Reflection AI unveils Beam, a 501B open-weight MoE model
Read original source →reflection.ai
Beam is a sparse MoE with 501B total and 23B active parameters, trained from scratch on 23.8T tokens in under four weeks on 6,144 NVIDIA GB300 GPUs. Reflection claims 80.9 on SWE-bench Verified and 3-4x the inference efficiency of GLM 5.2; full Apache 2.0 weights are due this month.
How this story unfolded
1 day · 4 reports · 7 community posts · 11 of 12 shown
- Oct 5
Reflection debuts Beam, an open-weight AI model to rival Chinese models at lower compute costtechcrunch.com
Nvidia-Backed Reflection Unveils Open AI Model, Taking on Chinabloomberg.com
Reflection AI Introduces Beam: A 501B Open-Weight MoE Model With 23B Active Parameters for Coding and Agentic Workloadsmarktechpost.com
- Oct 6
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