AirLLM vs Decipher AI
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 reviewDecipher AI
Decipher AI is an agentic QA platform for the AI coding era that generates and maintains E2E tests as you ship code.
Read the full review| Attribute | AirLLM | Decipher AI |
|---|---|---|
| Pricing type | Free | Free + paid (from $199/mo) |
| Korean support | No | No |
| Platforms | Linux, macOS, CUDA-enabled NVIDIA GPUs, Apple Silicon | mobile, web, cli, desktop, api |
| Open source | Yes | No |
| API available | - | Available |
| SDK | - | Available |
| LLM-based | - | Yes |
| Multimodal | - | Yes |
| AI model | Llama, Qwen, DeepSeek, Mistral, Mixtral, Phi, Gemma | - |
| GitHub Stars | 33.8K | - |
| Vendor | Anima AI LLC | Decipher 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
Decipher AI key features
- Generate tests via screen recording or flow description
- Self-healing tests that adapt to UI changes automatically
- Real-time monitoring and alerting for production bugs
- Automated ticket creation with reproduction steps
- Smart caching for faster test execution