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GLM-5.3-Flash: How Z.ai Built a 320B MoE That Runs at 1/10th the Cost of Its Predecessor

This story is from 2026-08-26. It is preserved in the archive; the latest stories are on the live feed.

GLM-5.3-Flash: How Z.ai Built a 320B MoE That Runs at 1/10th the Cost of Its Predecessor Z.ai released GLM-5.3-Flash today under the MIT license — a 320-billion-parameter mixture-of-experts model with only 18 billion active parameters per token. It is the first model in the GLM-5 family to be nativ…

Read the full story at DEV Community — Machine Learning ↗

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  1. 2026-08-26 16:06 · DEV Community — Machine Learning
    GLM-5.3-Flash: How Z.ai Built a 320B MoE That Runs at 1/10th the Cost of Its Predecessor

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