Zhipu GLM-4 vs AirLLM
A side-by-side comparison of features, pricing, and characteristics.
Zhipu GLM-4
A large language model developed by Zhipu AI (Z.ai) that supports complex language understanding, generation, code execution, and multimodal interaction.
Read the full reviewAirLLM
Open-source Python library that runs very large language models on low-memory GPUs by streaming model layers one at a time.
Read the full review| Attribute | Zhipu GLM-4 | AirLLM |
|---|---|---|
| Pricing type | Free + paid (from $10/mo) | Free |
| Korean support | No | No |
| Platforms | web, api | Linux, macOS, CUDA-enabled NVIDIA GPUs, Apple Silicon |
| Open source | No | Yes |
| API available | Available | - |
| SDK | - | - |
| LLM-based | Yes | - |
| Multimodal | Yes | - |
| AI model | GLM, CogView, CogVideoX, ChatGLM | Llama, Qwen, DeepSeek, Mistral, Mixtral, Phi, Gemma |
| GitHub Stars | 7.1K | 33.8K |
| Vendor | Zhipu AI | Anima AI LLC |
| Category | Developer Tools | Developer Tools |
| Details | View | View |
Zhipu GLM-4 key features
- Super-long text processing through a context window of up to 200K
- Autonomous task execution capabilities such as web browsing and code execution
- Multimodal capability to process text, images, and videos
- SWE-bench Verified 73.8% — Open-source top-tier coding performance
- GLM All-Tools: Autonomously choosing the most suitable tool for the task
- Support for deep reasoning Thinking Mode
AirLLM key features
- Reducing GPU memory usage through layer-wise model streaming
- Supporting inference of 70B-class models on a single 4GB GPU
- AutoModel interface based on Hugging Face model IDs
- 4-bit and 8-bit block-wise model compression
- Supporting CPU inference and Apple Silicon macOS
- Supporting various model families including Llama, Qwen, DeepSeek, and Mistral