GLM-5.2: Built for Long-Horizon Tasks
Hugging Face Blog
Zhipu released GLM-5.2, a language model designed for long-horizon coding tasks with a stable 1M-token context window. The model achieves 81.0 on Terminal-Bench 2.1 (compared to 63.5 for GLM-5.1) and ranks as the highest open-source model on three long-horizon coding benchmarks. The architecture introduces IndexShare, which reduces per-token computation by 2.9× at 1M context length, and users can now select effort levels to balance performance against latency and computational cost.
