AirLLM vs Kimi 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 reviewKimi Code
Kimi Code is Moonshot AI's open-source coding agent for terminal and IDE workflows.
Read the full review| Attribute | AirLLM | Kimi Code |
|---|---|---|
| Pricing type | Free | Free + paid |
| Korean support | No | No |
| Platforms | Linux, macOS, CUDA-enabled NVIDIA GPUs, Apple Silicon | macOS, Linux, Windows, Terminal, Zed, JetBrains |
| Open source | Yes | Yes |
| API available | - | Available |
| SDK | - | - |
| LLM-based | - | Yes |
| Multimodal | - | Yes |
| AI model | Llama, Qwen, DeepSeek, Mistral, Mixtral, Phi, Gemma | Kimi K2.7 Code, Kimi models |
| GitHub Stars | 33.8K | 7.3K |
| Vendor | Anima AI LLC | Moonshot AI |
| 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
Kimi Code key features
- Code reading/modification and shell command execution
- Code search and web document investigation
- Interactive configuration of MCP servers
- Plugins, skills, and lifecycle hooks
- Parallel sub-agents for coder, explore, and plan
- ACP-based Zed and JetBrains IDE integration