What are THUDM Models?
THUDM models are advanced large language models developed by Tsinghua University and Zhipu AI, featuring the GLM (General Language Model) architecture. These models combine state-of-the-art natural language processing with multimodal capabilities, offering solutions from lightweight 9B parameter models to robust 32B systems. THUDM models are designed for versatility, supporting tasks from mathematical reasoning and code generation to multimodal understanding and function calling, making them ideal for both research and commercial applications.
THUDM/GLM-4-9B-0414
GLM-4-9B-0414 is a small-sized model in the GLM series with 9 billion parameters. Despite its smaller scale, this model demonstrates excellent capabilities in code generation, web design, SVG graphics generation, and search-based writing tasks. The model supports function calling features and shows a good balance between efficiency and effectiveness in resource-constrained scenarios, providing competitive performance in various benchmark tests.
THUDM/GLM-4-9B-0414: Efficient Performance in a Compact Model
GLM-4-9B-0414 is a small-sized model in the GLM series with 9 billion parameters. This model inherits the technical characteristics of the GLM-4-32B series but offers a more lightweight deployment option. Despite its smaller scale, GLM-4-9B-0414 still demonstrates excellent capabilities in code generation, web design, SVG graphics generation, and search-based writing tasks. The model also supports function calling features, allowing it to invoke external tools to extend its range of capabilities. With 33K context length and priced at $0.086/M tokens on SiliconFlow, it provides powerful performance for users who need to deploy AI models under limited computational resources.
Pros
- Lightweight 9B parameters for efficient deployment
- Excellent code generation and web design capabilities
- Function calling support for tool integration
Cons
- Smaller parameter count limits complexity handling
- Less powerful than larger GLM models in the series
Why We Love It
- It delivers impressive performance in a compact 9B parameter package, perfect for resource-constrained environments while maintaining excellent code generation and function calling capabilities.
THUDM/GLM-Z1-9B-0414
GLM-Z1-9B-0414 is a specialized reasoning model with 9 billion parameters that showcases surprising mathematical reasoning capabilities. Despite its compact size, it exhibits excellent performance in mathematical reasoning and general tasks, featuring deep thinking capabilities and long context handling through YaRN technology, making it particularly suitable for applications requiring mathematical reasoning with limited computational resources.
THUDM/GLM-Z1-9B-0414: Mathematical Reasoning Powerhouse
GLM-Z1-9B-0414 is a small-sized model in the GLM series with only 9 billion parameters that maintains the open-source tradition while showcasing surprising capabilities. Despite its smaller scale, GLM-Z1-9B-0414 still exhibits excellent performance in mathematical reasoning and general tasks. Its overall performance is already at a leading level among open-source models of the same size. The research team employed the same series of techniques used for larger models to train this 9B model. Especially in resource-constrained scenarios, this model achieves an excellent balance between efficiency and effectiveness. The model features deep thinking capabilities and can handle long contexts through YaRN technology, with 33K context length and priced at $0.086/M tokens on SiliconFlow.
Pros
- Exceptional mathematical reasoning capabilities for 9B size
- Deep thinking capabilities with YaRN technology
- Leading performance among same-size open-source models
Cons
- Focused primarily on reasoning tasks
- Limited by 9B parameter constraint for complex applications
Why We Love It
- It punches above its weight class, delivering remarkable mathematical reasoning capabilities in a compact 9B model that's perfect for specialized reasoning tasks with limited computational resources.
THUDM/GLM-4-32B-0414
GLM-4-32B-0414 is a powerful 32 billion parameter model with performance comparable to GPT-4o and DeepSeek-V3. Pre-trained on 15T tokens including extensive reasoning data, it excels in engineering code, function calling, search-based Q&A, and report generation. Enhanced through reinforcement learning, it delivers exceptional instruction following and agent task capabilities.
THUDM/GLM-4-32B-0414: Enterprise-Grade Performance
GLM-4-32B-0414 is a new generation model in the GLM family with 32 billion parameters. Its performance is comparable to OpenAI's GPT series and DeepSeek's V3/R1 series, and it supports very user-friendly local deployment features. GLM-4-32B-Base-0414 was pre-trained on 15T of high-quality data, including a large amount of reasoning-type synthetic data, laying the foundation for subsequent reinforcement learning extensions. In the post-training stage, the team enhanced the model's performance in instruction following, engineering code, and function calling using techniques such as rejection sampling and reinforcement learning. GLM-4-32B-0414 achieves excellent results in engineering code, Artifact generation, function calling, search-based Q&A, and report generation, with performance approaching or exceeding larger models. Available on SiliconFlow at $0.27/M tokens with 33K context length.
Pros
- Performance comparable to GPT-4o and DeepSeek-V3
- Pre-trained on 15T high-quality tokens with reasoning data
- Excellent engineering code and function calling capabilities
Cons
- Higher computational requirements than smaller models
- More expensive than 9B variants at $0.27/M tokens
Why We Love It
- It delivers enterprise-grade performance rivaling much larger models, offering exceptional capabilities in code generation, function calling, and complex reasoning tasks with user-friendly deployment options.
THUDM Model Comparison
In this table, we compare 2025's leading THUDM models, each optimized for different use cases. GLM-4-9B-0414 provides efficient general-purpose capabilities, GLM-Z1-9B-0414 specializes in mathematical reasoning, while GLM-4-32B-0414 offers enterprise-grade performance. This comparison helps you choose the right THUDM model for your specific requirements and budget.
| Number | Model | Developer | Parameter Size | SiliconFlow Pricing | Core Strength |
|---|---|---|---|---|---|
| 1 | THUDM/GLM-4-9B-0414 | THUDM | 9B | $0.086/M tokens | Efficient code generation & function calling |
| 2 | THUDM/GLM-Z1-9B-0414 | THUDM | 9B | $0.086/M tokens | Mathematical reasoning & deep thinking |
| 3 | THUDM/GLM-4-32B-0414 | THUDM | 32B | $0.27/M tokens | Enterprise-grade performance & capabilities |
Frequently Asked Questions
Our top three THUDM models for 2025 are GLM-4-9B-0414, GLM-Z1-9B-0414, and GLM-4-32B-0414. Each model excels in different areas: GLM-4-9B-0414 for efficient general-purpose tasks, GLM-Z1-9B-0414 for mathematical reasoning, and GLM-4-32B-0414 for enterprise-grade performance comparable to GPT-4o.
For resource-constrained environments needing general AI capabilities, choose GLM-4-9B-0414. For mathematical reasoning and analytical tasks, GLM-Z1-9B-0414 is optimal. For enterprise applications requiring maximum performance in code generation, function calling, and complex reasoning, GLM-4-32B-0414 is the top choice.