GLM-Z1-32B-0414

GLM-Z1-32B-0414: A Reasoning Model with Deep Thinking Capabilities Based on GLM-4-32B-0414

Key Features

1. Parameter Size and Performance
   GLM-Z1-32B-0414 is built with 32 billion parameters, offering performance comparable to OpenAI's GPT series and DeepSeek's V3/R1 models. It supports user-friendly local deployment, making it accessible for a wide range of applications.

2. Training Data and Methodology
   The model is pre-trained on 15 trillion tokens of high-quality data, with a particular focus on synthetic data for reasoning tasks, laying the groundwork for further reinforcement learning. The training process incorporates cold-start techniques and extended reinforcement learning strategies, significantly enhancing its abilities in mathematics, coding, and logical reasoning.

3. Reasoning Capabilities
   GLM-Z1-32B-0414 excels in inference speed, reaching up to 200 tokens per second, making it one of the fastest commercial models available in China. It performs exceptionally well in complex task processing, including mathematical and logical reasoning.

4. Application Performance
   The model shows strong results in engineering code generation, function calling, search-based Q&A, and report writing. On some benchmarks, its performance approaches or surpasses that of larger models such as GPT-4o and DeepSeek-V3-0324.

Application Scenarios

1. Engineering Code Generation
   GLM-Z1-32B-0414 is capable of generating complex engineering code across multiple programming languages such as HTML and Python. It can handle tasks involving intricate code structures, such as creating customizable drawing boards or mini-games.

2. Mathematical Reasoning
   The model performs exceptionally well in mathematical reasoning, capable of solving multi-step math problems and handling complex logical deduction. It has demonstrated strong mathematical inference abilities in various benchmark tests.

3. Search-Based Question Answering
   GLM-Z1-32B-0414 delivers fast and accurate responses in search-driven Q&A tasks, supporting complex query processing and information retrieval needs.

4. Report Generation
   The model can generate structured reports suitable for business analysis, academic research, and other domains. It automatically drafts detailed analytical reports based on the provided data and requirements.

5. Complex Task Processing
   Well-suited for tasks that require deep thinking and multi-turn interaction, such as comparative analysis writing or development planning. It can integrate search tools during reasoning to improve both efficiency and accuracy.

6. Agent-Based Tasks
   GLM-Z1-32B-0414 supports the development of intelligent agents, capable of executing multi-turn and complex interactive tasks. It excels in tool use and web-connected tasks, making it ideal for building smart assistants and automation systems.