GLM-4 32B (0414-128k)

GLM-4-32B is an instruction-tuned language model with 32 billion parameters that punches above its weight class. Built by the same research lab behind the thudm models, it was pre-trained on 15 terabytes of high-quality data to deliver performance competitive with much larger mainstream models. The architecture is designed to be highly cost-effective while maintaining strong capabilities across complex reasoning and generation tasks. With a 128,000-token context window, it can handle lengthy documents and multi-turn conversations that would overwhelm smaller context models.

The model particularly excels in engineering code generation, artifact creation, function calling, search-based question answering, and report writing. Its training emphasis on tool use and intelligent task execution makes it well-suited for applications requiring precise function calling and structured outputs. The combination of strong code-related abilities, substantial context capacity, and instruction-following refinement positions this 32B model as a practical choice for developers seeking large-language-model capabilities without the operational overhead of larger deployments. The model was released with a knowledge cutoff around April 2025, ensuring reasonable currency for general knowledge queries.