The 750B parameter GLM-5.3 outperforms larger rivals like Kimi K3 on agentic coding benchmarks. Z.ai attributes these gains to scaled post-training. The model arrives on Hugging Face in two weeks. This efficiency proves that smaller parameter counts can hit frontier performance levels if training data is optimized for specific reasoning tasks.