产品简介
Amazon Bedrock 是 AWS 推出的完全托管的生成式 AI 基础平台,核心定位是"一个 API 调用多家基础模型"。目前已集成 Anthropic Claude Opus 4.8 / Sonnet 5、Meta Llama、Mistral、Cohere、Stability AI,以及 AWS 自研的 Amazon Nova 系列模型(含 Nova Pro/Lite/Micro/Canvas/Reel),是企业用 AWS 生态构建 AI 应用的官方入口。
2026 年 Bedrock 的模型阵容进一步扩容:OpenAI GPT-5.6 系列(Sol、Terra、Luna)已上线,其中 GPT-6.1 Sol 于 2026/9/29 正式可用(GA),面向编码、计算机操作与高频专业工作负载提供更强推理;GPT-5.6 系列支持跨区域推理,覆盖 25 个以上 AWS Region,并针对印度、澳大利亚等地区提供本地化推理选项(2026/8/20、2026/8/27、2026/9/2)。
相比 OpenAI API,Bedrock 的差异化在于 多模型 + 企业级治理:Bedrock Agents(构建 Agent 工作流)、Knowledge Bases(托管 RAG)、Guardrails(内容安全 + PII 过滤)、Bedrock Studio(低代码开发)、Model Evaluation(模型评估)、Fine-tuning(微调)全部原生集成。数据不出 AWS 账户、VPC 私有网络、IAM 精细权限、SOC/HIPAA/FedRAMP 合规等能力是其在 Fortune 500 中被广泛采购的核心理由。
平台能力也在持续向 Agent 生产化演进:Amazon Bedrock AgentCore 成为承载生产级 Agent 的运行时,支持从 ECS/Fargate、LangGraph 等自管环境迁移多模型 Agent 工作负载(2026/9/3、2026/9/18),并提供系统提示词优化(2026/9/16)、工具访问治理(2026/8/21)与 Web Search 的域名及发布日期过滤(2026/8/19);Managed Knowledge Base 与 AgentCore 结合可构建可观测的企业级 Agentic 检索(2026/8/31)。
核心功能
- 多家基础模型:Claude Opus 4.8 / Sonnet 5、Llama、Mistral、Cohere、Stability、Amazon Nova,以及 OpenAI GPT-5.6(Sol/Terra/Luna)与 GPT-6.1 Sol 等统一接入
- Bedrock Agents:原生构建多步骤 Agent 工作流,自动编排函数调用与外部 API
- Bedrock AgentCore:生产级 Agent 运行时,支持从 ECS/Fargate、LangGraph 等自管环境迁移多模型 Agent,并提供系统提示词优化、工具访问治理与 Web Search 域名/发布日期过滤
- Knowledge Bases(托管 RAG):连接 S3 / Aurora / OpenSearch 自动向量化检索,开箱即用 RAG;Managed Knowledge Base 可与 AgentCore 组合构建可观测的企业级 Agentic 检索
- Guardrails 安全护栏:内容过滤、PII 脱敏、主题拦截、幻觉检测,企业级合规必备
- Model Evaluation:支持自动与人工评估,对不同模型在业务任务上的表现做横向对比
- 私有网络 + IAM:支持 VPC 端点、PrivateLink,数据不出 AWS 账户,IAM 精细权限
- Fine-tuning / 持续预训练:用企业私有数据微调或继续预训练模型,权重仍归客户所有
适合谁用
以下类型的用户会特别受益于 Amazon Bedrock:
- Fortune 500 / 金融 / 医疗等强合规行业的 AI 应用基座
- 需要统一一套 API 调用多家模型、避免绑定单一供应商的团队
- 原本就重度使用 AWS 生态(S3/Lambda/SageMaker)的企业
- 需要 Agent + RAG + Guardrails 端到端能力的生产级场景
- 有 PII、HIPAA、FedRAMP、数据主权要求的项目
- 需要本地化数据处理的区域团队(如印度、澳大利亚)
- 把自管 Agent 迁移到托管运行时、追求生产可观测性的团队
优点亮点
- 多模型统一接入,切换成本极低
- 企业级治理能力(Guardrails / IAM / VPC / Audit)行业最完备
- Amazon Nova 系列提供高性价比自家模型
- OpenAI GPT-5.6 与 GPT-6.1 Sol 上线,模型阵容进一步扩容
- AgentCore 提供生产级 Agent 运行时与迁移路径
- 与 S3 / Lambda / SageMaker / Aurora 深度集成
- 合规资质全面(SOC 2、HIPAA、FedRAMP、PCI DSS)
- 模型权重与数据完全留在客户 AWS 账户
价格与方案
按模型按 token 计费,无固定订阅。参考价格:Claude Opus 4.8 输入约 $15/M、输出约 $75/M;Claude Sonnet 5 输入 $2-3/M、输出 $10-15/M;Llama 系列 $0.20-$3/M;Amazon Nova Micro 最低输入 $0.035/M、输出 $0.14/M。另计 Knowledge Bases 检索费、Guardrails 调用费、Fine-tuning 训练费。AWS Free Tier 提供部分免费额度。规模化场景下可结合 IAM Customer Managed Policies 等机制做按用户实时成本管控(2026/9/1)。
总结与建议
Amazon Bedrock 是企业级 AI 应用的"正规军入口"——统一的多模型 API + 最完整的治理能力 + AWS 生态,让它成为 Fortune 500 落地生成式 AI 的首选。随着 OpenAI GPT-5.6 系列(Sol、Terra、Luna)与 GPT-6.1 Sol 陆续上线,以及 AgentCore 把 Agent 从笔记本推向生产运行时,Bedrock 的模型广度与生产化能力在 2026 年进一步拉开。若你在 AWS 上做 AI 应用,Bedrock 几乎是默认选择;独立开发者与创业团队可先从 OpenAI API / OpenRouter 起步,有合规诉求再切到 Bedrock。
版本演进
- Anchor Browser 与 AgentCore:构建可自主为受 x402 保护资源付费的智能体 (2026-10-13):AWS 生成式 AI 创新中心的 Partner Agent Factory 与 Anchor Browser 展示了如何在 Amazon Bedrock AgentCore 上构建智能体,让它访问受 x402 协议保护的网络资源与 API 时自主完成付款,无需人工介入。
- ICYMI: What landed for AI builders in September 2026 (2026-10-09):A monthly recap of the latest Amazon Bedrock, Amazon Bedrock AgentCore, and Strands updates from September 2026: broader model choice, faster serverless agents with built-in evaluation, and automated
- Rethinking access control for RAG with Amazon Quick and Amaz (2026-10-07):Enterprise RAG unlocks insights from knowledge sources like SharePoint, Google Drive, and Confluence, but those sources carry complex permissions. Learn how Amazon Quick and Amazon Bedrock Knowledge B
- Building a context-aware AI assistant on AgentCore and OpenC (2026-10-06):Off-the-shelf AI assistants forget you between conversations. This post shows how to build a personal assistant that accumulates context using OpenClaw on Amazon Bedrock AgentCore runtime, with AgentC
- Making Amazon Quick enterprise-ready: Automated, auditable c (2026-10-05):Promoting Amazon Quick resources (agents, action connectors, knowledge bases, flows, and spaces) from a development to a production AWS account has been a manual, error-prone chore. This post shows ho
- Bring near-Astra intelligence to everyday work with GPT-6.1 (2026-09-29):GPT-6.1 Sol is now generally available on Amazon Bedrock, bringing stronger reasoning to coding, computer use, and professional workloads that run frequently.
- Migrating multi-model AI agents to Amazon Bedrock AgentCore (2026-09-18):Migrate a multi-model healthcare AI agent from self-managed Amazon ECS with AWS Fargate to Amazon Bedrock AgentCore runtime, preserving triple-model orchestration and vector-enhanced knowledge retriev
- Optimizing agent system prompts with Amazon Bedrock AgentCor (2026-09-16):AgentCore optimization turns production traces into proposed configuration changes, then validates them before promotion. This technical companion to the launch post explains how the system prompt opt
- Migrate agentic workloads to Amazon Bedrock AgentCore (2026-09-03):An agent that works in a notebook is not an agent in production. This post walks through migrating a LangGraph customer support agent to Amazon Bedrock AgentCore in two stages: onto Runtime, Gateway,
- Accessing OpenAI models on Amazon Bedrock from Australia wit (2026-09-02):Australian teams can now access OpenAI GPT-5.6 Sol, Terra, and Luna models on Amazon Bedrock with global cross-Region inference from the Asia Pacific (Sydney) and Asia Pacific (Melbourne) Regions. Thi
- Tokenomics at scale: How Jamf built real-time spend enforcem (2026-09-01):As generative AI adoption scales, cost governance becomes a top challenge. Learn how Jamf built real-time, per-user spend enforcement for Amazon Bedrock using IAM Customer Managed Policies, an Amazon
- Build observable enterprise agentic retrieval using Managed (2026-08-31):This post builds an enterprise agentic retrieval solution on the Amazon Bedrock Managed Knowledge Base and Amazon Bedrock AgentCore. An agent reasons, routes across multiple knowledge bases, and retur
- Introducing OpenAI models on Amazon Bedrock for in-country i (2026-08-27):Amazon Bedrock now supports the OpenAI GPT-5.6 models, Terra and Luna, in India with India geographic cross-Region inference. If you have local data processing requirements, you can now use these mode
- Natera’s intelligent appointment scheduling with Amazon Bedr (2026-08-26):Learn how Natera built an automated voice agent on Amazon Bedrock AgentCore that lets patients book mobile phlebotomy appointments through natural conversation. The post covers the dual-WebSocket brid
- Democratizing institutional knowledge: Building an AI-powere (2026-08-24):Learn how to build a customizable, smart-caching knowledge management system on AWS that captures and delivers institutional (tribal) knowledge through a voice-first AI avatar. The accelerator uses Am
- Govern AI agent tool access with Amazon Bedrock AgentCore Ga (2026-08-21):Give your AI agents governed, auditable access to enterprise tools without consolidating infrastructure. This post walks through a four-scope maturity model (Connect, Control, Catalog, and Harden) for
- Introducing cross-Region inference for OpenAI GPT-5.6 models (2026-08-20):Amazon Bedrock now offers OpenAI GPT-5.6 models (Sol, Terra, and Luna) in more than 25 AWS Regions with cross-Region inference. Learn how US geographic and global inference profiles route requests for
- Domain and publish date filters for Web Search on AgentCore (2026-08-19):Web Search on Amazon Bedrock AgentCore now supports runtime domain and published-date filtering. New per-request filters give developers per-call control over which web sources their agents consult an