Reflection debuts Beam, an open-weight AI model to rival Chinese models at lower compute cost

Reflection AI has launched 'Beam,' an open-weight model designed to compete with Chinese AI models by offering high reasoning performance at a lower compute cost. The startup aims to challenge both closed-source labs and existing open-source players in the Western market.
Why it matters
The release highlights the ongoing arms race in AI efficiency and the strategic effort to provide Western alternatives to Chinese-developed frontier models.
Reflection AI is officially unveiling Beam, its first frontier, open-weight AI model. The two-year-old, Brooklyn-based startup claims Beam matches the performance of leading Chinese open models on advanced reasoning benchmarks at dramatically lower costs, a claim that could heat up the race to build a Western answer to DeepSeek, Qwen, and Z.ai.
Reflection’s announcement confirms reporting from Axios over the weekend that the startup was close to a launch. The company shared new details in a lengthy blog post Monday , which described Beam as a text-only mixture-of-experts model trained on high-compute reinforcement learning to be effective at reasoning, coding, and agentic tasks at “a fraction of the token cost and inference time compute” of rivals.
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