AirLLM vs Cactus

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.

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Cactus

Cactus is an open-source SDK optimized for deploying text, vision, and speech models locally on smartphones and consumer hardware.

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AttributeAirLLMCactus
Pricing typeFreeFree + paid (from $0/mo)
Korean supportNoNo
PlatformsLinux, macOS, CUDA-enabled NVIDIA GPUs, Apple SiliconiOS, Android, Flutter, React Native, Kotlin Multiplatform
Open sourceYesYes
API available-Available
SDK-Available
LLM-based-Yes
Multimodal-Yes
AI modelLlama, Qwen, DeepSeek, Mistral, Mixtral, Phi, GemmaQwen, Gemma, Llama, DeepSeek, Phi, Mistral
GitHub Stars33.8K4.2K
VendorAnima AI LLCCactus
CategoryDeveloper ToolsDeveloper Tools
DetailsView 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

Cactus key features

  • Local deployment of text, vision, and speech models
  • Built-in telemetry for real-time monitoring
  • Sub-50ms latency and up to 300 tokens/second processing
  • Agent Builder Canvas for workflow management
  • Flutter and React Native SDK support