AirLLM vs Codex CLI

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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Codex CLI

An open-source, terminal-based AI coding agent by OpenAI that automates repository tasks, reviews pull requests, and runs tests in sandboxed environments.

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AttributeAirLLMCodex CLI
Pricing typeFreeFree + paid (from $20/mo)
Korean supportNoNo
PlatformsLinux, macOS, CUDA-enabled NVIDIA GPUs, Apple SiliconmacOS, Linux, Windows (WSL2)
Open sourceYesYes
API available--
SDK--
LLM-based--
Multimodal--
AI modelLlama, Qwen, DeepSeek, Mistral, Mixtral, Phi, GemmaGPT, Codex
GitHub Stars33.8K122.0K
VendorAnima AI LLCOpenAI
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

Codex CLI key features

  • Terminal-based execution (CLI)
  • Execution in an isolated cloud sandbox
  • Natural language-based code generation and editing
  • Automated testing and debugging loop
  • Git and GitHub workflow integration (automatic PR generation)
  • Custom skill expansion (SKILL.md)