AirLLM vs CodeQL

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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CodeQL

CodeQL is the industry-standard semantic code analysis engine by GitHub.

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AttributeAirLLMCodeQL
Pricing typeFreeFree + paid (from $49/mo)
Korean supportNoNo
PlatformsLinux, macOS, CUDA-enabled NVIDIA GPUs, Apple SiliconWeb, CLI, API
Open sourceYesNo
API available-Available
SDK-Available
LLM-based--
Multimodal--
AI modelLlama, Qwen, DeepSeek, Mistral, Mixtral, Phi, GemmaGitHub Copilot for CodeQL, LLM-based query generation
GitHub Stars33.8K10.1K
VendorAnima AI LLCGitHub (acquired Semmle)
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

CodeQL key features

  • Semantic Code Analysis
  • Data Flow Analysis
  • Taint Analysis
  • Custom Query Writing
  • GitHub Actions Integration
  • Multi-language Support