Introducing Reflection Beam: an open-weight model for agentic coding on AWS

Amazon Web Services · 3 days ago · 48 ● 3 sources

Reflection AI launched Beam, an open-weight sparse Mixture-of-Experts model for agentic coding and long-horizon software tasks. Beam has 501 billion total parameters, with 23 billion active parameters per forward pass. The release adds new options to deploy Beam on AWS—using SageMaker JumpStart or Kubernetes-native SageMaker HyperPod Inference—and to choose BF16, FP8, or NVFP4 checkpoint formats with corresponding memory and scaling tradeoffs.