Reflection Beam: 501‑B Parameter Open‑Weight Sparse Mixture‑of‑Experts Model for Agentic Coding on AWS
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Reflection AI has announced Reflection Beam, a 501‑B parameter sparse mixture‑of‑experts model that is open‑weight and ready for deployment on AWS. The model is specifically engineered for agentic coding tasks and multi‑step workflows, enabling developers to maintain code, invoke tools, explain results, and complete complex, long‑duration programming tasks. By providing an open‑weight architecture, Reflection Beam allows developers to use, fine‑tune, or extend the model directly within the AWS ecosystem, offering a scalable solution for continuous interaction and multi‑tool collaboration in sophisticated coding scenarios.
Written with AI from the reporting · updated 10/16/2026
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New at this step ·Reflection AI Launches Open-Weight Beam Model for AWS Coding
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- AWS Machine Learning Blog · First-partyReflection AI Launches Open-Weight Beam Model for AWS CodingOriginal source ↗
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1 developments10/17/2026, 12:01:45 AM
Reflection AI Launches Open-Weight Beam Model for AWS CodingAWS Machine Learning Blog
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- 1Oct 17, 00:01single sourcereport-time only
Introducing Reflection Beam: an open-weight model for agenti
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- AWS Machine Learning Blog · Oct 16, 23:23Reflection AI Launches Open-Weight Beam Model for AWS Coding
Reflection AI has released Beam, an open-weight model designed for agentic coding and long-horizon tasks on AWS, with 501 billion parameters. The model is available on Amazon SageMaker JumpStart and supports multi-step coding tasks.
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- AWS Machine Learning BlogSelectedReflection AI Launches Open-Weight Beam Model for AWS Coding
Reflection AI has released Beam, an open-weight model designed for agentic coding and long-horizon tasks on AWS, with 501 billion parameters. The model is available on Amazon SageMaker JumpStart and supports multi-step coding tasks.