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Context window1000K tokens

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Beammajor

Reflection AI debuts Beam, its first frontier open-weight model: a text-only 501B-parameter MoE with 23B active parameters and a 1M token context window. The company claims reasoning performance on par with GLM-5.2 at 3-4x less inference compute, which is unverified.

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model release

Reflection AI unveils Beam: 501B-parameter open-weight MoE with 1M-token context

Reflection AI has unveiled Beam, a text-only mixture-of-experts model with 501 billion total parameters, 23 billion active, and a 1 million token context window. The company claims it matches Z.ai's GLM-5.2 on advanced reasoning benchmarks while using 3-4x less inference compute. Weights and the full technical report are due later this month.

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