Reflection AI Beam benchmarks show 501B open weight model nearing China’s best
On October 8, 2026 Capital & Compute published a deep analysis of Reflection AI’s Beam, a 501 billion parameter sparse MoE model with 23 billion active parameters whose open weights are due under Apache 2.0 later this month. Using Reflection’s own benchmark table, the piece finds Beam roughly matches Chinese open model GLM 5.2 on many tasks while trailing newer Chinese releases, and highlights that the model was trained with more than 100 million RL rollouts on over 10,000 NVIDIA GB300 GPUs.
Source: Capital & Compute
