
Users
Tens of thousands of customers (2024)
Launched
Sep 2023
Developer
Amazon Web Services, Inc.

Overview

Amazon Bedrock is AWS's managed generative-AI service, offering models from Anthropic, OpenAI, Amazon Nova, Meta, Mistral, DeepSeek, Qwen and others through one API, with Knowledge Bases, Guardrails, fine-tuning and AgentCore for agents. Pay per token; available in Singapore, Jakarta, Malaysia and Thailand.

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Pricing

Pricing shown for reference only. These figures reflect RECATOOLS research as of 1 Oct 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.

No free tier
No Bedrock-only free tier. New AWS customers get up to $200 in credits ($100 at signup, up to $100 more) for up to 6 months; Bedrock is among eligible services

What you can produce with Amazon Bedrock

  • Unified API to hundreds of foundation models
  • Knowledge Bases for retrieval-augmented generation
  • Guardrails for content filtering
  • AgentCore for deploying and operating agents
  • Fine-tuning and model evaluation
  • Batch, Flex, Priority and Reserved service tiers
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RECATOOLS Verdict

Bedrock is the obvious choice for organisations already on AWS: one API and one bill for an unusually broad model catalogue — now including OpenAI as well as Anthropic and Amazon's Nova — with retrieval, guardrails and AgentCore for production agents, inside AWS's security and compliance framework and in four Southeast Asian regions. Token prices for major models match the providers' own on global endpoints, contrary to a common assumption, though regional endpoints and supporting services add cost. Choose it for governed, multi-model production workloads; small projects may find a single provider's API simpler.

Desk research by RECATOOLS from public sources, written with AI assistance — not a hands-on test. How we review

What we found

Amazon Bedrock is AWS's managed service for building generative-AI applications with foundation models from many providers through one API. Its catalogue covers hundreds of models from Amazon's own Nova family and from Anthropic, OpenAI — including GPT-5.5, GPT-5.4 and Codex since June 2026 and GPT-6 Astra since September — Meta, Mistral, Cohere, AI21, DeepSeek, Qwen, Google, xAI, Moonshot, MiniMax, NVIDIA, Writer, Stability, Luma and TwelveLabs. Around the models it adds Knowledge Bases for retrieval, Guardrails for filtering content, which AWS says can block up to 88% of harmful content, fine-tuning, model evaluation, and AgentCore, a platform for deploying and operating agents that has been generally available since October 2025; a managed-agents service powered by OpenAI is also listed. AWS says Bedrock does not store or use customer data to train models, and lists ISO, SOC, FedRAMP High and HIPAA eligibility.

Bedrock was previewed in April 2023 and became generally available that September. AWS says it serves more than 100,000 organisations, with customer stories including Robinhood, which scaled from 500 million to 5 billion tokens a day. It runs in AWS's Singapore, Jakarta, Malaysia and Thailand regions, and Singapore customers contract with Amazon Web Services Singapore.

Pricing is per token, with Standard, Flex, Priority and Reserved service tiers; batch and Flex are half price and Priority costs 75% more. In US East, Nova Micro costs $0.035 per million input tokens and $0.14 output, Nova Pro $0.80 and $3.20, and Claude Sonnet 5.5 $2 and $10 on global endpoints, the same as Anthropic's own API, with regional endpoints 10% higher; OpenAI models cost the same as buying directly. Singapore prices are slightly higher. There is no Bedrock-specific free tier, but new AWS customers get up to $200 of credits over six months that can be used on it. Services around it, such as the vector stores behind Knowledge Bases, carry their own costs.

G2 rates it 4.4 from 78 reviews. It suits teams on AWS who want many models behind one governed API.

Compiled by RECATOOLS from public sources: vendor documentation and pricing, code repositories and published reporting.

About this listing

Researched on
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Last reviewed

This entry was compiled from publicly available data including Amazon Bedrock's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Amazon Bedrock unless explicitly stated.

Data accuracy

Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.

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