Google Antigravity vs AirLLM
A side-by-side comparison of features, pricing, and characteristics.
Google Antigravity
An agentic software development platform by Google DeepMind designed to orchestrate autonomous AI agents for code generation, execution, and testing.
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 | Google Antigravity | AirLLM |
|---|---|---|
| Pricing type | Free + paid (from $0/mo) | Free |
| Korean support | No | No |
| Platforms | macOS, Linux, Windows | Linux, macOS, CUDA-enabled NVIDIA GPUs, Apple Silicon |
| Open source | No | Yes |
| API available | - | - |
| SDK | - | - |
| LLM-based | - | - |
| Multimodal | - | - |
| AI model | Gemini, Claude | Llama, Qwen, DeepSeek, Mistral, Mixtral, Phi, Gemma |
| GitHub Stars | 3.3K | 33.8K |
| Vendor | Google DeepMind | Anima AI LLC |
| Category | Developer Tools | Developer Tools |
| Details | View | View |
Google Antigravity key features
- Multi-agent orchestration and parallel collaboration
- Agent autonomy to plan, execute, and verify test results on its own
- Sandbox environment integrating local editor, terminal, and browser
- Python SDK and CLI ecosystem supporting custom agent development
- Integration with the latest multimodal models, including the Gemini 3 series
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