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As of Oct 5, 2026, Reflection AI's Beam is its first open-weight model: a 501B-parameter sparse MoE (23B active) built for coding, reasoning, and agentic workloads, with weights due later that month.
- Oct 5Official
Reflection AI unveils Beam, a 501B-parameter open-weight MoE model, weights due later this month
Reflection AI introduced Beam, its first open-weight model: a sparse mixture-of-experts model with 501 billion total parameters, 23 billion active, built for coding, reasoning, and agentic workloads. It was pretrained on 23.8 trillion tokens, and the high-compute RL run generated over 100 million rollouts on 10.5K NVIDIA GB300 GPUs over four weeks. Reflection says Beam is competitive with larger open models like GLM 5.2 and approaching Qwen 3.8-Max on coding and agentic tasks, with its advantage being efficiency at inference time. The model is undergoing final red-teaming, and the weights, technical report and model card are due later this month; early access is open by sign-up.
Source: Reflection AI
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