Reflection AI has introduced Beam, its first open-weight model, which is a 501 billion sparse Mixture-of-Experts (MoE) model. With 23 billion active parameters, Beam is specifically designed for coding and agentic workloads, marking a significant advancement in AI model capabilities.
According to Reflection AI, Beam matches the reasoning capabilities of GLM-5.2 while utilizing 3 to 4 times less inference compute. This efficiency is crucial for developers and organizations looking to optimize their AI applications without compromising performance.
The model’s weights, licensed under Apache 2.0, are expected to be released later in October 2026, providing the AI community with access to this state-of-the-art technology and fostering further innovation in the field.
Compiled automatically by the Tech AI Newsdesk from public AI-news sources and summarised in our own words.
