Jan vs Ollama

Short answer

Jan: Offline desktop ChatGPT alternative that runs models on each employee's computer. Ollama: The simplest way to download and run open-weight LLMs locally behind an API. They sit in different categories (Private ChatGPT-style chat and Local model runtimes) but overlap: All of them download and run open-weight models on your own hardware.

Choose Jan if you want: no server to rent (desktop app).

Choose Ollama if you want: larger community (184k vs 45.0k GitHub stars).

Ollama publishes no official RAM figure, so we cannot compare hosting cost directly.

Last updated · computed from each project's official docs and live GitHub data · sources

Jan vs Ollama side by side

JanOllama
CategoryPrivate ChatGPT-style chatLocal model runtimes
What it isOffline desktop ChatGPT alternative that runs models on each employee's computer.The simplest way to download and run open-weight LLMs locally behind an API.
LicenseApache-2.0MIT
License typePermissivePermissive
License conditionsPermissive. Internal and commercial use allowed; keep license and notices.Permissive. Internal and commercial use allowed. Individual models have their own licenses.
StatusActiveActive
GitHub stars45.0k184k
Last commitOct 22, 2026Oct 22, 2026
Latest releasev0.8.7v0.40.8
Minimum hardware8 GB RAM · 10 GB diskNot published
Recommended hardware16 GB RAMNot published
RAM measured by usNot tested yet85 MiB idle, 1.9 GiB working (our test, v0.40.8, Oct 22, 2026)
GPU6 GB VRAM minimum for GPU accelerationNVIDIA GPUs need compute capability 5.0+ and driver 550+ (570+ for compute capability 5.0–6.2). CPU-only also works.
Est. server costNo server (desktop app)from €19.99/mo (based on our test, not official)
Deploy methodDesktop installerDocker (or install script)
Known gotchas2 listed2 listed
TelemetryOff by default (opt-in)Not documented
Calls home by defaultNot documentedYes, by default
SSO (OIDC / SAML / LDAP)Not documentedNot documented
Audit logNot documentedNot documented
RBACNot documentedNot documented
DetailsFull Jan guide →Full Ollama guide →

Key differences

  • Category: Jan: Private ChatGPT-style chat. Ollama: Local model runtimes.
  • License: Jan: Apache-2.0 (Permissive). Ollama: MIT (Permissive).
  • Official hardware: Jan: minimum 8 GB RAM · 10 GB disk (recommended 16 GB RAM). Ollama: not published.
  • Est. server cost: Jan: no server (desktop app). Ollama: not estimated (no official RAM figure).
  • Deploy: Jan: Desktop installer · desktop installer on each computer. Ollama: Docker (or install script) · multi-container stack.
  • GitHub stars: Jan: 45.0k. Ollama: 184k.
  • Latest release: Jan: v0.8.7 (Oct 20, 2026). Ollama: v0.40.8 (Oct 21, 2026).

Same for both: GPU: optional / see notes; Status: Active; Last commit: Oct 22, 2026.

Jan vs Ollama: FAQ

Jan or Ollama: which should a small business choose?

Choose Jan if you want: no server to rent (desktop app). Choose Ollama if you want: larger community (184k vs 45.0k GitHub stars). Ollama publishes no official RAM figure, so we cannot compare hosting cost directly.

Which is cheaper to self-host, Jan or Ollama?

Jan: no server to rent (desktop app).

How much hardware do Jan and Ollama need?

Jan: minimum 8 GB RAM · 10 GB disk (recommended 16 GB RAM). Ollama: not published.

What is the license difference between Jan and Ollama?

Jan: Apache-2.0 (Permissive). Permissive. Internal and commercial use allowed; keep license and notices. Ollama: MIT (Permissive). Permissive. Internal and commercial use allowed. Individual models have their own licenses. This is a summary, not legal advice.

Is Jan or Ollama more actively maintained?

Jan: Active, last commit Oct 22, 2026. Ollama: Active, last commit Oct 22, 2026. GitHub data refreshed Oct 22, 2026.

Which is easier to deploy, Jan or Ollama?

Jan installs via Desktop installer (desktop installer on each computer); Ollama via Docker (or install script) (multi-container stack). Jan lists 2 known gotchas and Ollama lists 2; see each app page.

Related

Sources

Every value is generated from the same verified data as the app pages. Spotted something wrong? Tell us.