media Interconnects · 1h ago · post_training

Z.ai releases GLM-5.3 with extended post-training

from English

Z.ai announced GLM-5.3, a new model that achieves frontier performance on agentic coding benchmarks by extending the post-training of its GLM-5.2 base model. The ~750B parameter model currently surpasses Kimi K3 and matches or exceeds Claude Fable 5 and GPT-5.6-Sol on various benchmarks.

Z.ai states that "scaling post-training is all we did" for this release, utilizing more environments, diverse tasks, and compute.
The model has approximately 750B parameters, which is a third of the size of Kimi K3.
GLM-5.3 is available in the coding plan, with API access coming soon and open weights on Hugging Face in two weeks.

The release highlights Z.ai's strength in post-training optimization and rapid iteration cycles compared to American competitors.

Importance 3/3 Beats a top-lab benchmark Interconnects Zhipu AI Benchmark results Open weights

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