AirLLM vs Flowise
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 reviewFlowise
Flowise is an open-source low-code tool for building LLM applications visually.
Read the full review| Attribute | AirLLM | Flowise |
|---|---|---|
| Pricing type | Free | Free + paid (from $35/mo) |
| Korean support | No | Partial |
| Platforms | Linux, macOS, CUDA-enabled NVIDIA GPUs, Apple Silicon | Web, Desktop, Docker, API |
| Open source | Yes | Yes |
| API available | - | Available |
| SDK | - | Available |
| LLM-based | - | Yes |
| Multimodal | - | Yes |
| AI model | Llama, Qwen, DeepSeek, Mistral, Mixtral, Phi, Gemma | GPT, Claude, Llama, Mistral |
| GitHub Stars | 33.8K | 55.4K |
| Vendor | Anima AI LLC | FlowiseAI (Acquired by Workday) |
| 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
Flowise key features
- Drag-and-drop UI
- 100+ integrations
- Multi-agent orchestration
- RAG workflow building
- Real-time execution tracing
- API & SDK support