The 750B parameter GLM-5.3 outperforms larger rivals like Kimi K3 on agentic coding benchmarks. Z.ai achieves these scores through scaled post-training rather than raw parameter growth. Open weights arrive on Hugging Face in two weeks. This efficiency proves that strategic training data outweighs sheer model size for specialized coding tasks.