LM Studio vs AirLLM
A side-by-side comparison of features, pricing, and characteristics.
LM Studio
LM Studio is a desktop application that allows users to run large language models (LLMs) locally on their own computers.
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 | LM Studio | AirLLM |
|---|---|---|
| Pricing type | Free + paid | Free |
| Korean support | Yes | No |
| Platforms | Desktop | Linux, macOS, CUDA-enabled NVIDIA GPUs, Apple Silicon |
| Open source | No | Yes |
| API available | Available | - |
| SDK | Available | - |
| LLM-based | Yes | - |
| Multimodal | Yes | - |
| AI model | - | Llama, Qwen, DeepSeek, Mistral, Mixtral, Phi, Gemma |
| GitHub Stars | - | 33.8K |
| Vendor | LM Studio Software Inc. | Anima AI LLC |
| Category | Developer Tools | Developer Tools |
| Details | View | View |
LM Studio key features
- Hugging Face model discovery
- Local LLM inference and chat UI
- OpenAI-compatible local server
- Hardware acceleration (Metal, CUDA, ROCm)
- Fine-grained model parameter control
- Real-time resource monitoring
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