Reflection 发布开源模型 Beam：501B 参数、23B 激活，主打推理效率
Very good to see more competent labs training open-weight models. This Reflection's new Beam model...
Reflection 放了个 501B 的开源模型 Beam，激活只有 23B，跑智能体省算力，号称效率比 GLM 5.2 高 3-4 倍，权重本月放出。
Reflection AI 推出开源权重模型 Beam，总参数 501B、每步激活 23B。官方称其推理效率比 GLM 5.2 等对手高 3-4 倍，适合长时间运行的智能体任务。Beam 在编程与智能体基准上推进了西方开源模型的水平，完整权重将于本月内发布。
Very good to see more competent labs training open-weight models. This Reflection's new Beam model...
Very good to see more competent labs training open-weight models. This Reflection's new Beam model seems to have strong reasoning efficiency, which I think is a big deal for long-running agents. 3-4x better inference efficiency than rivals like GLM 5.2, positioning it as a strong Western open-weight option. Reflection @reflection_ai Introducing Beam: a highly efficient agentic open model with 501B total parameters and 23B active. - Frontier reasoning efficiency - Advances the Western open frontier on coding & agentic tasks - Trained end-to-end from scratch Full weights release this month. Learn more about Beam: reflection.ai/beam 🔗 View Quoted Tweet 💬 2 🔄 4 ❤️ 7 👀 1394 📊 3 ⚡
