AWS Bedrock Adds Cross-Region Inference for OpenAI's GPT-5.6 Models

Amazon Bedrock now supports cross-Region inference (CRIS) for OpenAI's GPT-5.6 models, according to a joint post from AWS and OpenAI's Chris Dickens. The feature is live across more than 25 AWS Regions and applies to three GPT-5.6 variants — Sol, Terra, and Luna — each described as offering a different balance of capability and cost.

What cross-Region inference does

CRIS is a capacity and routing mechanism, not a new model. It works through inference profiles — logical identifiers passed in place of a raw model ID — that tell Bedrock which Regions can handle a given request. Two profile types are now available for GPT-5.6:

• Geographic inference profile (e.g., us.openai.gpt-5.6-terra): routes requests only within a defined geography, such as the US and Canada, keeping data processing inside that boundary for residency-sensitive workloads.
• Global inference profile (e.g., global.openai.gpt-5.6-terra): routes requests to any supported commercial AWS Region where the model is deployed, based on real-time capacity, offering the largest available compute pool.

AWS states that billing and quota consumption are tracked against the calling account regardless of which backend Region actually processes the request, so customers see a single spending and throughput view. The company notes that global CRIS may route data across Regions in the model's eligible set, and recommends geographic profiles or direct single-Region calls for workloads with strict data residency requirements.

Model specs and access

All three GPT-5.6 variants covered by this launch — Sol, Terra, and Luna — accept text and image input, return text, and support a 1 million token context window, according to AWS. They also support reasoning mode, server-side tool calling, and prompt caching. A separate cybersecurity-specialized variant of GPT-5.6 exists but is not covered by this cross-Region inference update.

The models can be called through the OpenAI Responses API, the OpenAI Chat Completions API, or the Amazon Bedrock Converse API, with streaming supported via stream=True on the OpenAI-compatible endpoints and via ConverseStream on Bedrock's native API. AWS says existing OpenAI SDK clients can point at Bedrock's OpenAI-compatible endpoint and swap in the geographic or global inference profile ID as the model parameter, using either standard AWS credentials or a short-term Bedrock API key generated via the aws-bedrock-token-generator package.

US source Regions (N. Virginia, Ohio, Oregon, N. California, Canada Central, Canada West) route within a US/Canada geographic pool. The global profile spans source Regions across the US, Canada, Europe, Asia Pacific, the Middle East, and South America, routing to any supported commercial Region worldwide.

Pricing for GPT-5.6 on Bedrock was not disclosed in this announcement.

What this means

This is an infrastructure and availability update, not a new model launch — GPT-5.6 itself is not introduced here, only its routing options on Bedrock. The practical value is capacity resilience: enterprises running high-volume inference no longer need to provision against a single Region's throughput ceiling, and can choose between strict data-residency compliance (geographic profiles) and maximum capacity (global profiles). This mirrors AWS's existing cross-Region inference pattern already used for other foundation models on Bedrock, extending it to OpenAI's GPT-5.6 family as part of the broader OpenAI-on-Bedrock partnership. For teams already running OpenAI SDK-based applications, the migration path — swapping a model ID for an inference profile ID — is deliberately low-friction.