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ZGCM-1: A Fully Open and Extremely Efficient Foundation Model for Math and Agentic Search

302 upvotes · 11 SEP 2026 · Jiyan He, Guang Liang, Hao Liu et al.

This paper introduces ZGCM-1, a highly efficient foundation model for math and agentic search that combines internal thinking with external tool use, and shows it can perform well on various benchmarks despite its compact size. Practitioners may care about the efficiency improvements and scalable architecture of ZGCM-1.

foundation modelsopen-sourceagentic searchmath reasoningcontinual learninglarge language models