AI Reports · Amazon · 2026-10-16 · Blog / commentary
Introducing Reflection Beam: an open-weight model for agentic coding on AWS
This post shows how to deploy Reflection AI's open-weight Beam model on AWS, either through a fully managed Amazon SageMaker JumpStart real-time endpoint or through SageMaker HyperPod Inference for Kubernetes-native control. Beam is a sparse mixture-of-experts model with 501 billion total parameters and 23 billion active parameters, and Reflection reports an effective context length of 1 million tokens. At launch it is available in SageMaker JumpStart in US East (N. Virginia) and US East (Ohio).