Zhipu AI has released GLM-5, a 744B parameter model designed for complex engineering tasks, featuring DeepSeek Sparse Attention to reduce deployment costs. This open-sourced model, available via API, signals a strategic push to compete with leading AI models and could accelerate adoption in industrial applications.
Zhipu AI's release of GLM-5, with its massive parameter count and specialized architecture for agentic tasks, signals a strategic push to compete with leading open-source models. The integration of DeepSeek Sparse Attention to manage costs could lower the barrier to entry for deploying powerful AI, potentially accelerating its adoption in complex industrial and engineering applications across the sector.
Zhipu AI launches GLM-5, a 744B parameter model for complex engineering.
The model features DeepSeek Sparse Attention to lower deployment costs.
GLM-5 is open-sourced and available via API, targeting advanced reasoning and agentic tasks.
GLM-5 is open-sourced and available via API, targeting advanced reasoning and agentic tasks.
The pre-training dataset was expanded to 28.5 trillion tokens.
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