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GLM-5.2: Built for Long-Horizon Tasks

Hugging Face 17 June 2026, 09:01

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.

GLM-5.2 Zhipu GLM-5.1

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TLDRocket 17 September 2026

The biggest throughline today is power—specifically, how AI systems are learning to live within the electric grid rather than treating it like an afterthought. Emerald AI, alongside Google, Nvidia, and Anthropic, formed the AI Energy Management Alliance to push utilities to treat demand-response load reductions as part of data-center planning. The pitch is bluntly practical: use grid software to unlock up to 100 gigawatts of additional data-center capacity by shifting demand temporarily, reducing reliance on backup generators even as new power generation still remains necessary.

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GLM-5.2: Built for Long-Horizon Tasks

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