Reflection has introduced Beam, its first open-weight AI model designed to compete with leading Chinese models in efficiency and performance. According to The Decoder, Beam is a mixture-of-experts system that activates 23 billion parameters out of a total 501 billion per token, optimizing computational resources.
The model aims to match the coding and reasoning capabilities of GLM 5.2 while using three to four times less compute power, highlighting its efficiency advantage. This release positions Reflection alongside competitors like Deepseek and Qwen in the rapidly evolving AI landscape.
For Japanese markets, where AI-driven innovation is increasingly influencing FX, crypto, and equities trading, Beam’s efficient design could offer new opportunities for cost-effective and powerful AI applications.