The GLM team has released version 5.3 of the GLM model.
This update marks the latest iteration in the GLM series.
The GLM team has released version 5.3 of the GLM model.
This update marks the latest iteration in the GLM series.
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.
Macaron-V1 is an open agent-model family designed for experiential intelligence, enabling learning from real environments and continuing to learn after deployment. The system focuses on two goals: adaptation through recursive improvement of model-harness pairs and collaboration via a Mixture-of-LoRA (MoL) architecture that selects specialist LoRA adapters per user turn.
Macaron-V1 is an open agent-model family designed for experiential intelligence, enabling systems to learn from real-world experiences and continue improving after deployment. The architecture centers on two goals: adaptation through recursive self-improvement of model-harness pairs, and collaboration via a Mixture-of-LoRA (MoL) system that selects specialist adapters per user turn.
Documentation for Zhipu's upcoming GLM-5.3 model has surfaced and was subsequently deleted within seconds. The pages were indexed by Bing before disappearing.
A commit branch for GLM 5.3 has been identified in the z-ai-sdk-java repository on GitHub.
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