Reflection AI 发布 Beam：501B 参数 MoE 开源模型，主打编程与智能体
Reflection AI Introduces Beam: A 501B Open-Weight MoE Model With 23B Active Parameters for Coding and Agentic Workloads
Reflection AI 放出了首个开源模型 Beam，501B 只激活 23B，官方说打平 GLM-5.2 还省 3-4 倍算力，做编程和智能体的可以关注权重发布。
Reflection AI 推出首个开源权重模型 Beam，总参数 501B、激活参数仅 23B 的稀疏 MoE 架构，面向编程与智能体任务。官方称其推理表现可与 GLM-5.2 匹敌，但推理计算量只有后者的 1/3 到 1/4。模型权重按 Apache 2.0 协议，计划在 2026 年 10 月内放出。
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 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 .
