Reflection's Beam aims to undercut Chinese open models with fewer tokens, not cheaper tokens — Live Feedhttps://www.live-feeds.com/feed/reflection-s-beam-aims-to-undercut-chinese-open-models-with-fewer-tokens-not-cheaper-tokensContinuously updated, source-cited coverage. Reflection releases Beam open-weight model to challenge Chinese AI efficiencyhttps://www.live-feeds.com/feed/reflection-s-beam-aims-to-undercut-chinese-open-models-with-fewer-tokens-not-cheaper-tokenshttps://www.live-feeds.com/feed/reflection-s-beam-aims-to-undercut-chinese-open-models-with-fewer-tokens-not-cheaper-tokens#u140919Tue, 20 Oct 2026 21:47:03 +0000Reflection has released Beam, an open-weight model designed for agentic coding on AWS. Unlike competitors that compete on cost per token, Beam focuses on token efficiency, aiming to complete tasks using fewer total tokens to undercut Chinese open models. The model is available under an Apache 2.0 license and is accessible via Ollama. While Reflection claims higher efficiency, these estimates exclude prompt-reading work and do not necessarily translate to direct deployment savings.Why it mattersWestern open-weight models have struggled to outperform Chinese alternatives in the global market. Th