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Jan vs Ollama

A side-by-side comparison of two open-source tools to help you choose the right one.

Feature
SummaryAn offline AI assistant that runs on your device.Run open LLMs locally with a single command.
GitHub stars30K175K
LicenseAGPL 3.0MIT
LanguageTypeScriptGo
PricingFree & Open SourceFree & Open Source
Self-hostable
ReplacesChatGPT, GitHub CopilotChatGPT, Claude
Rating4.6 / 54.9 / 5

Jan features

  • Runs open models entirely offline on CPU or GPU
  • Cross-platform desktop app (macOS, Windows, Linux)
  • Optional connection to remote model APIs
  • Local API server compatible with OpenAI clients
  • No telemetry by default

Ollama features

  • One-command model download and run (e.g. `ollama run llama3.3`)
  • Built-in OpenAI-compatible REST API for local apps
  • Runs open models — Llama, DeepSeek, Qwen, Gemma, Mistral — on CPU or GPU
  • GPU acceleration on NVIDIA, AMD, and Apple Silicon
  • Custom models and prompts via Modelfiles, plus a large model library

Janpros & cons

Pros

  • Genuinely private and offline-first
  • Simple, friendly desktop UX
  • Doubles as a local OpenAI-compatible server

Cons

  • Local model quality depends on your hardware
  • Smaller plugin ecosystem than web apps

Ollamapros & cons

Pros

  • Dead-simple setup — a model is running in one command
  • Powers popular front-ends like Open WebUI and editors like Continue and Aider
  • Fully offline and private; nothing leaves your machine

Cons

  • Model quality and speed depend on your local hardware
  • Ships as a CLI and API — pair it with a front-end for a graphical chat UI

Command Palette

Search for a command to run...