Reflection has introduced Beam, a new 501 billion parameter open-weight model designed for coding, reasoning, and agentic tasks. The model was trained using a combination of extensive pretraining on 23.8 trillion tokens and high-compute reinforcement learning, utilizing 10.5K NVIDIA GB300 GPUs over four weeks. Beam aims to offer competitive performance against other large open-weight models like GLM-5.2 and Qwen 3.8-Max, with a particular focus on inference efficiency. AI
IMPACT Sets a new benchmark for open-weight models in coding and agentic tasks, potentially driving enterprise adoption due to its efficiency.
RANK_REASON Frontier-lab model release with system card.
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