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Oct 5, 2026

Reflection AI unveils Beam open-weight model to compete with Chinese AI

Nvidia-backed Reflection AI debuted Beam, a 501B parameter sparse MoE model with 23B active parameters, designed to compete with lower-cost Chinese models like DeepSeek in coding and agentic tasks.

Oct 5, 2026·5 sources

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Top claims

▪Beam was pretrained on 23.8 trillion tokens from web, public, and proprietary licensed datasets, with pretraining completed in under four weeks on 6,144 NVIDIA GB300 GPUs
▪NVIDIA CEO Jensen Huang has defended the use of Chinese open-weight models by US businesses, stating they provide good value for companies
▪Highly efficient, smaller AI models can successfully compete with larger frontier models

Topics

Open-source AI China tech & industrial strategy AGI arms race & geopolitics AI agents Open weights vs closed models Mixture of experts (MoE)AI coding assistants

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