Helicone vs AirLLM
A side-by-side comparison of features, pricing, and characteristics.
Helicone
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 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 | Helicone | AirLLM |
|---|---|---|
| Pricing type | Free + paid (from $79/mo) | Free |
| Korean support | No | No |
| Platforms | Web | Linux, macOS, CUDA-enabled NVIDIA GPUs, Apple Silicon |
| Open source | Yes | Yes |
| API available | Available | - |
| SDK | Available | - |
| LLM-based | - | - |
| Multimodal | Yes | - |
| AI model | GPT, Claude | Llama, Qwen, DeepSeek, Mistral, Mixtral, Phi, Gemma |
| GitHub Stars | 6.1K | 33.8K |
| Vendor | Helicone | Anima AI LLC |
| Category | Developer Tools | Developer Tools |
| Details | View | View |
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
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