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

Reflection AI introduced Beam, its first open-weight model, a 501B sparse Mixture-of-Experts model with 23B active parameters built for coding and agentic workloads. Reflection AI says Beam matches GLM-5.2 on reasoning using 3 to 4x less inference compute, with Apache 2.0 weights due later in October 2026.

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 https://www.marktechpost.com/2026/10/05/reflection-ai-introduces-beam-a-501b-open-weight-moe-model-with-23b-active-parameters-for-coding-and-agentic-workloads/ appeared first on MarkTechPost https://www.marktechpost.com .