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 in India, including in financial services, healthcare, and the public sector, you can now use these OpenAI models at scale. Amazon Bedrock processes inference requests and data within India.

Both models offer a 1-million-token context window, accept text and image input, and produce text output. Your applications can process long documents, large code bases, and mixed text-and-image workloads in a single request. The processing never leaves the country.

In this post, we walk through how India geographic cross-Region inference works from the Mumbai and Hyderabad Regions. We also show how to get started from the Amazon Bedrock console and with code, using the OpenAI Responses API, OpenAI Chat Completions API, and the Amazon Bedrock Converse API.

India geographic cross-Region inference

Cross-Region inference automatically routes inference requests across multiple AWS Regions to help improve throughput, without you having to manage capacity in each Region yourself. It’s primarily a capacity mechanism. Instead of being bound to one Region’s capacity, your requests draw on a broader pool of compute. That helps you maintain throughput and consistent performance under load, which matters most during traffic peaks.