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Reflection AI Introduces Beam: A 501B Open-Weight MoE Model With 23B Active Parameters for Coding and Agentic Workloads

Reflection AI has introduced Beam, its first open-weight model. It is a 501B sparse Mixture-of-Experts model with 23B active parameters, built for coding and agentic work. Reflection says it matches GLM-5.2 on reasoning with 3 to 4x less inference compute. Apache 2.0 weights are due later in Octobe…

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Timeline · 2 reports

  1. 2026-10-05 21:10 · r/machinelearningnews
    Reflection AI introduces Beam: a 501B open-weight MoE with 23B active parameters, 1M context and Apache 2.0 weights coming this month
  2. 2026-10-05 21:04 · MarkTechPost
    Reflection AI Introduces Beam: A 501B Open-Weight MoE Model With 23B Active Parameters for Coding and Agentic Workloads

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