The 750B parameter GLM-5.3 model outperforms larger rivals like Kimi K3 on agentic coding benchmarks. Z.ai achieves these results with a third of the parameters used by competitors. Open weights arrive on Hugging Face in two weeks. This efficiency gain proves that scaling post-training can offset raw parameter counts for specialized coding tasks.