Reflection AI debuts Beam, a 501B open-weight model that matches GLM 5.2 with less compute
AI-summarised brief · reviewed before publication
Reflection AI unveiled Beam on October 5, 2026, a 501‑billion‑parameter open‑weight model that the company claims matches the reasoning performance of Z.ai’s GLM‑5.2 while using three to four times less inference compute. Beam employs a Mixture‑of‑Experts architecture that activates 23 billion parameters per pass, was pretrained on 23.8 trillion tokens and fine‑tuned with reinforcement learning across 10,500 NVIDIA GB300 GPUs for four weeks, producing over 100 million rollouts. The model’s total size places it among the largest publicly released AI systems, and its efficiency is said to approach Qwen 3.8‑Max on coding and agentic tasks. Reflection AI, backed by Nvidia, will release the weights under an Apache 2.0 license later this month, positioning Beam as a Western counterweight to rapidly advancing Chinese open models.
💡 Why It Matters
- · Beam offers enterprises a high‑performance, cost‑effective alternative to proprietary APIs, enabling on‑premise deployment without licensing constraints.
