GLM-Z1-9B-0414 is a 9B-parameter language model developed by THUDM as part of the GLM-4 family. It incorporates techniques originally applied to larger GLM-Z1 models, including extended reinforcement learning, pairwise ranking alignment, and training on reasoning-intensive tasks such as mathematics, code, and logic. Despite its smaller size, it demonstrates strong performance on general-purpose reasoning tasks and outperforms many open-source models in its weight class.
Modalities
Context
32K
Released
Apr 25, 2025
Knowledge Cutoff
Mar 2025
Token volume and request traffic to this model over time.
GLM-Z1-9B-0414 is a 9B-parameter language model developed by THUDM as part of the GLM-4 family. It incorporates techniques originally applied to larger GLM-Z1 models, including extended reinforcement learning, pairwise ranking alignment, and training on reasoning-intensive tasks such as mathematics, code, and logic.
GLM Z1 9B has a 32,000 token context window.
GLM Z1 9B was released on April 25, 2025. Its knowledge cutoff is March 31, 2025.