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Large Language ModelsAmazon AI BlogPublished: Aug 28, 2026, 04:00 JST2 min read

OpenAI GPT-5.6 on Bedrock now keeps data in India

OpenAI GPT-5.6 on Bedrock now keeps data in India

Key takeaway

  • Amazon Bedrock now offers OpenAI GPT-5.6 models in India, keeping data within the country.

  • Financial services, healthcare, and the public sector can use these models at scale.

  • Both models support a 1-million-token context window and text-image input.

3 Key Points

  1. What happened

    Amazon Bedrock now supports OpenAI GPT-5.6 models Terra and Luna in India, with India geographic cross-Region inference. Requests route only between the Mumbai and Hyderabad Regions, so processing stays within the country.

  2. Why it matters

    This lets organizations with local data processing requirements, such as financial services, healthcare, and the public sector, use these OpenAI models at scale without data leaving India. Both models offer a 1-million-token context window and accept text and image input, enabling processing of long documents and large code bases in a single request.

  3. What to watch

    India geographic inference profiles (in.openai.gpt-5.6-terra and in.openai.gpt-5.6-luna) keep inference within India. Prompt caching with these profiles offers a 90 percent discount on cached reads compared to uncached input tokens, and cached prefixes stay warm for at least 30 minutes.

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Context & Analysis

This announcement extends Amazon Bedrock's OpenAI GPT-5.6 model support to India with a geographic data-residency boundary. Previously, cross-Region inference for these models could route requests globally; now, organizations with strict local processing requirements can use the India profiles to keep inference within the country, routing only between the Mumbai and Hyderabad Regions. The move is particularly relevant for regulated industries like financial services and healthcare, where data sovereignty is a compliance concern.

Technically, the India geographic profiles work through inference profiles, which Amazon Bedrock uses to define routing constraints. Calls to these profiles track billing and quota against the source Region, and CloudWatch and CloudTrail logs also stay in the source Region, simplifying monitoring. Notably, the models support a 1-million-token context window and multimodal input, enabling complex workloads like invoice extraction or long-document processing without leaving the country.

For developers, Amazon Bedrock supports both OpenAI-compatible APIs (Responses and Chat Completions) and the Bedrock-native Converse API. Prompt caching, available under the India profiles, offers a 90 percent discount on cached reads and keeps cached prefixes warm for at least 30 minutes, which could reduce costs for RAG and agent workloads that repeat context. This combination of data residency, API flexibility, and cost-saving features may encourage more enterprise adoption of these models within India, though the actual business impact will depend on how organizations weigh performance against compliance requirements.

FAQ

What are the India geographic inference profile IDs?
The two profile IDs are in.openai.gpt-5.6-terra for GPT-5.6 Terra and in.openai.gpt-5.6-luna for GPT-5.6 Luna.
Can I use existing OpenAI SDK code to call these models?
Yes, you can point your OpenAI SDK client at the Amazon Bedrock endpoint in either India Region and pass the profile ID as the model parameter. Authentication can use standard AWS credentials or an Amazon Bedrock API key.
How can I control reasoning depth?
Set the optional reasoning parameter, for example reasoning={"effort": "low"}. Supported effort levels are none, low, medium, high, xhigh, and max.
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