Reflection AI introduces Beam: a 501B open-weight MoE with 23B active parameters, 1M context and Apache 2.0 weights coming this month
This story is from 2026-10-05. It is preserved in the archive; the latest stories are on the live feed.
Reflection AI just introduced Beam, its first open-weight model, built around "intelligence per token." It is a 501B sparse MoE with only 23B active parameters, a 1M effective context window, and Apache 2.0 weights coming later this month. The core innovation is high-compute, fully asynchronous RL.…
Read the full story at r/machinelearningnews ↗
Timeline · 1 report
- 2026-10-05 21:10 · r/machinelearningnews
Reflection AI introduces Beam: a 501B open-weight MoE with 23B active parameters, 1M context and Apache 2.0 weights coming this month