Amazon Bedrock has expanded its model offerings with the addition of Qwen 3 foundation models enabling users to access and deploy them in a fully managed, serverless environment. These models feature both mixture-of-experts (MoE) and dense architectures to support diverse use cases including advanced code generation, multi-tool business automation, and cost-optimized AI reasoning.

Amazon Bedrock has expanded its model offerings with the addition of Qwen 3 foundation models enabling users to access and deploy them in a fully managed, serverless environment. These models feature both mixture-of-experts (MoE) and dense architectures to support diverse use cases including advanced code generation, multi-tool business automation, and cost-optimized AI reasoning.

OpenAI frontier models GPT-5.5 and GPT-5.4, and Codex, the OpenAI coding agent, are now generally available on Amazon Bedrock. Deploy frontier models on Bedrock's high performance inference engine with built-in security, governance, and pay-per-token pricing.

AWS launches DeepSeek-V3.1 as a fully managed models in Amazon Bedrock. DeepSeek-V3.1 is a hybrid open weight model that switches between thinking mode for detailed step-by-step analysis and non-thinking mode for faster responses.

AWS launches DeepSeek-V3.1 as a fully managed models in Amazon Bedrock. DeepSeek-V3.1 is a hybrid open weight model that switches between thinking mode for detailed step-by-step analysis and non-thinking mode for faster responses.

Amazon Web Services announces Claude Sonnet 4.5 in Amazon Bedrock, featuring advanced capabilities in coding, tool handling, and long-horizon tasks, with improvements in memory management, context processing, and industry-specific applications across finance, research, and cybersecurity sectors.

Organizational safeguards are now generally available in Amazon Bedrock Guardrails, enabling centralized enforcement and management of safety controls across multiple AWS accounts within an AWS Organization.

AWS continues to expand access to the most advanced foundation models with OpenAI open weight models now available in Amazon Bedrock and Amazon SageMaker JumpStart. Accessing these new models from OpenAI on AWS, gpt-oss-120b and gpt-oss-20b, gives you more freedom to innovate and choose the right model for your specific use cases while maintaining complete control over your infrastructure and data.

TwelveLabs video understanding models are now available on Amazon Bedrock and enable customers to search through videos, classify scenes, summarize content, and extract insights with precision and reliability.

Amazon Bedrock enhances generative AI data analysis with multimodal processing, graph modeling, and structured querying, accelerating AI application development.

Amazon Bedrock has updated prompt caching for Anthropic’s Claude models to improve ease of use for Claude 3.5 Haiku, Claude 3.7, and Claude 4 models. Previously, developers needed to manage cache points manually and keep track of which cached segments should be reused. With simplified cache management, you only need to set a cache breakpoint at the end of your request. The system automatically reads from the longest previously cached prefix, which eliminates the need to manually specify which segments to reuse and reduces the effort required to manage cache logic. By automatically identifying and applying the right cached content, simplified cache management not only helps reduce manual effort, but also helps free up more tokens since cache read tokens are not counted toward your token per minute (TPM) quotas. This can make it easier to build multi-turn workflows and research assistants, while improving both performance and cost efficiency. Simplified cache management is available today in all regions where Anthropic Claude 3.5 Haiku, Claude 3.7, and Claude 4 models are offered on Amazon Bedrock. To get started, review the Amazon Bedrock Developer Guide and enable caching in your model invocations.

Discover, test, and use over 100 emerging, and specialized foundation models with the tooling, security, and governance provided by Amazon Bedrock.

Route requests and cache frequently used context in prompts to reduce latency and balance performance with cost efficiency.

Anthropic's Claude 3.7 Sonnet hybrid reasoning model, their most intelligent model to date, is now available in Amazon Bedrock. Claude 3.7 Sonnet represents a significant advancement in AI capabilities, offering both quick responses and extended, step-by-step thinking made visible to the user. This new model includes strong improvements in coding and brings enhanced performance across various tasks, like instruction following, math, and physics. Claude 3.7 Sonnet introduces a unique approach to AI reasoning by integrating it seamlessly with other capabilities. Unlike traditional models that separate quick responses from those requiring deeper thought, Claude 3.7 Sonnet allows users to toggle between standard and extended thinking modes. In standard mode, it functions as an upgraded version of Claude 3.5 Sonnet. While in extended thinking mode, it employs self-reflection to achieve improved results across a wide range of tasks. Amazon Bedrock users can adjust how long the model thinks, offering a flexible trade-off between speed and answer quality. Additionally, users can control the reasoning budget by specifying a token limit, enabling more precise management of cost. Anthropic has optimized Claude 3.7 Sonnet for real-world applications that align closely with typical language model use cases, rather than focusing solely on math and computer science competition problems. This approach ensures that the model is well-suited to address the diverse needs of customers across various industries and use cases. Claude 3.7 Sonnet is now available in Amazon Bedrock in the US East (N. Virginia), US East (Ohio), and US West (Oregon) regions. To get started, visit the Amazon Bedrock console. Integrate it into your applications using the Amazon Bedrock API or SDK. For more information and to learn more read the AWS News Blog and Claude in Bedrock product detail page.

Amazon Bedrock AgentCore enables rapid deployment and scaling of AI agents with enterprise-grade security. It provides memory management, identity controls, and tool integration—streamlining development while working with any open-source framework and foundation model.

Unifying data silos, Amazon SageMaker Lakehouse seamlessly integrates S3 data lakes and Redshift warehouses, enabling unified analytics and AI/ML on a single data copy through open Apache Iceberg APIs and fine-grained access controls.

AWS launches Claude Opus 4.7 in Amazon Bedrock, Anthropic's most intelligent Opus model for advancing performance across coding, long-running agents, and professional work. Claude Opus 4.7 is powered by Amazon Bedrock's next generation inference engine, purpose-built for generative AI inferencing and fine-tuning workloads.

AWS introduces Web Search on Amazon Bedrock AgentCore, a fully managed tool that enables agents to ground responses in current, cited web knowledge with zero data egress from customer's secured AWS environment. You can focus on building agents instead of manually adding web search to agents on Bedrock AgentCore and managing its infrastructure.

DeepSeek-R1, a powerful large language model featuring reinforcement learning and chain-of-thought capabilities, is now available for deployment through Amazon SageMaker JumpStart and Amazon Bedrock Marketplace, enabling users to build and scale their generative AI applications with minimal infrastructure investment to meet diverse business needs.

Amazon Web Services announces Claude Sonnet 4.5 in Amazon Bedrock, featuring advanced capabilities in coding, tool handling, and long-horizon tasks, with improvements in memory management, context processing, and industry-specific applications across finance, research, and cybersecurity sectors.

Starting today, PartyRock is supporting improved app discovery using search, making it even easier to explore and build with generative AI. In addition, a new and improved daily free usage model will replace the current free trial grant in 2025 to further empower everyone to build AI apps on PartyRock with daily recurring free use. Previously, AWS offered new PartyRock users a free trial for a limited time, but starting in 2025 you can access and experiment with PartyRock apps, without the worry of exhausting the free trial credits through a free daily use grant. Since its launch in November 2023, more than a half million apps have been created by PartyRock users. Until now, discovering those apps required link or playlist sharing, or browsing featured apps on the PartyRock Discover page. Users can now use the search bar on the homepage to explore all publicly published PartyRock apps. Discover how you can build apps to help improve your everyday individual productivity and experiment with these new features by trying https://partyrock.aws/ today. To learn more, read our https://aws.amazon.com/blogs/aws/introducing-new-partyrock-capabilities-and-free-daily-usage/.  

Amazon Nova Multimodal Embeddings is a new state-of-the-art embedding model available in Amazon Bedrock. It is the industry’s first embedding model that supports text, documents, images, video, and audio through a single unified model, enabling cross-modal retrieval and semantic search applications with leading accuracy, at industry-leading costs.

Amazon FSx for Lustre Intelligent-Tiering storage class provides cost-effective, virtually unlimited elastic file storage for ML and HPC workloads that automatically optimizes costs by tiering data based on access frequency.

My most exciting news of last week: Amazon Bedrock AgentCore previewed the first managed payment capabilities enabling AI agents to autonomously access and pay for APIs, MCP servers, web content, and other agents. Built in partnership with Coinbase and Stripe, it removes the undifferentiated heavy lifting of building customized systems for billing, credential management, and […]

AWS continues to expand access to the most advanced foundation models with OpenAI open weight models now available in Amazon Bedrock and Amazon SageMaker JumpStart. Accessing these new models from OpenAI on AWS, gpt-oss-120b and gpt-oss-20b, gives you more freedom to innovate and choose the right model for your specific use cases while maintaining complete control over your infrastructure and data.