AINewsnow

501B Stored, 23B Awake: Reflection's Beam and the Efficiency Turn in the Open-Weight Race

One-line: Reflection AI — a two-year-old Brooklyn startup with ~$4.7B raised and zero public models — just unveiled Beam : a 501B-parameter text-only MoE that wakes 23B per token , claims parity with Z.ai's GLM-5.2 at 3–4x less inference compute, and ships Apache 2.0 weights this month. On October…

Read the full story at DEV Community — Machine Learning ↗

Timeline · 1 report

  1. 2026-10-06 16:05 · DEV Community — Machine Learning
    501B Stored, 23B Awake: Reflection's Beam and the Efficiency Turn in the Open-Weight Race

More stories

  1. Introducing GLM 5.3 on Amazon Bedrock — AWS Machine Learning Blog
  2. Reflection AI Introduces Beam: A 501B Open-Weight MoE Model With 23B Active Parameters for Coding and Agentic Workloads — MarkTechPost
  3. A benchmark for LLMs playing Civilization V. GLM-5.3 is ahead of Opus-5.5, and Qwen-3.8-27B holds up surprisingly well. — r/LocalLLaMA
  4. We’re using GLM-5.3 Flash instead of frontier models on a massive production codebase — r/LocalLLaMA
  5. Can an Open Model Do Security Research? Cantina's apex-flash-1 Solves 40 of 60 Held-Out Bug Tasks — MarkTechPost
  6. GLM-4.7 benchmark compared MXFP4 vs Q4_K_M vs Q4_K_XL using Radeon 6800H iGPU 680M — r/LocalLLaMA
  7. Fully local little parkour sim — r/LocalLLaMA
  8. Anthropic Subscriptions Offer 5x+ More Value Than OpenAI — SemiAnalysis

Get the daily brief of stories like this at 6:30 every morning →