GPT-6 Astra from OpenAI is generally available on Amazon Bedrock

OpenAI's GPT-6 Astra is now generally available on Amazon Bedrock, bringing the company's latest and most capable model to the Amazon Bedrock inference engine built for high performance, security, and scale. Organizations can call the model directly through the Amazon Bedrock APIs or configure ChatGPT Work and Codex to use GPT-6 Astra on Amazon Bedrock. As part of this launch, OpenAI is also introducing new enterprise plugins for ChatGPT Work that extend Astra's browser-use capabilities across common business applications. Organizations are already running AI agents that write code, analyze data, and automate complex workflows at production scale on Amazon Bedrock, and GPT-6 Astra raises the potential of what those agents can deliver. GPT-6 Astra applies deeper reasoning and sharper judgment to complex business decisions, works across software and files, and produces professional-quality output aligned with organizational voice, templates, and standards. When performing financial analysis, it can help reconcile conflicting data sources and identify discrepancies that could change a recommendation. During contract review, it can review hundreds of pages within a context window of up to 1 million input tokens and identify provisions that carry the greatest risk. Across a codebase, it can investigate problems across a large codebase, reason through dependencies, and carry a fix from diagnosis through testing. GPT-6 Astra also advances computer and browser use, allowing it to work across applications and continue workflows directly through software interfaces when an API or connector is unavailable. For workflows that reuse the same context across requests, such as recurring document review, codebase analysis, or agents grounded in company standards, GPT-6 Astra supports both implicit and explicit prompt caching. With explicit caching, users can set cache breakpoints to control which context is cached. Reusing that context in subsequent requests helps reduce repeated processing, cost, and latency. Model-level safeguards work alongside the security and governance controls of Amazon Bedrock. OpenAI evaluated GPT-6 Astra through its Preparedness Framework, which assesses model capabilities across safety-relevant domains and applies progressively stronger safeguards as those capabilities advance. It is the first OpenAI model to reach the Critical classification for cybersecurity capability. At this level, automated safeguards monitor misuse in real time. Established AWS controls help organizations secure workloads, govern access, and audit model invocation activity.