Qoder CN vs AirLLM
A side-by-side comparison of features, pricing, and characteristics.
Qoder CN
Qoder CN is Alibaba Cloud's China-focused agent product family, renamed from TONGYI Lingma in May 2026.
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 | Qoder CN | AirLLM |
|---|---|---|
| Pricing type | Free + paid (from $0/mo) | Free |
| Korean support | No | No |
| Platforms | Windows, macOS, Linux, JetBrains, Terminal, Mobile, Alibaba Cloud | Linux, macOS, CUDA-enabled NVIDIA GPUs, Apple Silicon |
| Open source | No | Yes |
| API available | Available | - |
| SDK | - | - |
| LLM-based | Yes | - |
| Multimodal | Yes | - |
| AI model | GLM, DeepSeek, Kimi, MiniMax | Llama, Qwen, DeepSeek, Mistral, Mixtral, Phi, Gemma |
| GitHub Stars | - | 33.8K |
| Vendor | Alibaba Cloud | Anima AI LLC |
| Category | Developer Tools | Developer Tools |
| Details | View | View |
Qoder CN key features
- Qoder CN Desktop, IDE, and JetBrains coding agents
- Repo Wiki, Quest 2.0, and expert agents
- QoderWork CN file, document, and browser task execution
- Qoder CN CLI terminal agent engine
- QoderWake CN always-on digital employees
- Isolated sandbox-based Cloud Agents CN
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