AirLLM vs Helicone
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 reviewHelicone
Helicone is an observability platform designed for Large Language Model (LLM) applications to help developers route, debug, and analyze their AI deployments.
Read the full review| Attribute | AirLLM | Helicone |
|---|---|---|
| Pricing type | Free | Free + paid (from $79/mo) |
| Korean support | No | No |
| Platforms | Linux, macOS, CUDA-enabled NVIDIA GPUs, Apple Silicon | Web |
| Open source | Yes | Yes |
| API available | - | Available |
| SDK | - | Available |
| LLM-based | - | - |
| Multimodal | - | Yes |
| AI model | Llama, Qwen, DeepSeek, Mistral, Mixtral, Phi, Gemma | GPT, Claude |
| GitHub Stars | 33.8K | 6.1K |
| Vendor | Anima AI LLC | Helicone |
| 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
Helicone key features
- Observability and monitoring of LLM requests and sessions
- Gateway with caching, rate limits, and automatic fallbacks
- Prompt management, testing, and scoring capabilities