Beam: Reflection's 501B open-weight model(reflection.ai)
549 points by Philpax 8 days ago | 174 comments
tl;dr: Reflection is releasing Beam, a 501B-parameter (23B active) open-weight Mixture-of-Experts model targeted at coding, reasoning, and agentic tasks, pretrained on 23.8T tokens and trained with large-scale RL (100M+ rollouts on 10.5K GB300 GPUs over 4 weeks). It claims competitive performance with larger open models like GLM 5.2 while using 3–4× less inference compute, with weights to be released under Apache 2.0 later this month.
HN Discussion:
  • ↓Model is bigger yet underperforms smaller Chinese open-weight competitors like DeepSeek
  • ~Welcomes Western entry into open-weight race despite lagging Chinese labs
  • •Questions who Reflection is as a company, emphasizing organizational trust over benchmarks
  • ↓Announcing without releasing weights is a marketing miss that loses mindshare
  • ↑Insider enthusiasm and technical detail-sharing about the training process