Introducing cross-Region inference for OpenAI GPT-5.6 models on Amazon Bedrock
Machine Learning Blog
Amazon Bedrock now offers OpenAI GPT-5.6 models with cross-Region inference (CRIS) capabilities, enabling requests to be routed across multiple AWS Regions for improved capacity and performance.
- Three GPT-5.6 variants (Sol, Terra, Luna) support geographic and global inference profiles for flexible routing
- Geographic profiles keep processing within specific geographies (e.g., US); global profiles route across all supported commercial AWS Regions
- Models accept text and image inputs, support 1 million token context window, reasoning mode, tool calling, and prompt caching
- Compatible with OpenAI Responses API, Chat Completions API, and Amazon Bedrock Converse API with streaming support
- Billing, quotas, and logging remain in source Region regardless of destination Region processing
- IAM policies control access to inference profiles with separate permissions for geographic and global routing
- Prompt caching reduces costs and latency by reusing cached prefixes across requests
- Output tokens consume quota at 10x burndown rate; cache read tokens don't count toward TPM quotas
GPT-5.6 on Amazon Bedrock enables scalable AI inference with flexible geographic constraints and unified billing across multiple AWS Regions.
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