Introducing cross-Region inference for OpenAI GPT-5.6 models on Amazon Bedrock

This post is co-written with Chris Dickens from OpenAI.

Amazon Bedrock now offers OpenAI GPT-5.6 models on Amazon Bedrock in more than 25 AWS Regions, with cross-Region inference. Three GPT-5.6 variants support cross-Region inference, Sol, Terra, and Luna, each tuned for a different balance of capability and cost.

Cross-Region inference (CRIS) in Amazon Bedrock works through inference profiles, which define a model and the AWS Regions to which Amazon Bedrock can route a request. You call the profile from a source Region, and Amazon Bedrock routes the request to a destination Region using compute in that Region. CRIS is primarily a capacity mechanism. By allowing requests to draw on a broader pool of compute rather than being bound to one Region’s available capacity, it improves throughput and helps maintain consistent performance under load. A geographic inference profile routes requests within a single geography, so you can scale while keeping data processed within that geography. For GPT-5.6, this launch introduces US geographic (US cross-Region inference) and global CRIS. A global inference profile routes across all supported AWS commercial Regions where the model is deployed, based on real-time capacity, giving you broad access to Amazon Bedrock capacity.