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Zhipu releases GLM-5, a 744-billion-parameter open model for agentic engineering

See how this story connects

Zhipu AI’s Z.ai released GLM-5 for complex systems engineering and long-horizon agent tasks, scaling from GLM-4.5’s 355 billion parameters (32 billion active) to 744 billion (40 billion active) and from 23 trillion to 28.5 trillion training tokens. It uses DeepSeek Sparse Attention to cut deployment cost and slime, Zhipu’s asynchronous reinforcement-learning system.

Why it matters

A listed Chinese lab shipped a near-trillion-parameter open model that reuses DeepSeek’s attention design, a sign of Chinese labs building on each other’s open work.

When
12 Feb 2026
ID
WTA-N-2026-0190
Where
China
Who
Zhipu AI

Summary by wheresthe.ai, from Z.ai. Checked against the source on 10 Oct 2026.

Source copy: download the page as saved on 21 Oct 2026 (PDF). Also held by the Internet Archive.

Next stop on this Storyline: Led toZhipu’s GLM-5.1 tops GPT-5.4 and Opus 4.6 on SWE-Bench Pro, by its own count

Cite this story

WTA-N-2026-0190: “Zhipu releases GLM-5, a 744-billion-parameter open model for agentic engineering.” wheresthe.ai, 12 Feb 2026. https://wheresthe.ai/d/cn-zhipu-glm-5-release-2026-02/ (source: Z.ai: GLM-5).

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