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

AWS Machine Learning Blog · Oct 16, 2026 · Product Launches

Reflection AI launches Beam, a 501B-parameter open-weight agentic coding model on AWS

Reflection AI has released Beam, an open-weight sparse mixture-of-experts model with 501B total and 23B active parameters, targeting agentic coding and long-horizon software engineering tasks. The model ships under Apache 2.0 via Hugging Face and is deployable on AWS SageMaker JumpStart and HyperPod Inference. While notable as a large open-weight coding model, the announcement is primarily a deployment tutorial and lacks benchmark data or competitive positioning details.

open-weight agentic-coding aws mixture-of-experts sagemaker

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