AirLLM vs Qwen Code
A side-by-side comparison of features, pricing, and characteristics.
AirLLM
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 reviewQwen Code
Qwen Code is Alibaba Qwen's open-source coding agent for terminal, IDE, desktop, daemon, SDK, and messaging workflows.
Read the full review| Attribute | AirLLM | Qwen Code |
|---|---|---|
| Pricing type | Free | Free |
| Korean support | No | No |
| Platforms | Linux, macOS, CUDA-enabled NVIDIA GPUs, Apple Silicon | macOS, Linux, Windows, Terminal, VS Code, Zed, JetBrains, Desktop |
| Open source | Yes | Yes |
| API available | - | Available |
| SDK | - | Available |
| LLM-based | - | Yes |
| Multimodal | - | Yes |
| AI model | Llama, Qwen, DeepSeek, Mistral, Mixtral, Phi, Gemma | Qwen, OpenAI-compatible models, Anthropic-compatible models, Gemini, Ollama, vLLM |
| GitHub Stars | 33.8K | 27.7K |
| Vendor | Anima AI LLC | Alibaba Cloud (Alibaba Group) |
| Category | Developer Tools | Developer Tools |
| Details | View | View |
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
Qwen Code key features
- Auto-Memory, Auto-Skills, and hooks
- Sub-agents, agent teams, and dynamic workflows
- MCP, LSP, sandboxes, and Git worktrees
- Terminal, headless, IDE, desktop, and daemon modes
- TypeScript, Python, and Java SDKs
- Support for OpenAI, Anthropic, Gemini, Qwen, and local models