The 750B parameter GLM-5.3 model outperforms larger rivals like Kimi K3 on agentic coding benchmarks. Z.ai will release the open weights on Hugging Face in two weeks. This efficiency gain suggests scaling post-training yields higher returns than raw parameter growth. Developers can now achieve frontier-level coding performance with a significantly smaller footprint.