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Applied AI·October 16, 2026·1 min read

Reflection AI releases Apache 2.0-licensed weights for Beam, a 501B-parameter model, trained with RL that penalized unnecessary tokens

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An Apache 2.0, 501B-parameter model optimized to use fewer tokens is a direct shot at inference cost, not just capability. If you’re building on open models, start benchmarking not only quality but tokens-per-task—pricing power will accrue to whoever can compress output without losing accuracy.