Reflection AI launches Beam, an open-weight model aimed at efficient reasoning

Reflection AI Inc. today introduced Beam, an open-source large language model with 501 billion parameters. The launch comes a few months after the startup raised funding at a $25 billion valuation. Around the same time, Reflection AI reportedly inked a $6.3 billion deal with SpaceX Corp. to rent Nvidia GB300 NVL72 appliances. It used those […] The post Reflection AI debuts open-source Beam model with 501B parameters appeared first on SiliconANGLE.

Reflection AI, the Nvidia-backed startup founded by former Google DeepMind researchers, has unveiled Beam, its first open-weight model. Beam is built for coding, reasoning and agentic work. Reflection will release its weights later this month, the company said in a blog post on Monday. Anyone can download an open-weight model and run it on their […] This story continues at The Next Web

Reflection AI has introduced Beam, its first open-weight model. It is a 501B sparse Mixture-of-Experts model with 23B active parameters, built for coding and agentic work. Reflection says it matches GLM-5.2 on reasoning with 3 to 4x less inference compute. Apache 2.0 weights are due later in October 2026. The post Reflection AI Introduces Beam: A 501B Open-Weight MoE Model With 23B Active Parameters for Coding and Agentic Workloads appeared first on MarkTechPost.

Nvidia-backed Reflection AI unveils Beam, its first open-weight model, which it says rivals GLM-5.2 on reasoning with far less inference compute. Weights are due this month.