Amazon Bedrock Enhances Efficiency with Batch Inference for Claude Sonnet 4 and GPT-OSS Models
Seattle, WA – August 18, 2025 – Amazon Web Services (AWS) today announced a significant advancement for Amazon Bedrock, its fully managed service that offers access to leading Foundation Models (FMs) through a single API. The platform now provides support for batch inference capabilities for Anthropic’s Claude Sonnet 4 and OpenAI’s GPT-OSS models, marking a substantial step towards optimizing cost and performance for customers processing large volumes of data.
This new feature empowers developers and businesses to streamline their machine learning workflows by enabling them to send multiple inference requests simultaneously rather than individually. This approach can lead to considerable improvements in throughput and a reduction in the overall cost of operations, particularly for use cases involving text generation, summarization, translation, and content analysis at scale.
Previously, users of Amazon Bedrock would typically submit inference requests one by one. While effective for real-time or individual tasks, this method could become inefficient and resource-intensive when dealing with thousands or millions of data points. The introduction of batch inference directly addresses this challenge, allowing customers to bundle multiple prompts into a single request, which is then processed by the chosen foundation model. The service then returns the results for all submitted prompts in a consolidated manner.
The inclusion of batch inference support for both Anthropic Claude Sonnet 4 and OpenAI’s GPT-OSS models underscores Amazon Bedrock’s commitment to offering a flexible and powerful platform that caters to a diverse range of AI and machine learning needs. Claude Sonnet 4 is recognized for its strong performance in complex reasoning and nuanced understanding, while OpenAI’s GPT-OSS models are widely adopted for their versatility and broad applicability across numerous language-based tasks. By enabling batch processing for these highly capable models, AWS is further democratizing access to advanced AI, making it more accessible and cost-effective for a wider array of applications.
This enhancement is particularly beneficial for industries that rely heavily on processing large datasets, such as customer service, where summarizing vast amounts of customer feedback is crucial; content creation, where generating multiple marketing copy variations or blog post drafts is common; and data analysis, where extracting insights from extensive text documents is a primary objective. By leveraging batch inference, organizations can significantly accelerate their AI-powered initiatives and derive value from their data more rapidly.
AWS continues to invest in expanding the capabilities of Amazon Bedrock, aiming to provide customers with the tools and flexibility needed to build and scale sophisticated AI applications. The addition of batch inference for these leading models is a testament to this ongoing effort, reinforcing Amazon Bedrock’s position as a premier choice for accessing and deploying powerful foundation models. Customers can now integrate these new capabilities into their existing workflows to unlock greater efficiency and cost savings.
Amazon Bedrock now supports Batch inference for Anthropic Claude Sonnet 4 and OpenAI GPT-OSS models
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