Reflection AI releases Beam, a 501B open-weight MoE model for coding
Original titleReflection AI Introduces Beam: A 501B Open-Weight MoE Model With 23B Active Parameters for Coding and Agentic Workloads
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Summary
Reflection AI introduced Beam, a 501-billion-parameter sparse mixture-of-experts model with 23 billion active parameters, built for coding and agentic work. The company says it matches GLM-5.2 on reasoning with 3 to 4 times less inference compute, with Apache 2.0 weights coming in October 2026.
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Original excerpt
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 October 2026. The post Reflection AI Introduces Beam: A 501B Open-Weight MoE Model With 23B Active Parameters for Coding and Agentic Workloads appeared first on MarkTechPost.