Reflection AI Introduces Beam: A 501B Open-Weight MoE Model With 23B Active Parameters for Coding and Agentic Workloads

- Reflection AI dropped Beam, a 501B parameter MoE model that somehow uses only 23B active params. It’s efficient, fast, and claims to rival GLM-5.2 on reasoning while burning 3x less compute. The weights drop Apache 2.0 in October 2026—yes, years from now, because waiting is part of the "agentic" experience. Benchmarks show it crushing Nemotron 3 Ultra on SWE-bench. Is this useful for crypto agents? Absolutely. Less inference cost means more profit margins for on-chain bots. Stop hoarding GPU power like it’s physical gold; optimize your stack-eye efficiency instead. Where's my cut?