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Reflection has announced Beam: a 501B-parameter model with 23B active, with full weights scheduled for release this month. Frontier capabilities, and holy is this model efficient! Trained from scratch, Beam targets coding, reasoning and agentic tasks. Reflection claims 3–4x higher inference efficiency than GLM 5.2 and over 4x higher efficiency than leading Western open models in its class. 24T pretraining tokens in four weeks, followed by four weeks of reinforcement learning on 10,500 GB300s. Terminal Bench v2.1 and 80.9 on SWE-bench Verified. But again: look at the efficency, eypecially in Terminal bench v2.1! Congrats on that launch. More western open models to come.