> ## Content Index
> Fetch the complete content index at: https://www.theaidirectory.com.au/llms.txt
> Use this file to discover other available public pages before exploring further.

# LM Studio vs Jan 2026: Which Private AI App Should Australians Run?
- URL: https://www.theaidirectory.com.au/compare-lm-studio-vs-jan-australia/
- Published: 2026-06-12T23:00:00.000Z
- Updated: 2026-10-09T06:41:54.000Z
- Description: Two free, offline AI apps that keep your data on your own hardware. One wins on polish, the other on provable privacy. Here's which Australians should pick.
- Author: Adam
- Tags: Local / Offline & Private AI, #comparison

Head-to-head verdict

[**23**/25LM StudioWinner](https://www.theaidirectory.com.au/review-lm-studio-australia-2026/)[**20**/25Jan](https://www.theaidirectory.com.au/review-jan-australia-2026/)

**Our pick: LM Studio.** The verdict below says who should buy the other.

*Pricing figures updated 6 September 2026: USD prices are converted at the current rate (1 USD ≈ 1.40 AUD, verified 5 September 2026) and shown ex-GST, replacing the retired 1.55 + GST basis. A GST-registered Australian business that supplies its ABN is not charged GST on an imported digital service; other buyers should allow \~10% on top (*[*Methodology*](https://www.theaidirectory.com.au/methodology/)*).*

Both of these tools do the same core job: they let you run AI models entirely on your own computer, free, with no subscription and nothing sent to the cloud. For an Australian business worried about the Privacy Act, cross-border data disclosure, or simply keeping client information in the building, that architecture is the whole appeal — the data never travels.

So the choice between them isn't about cloud-versus-local. It's about a narrower trade-off: **LM Studio gives you the most polished on-ramp; Jan gives you the strongest provable privacy.** This piece settles which one a 35-year-old Melbourne business owner should install first.

We reviewed both in June 2026\. [LM Studio scored 23/25 (Excellent)](https://www.theaidirectory.com.au/review-lm-studio-australia-2026/) and is our category Top Pick. [Jan scored 20/25 (Very Good)](https://www.theaidirectory.com.au/review-jan-australia-2026/). Those scores stand; we're not re-marking here, just helping you choose.

## Quick look

|                    | LM Studio                            | Jan                           |
| ------------------ | ------------------------------------ | ----------------------------- |
| **Our score**      | 23/25 ⭐⭐⭐⭐⭐ Excellent                | 20/25 ⭐⭐⭐⭐ Very Good          |
| **Australian Fit** | 5/5                                  | 5/5                           |
| **Price**          | Free (home + commercial)             | Free (Apache 2.0 open source) |
| **Runs offline**   | Yes                                  | Yes                           |
| **Open source**    | No (closed source)                   | Yes (Apache 2.0, auditable)   |
| **Telemetry**      | None by default (per privacy policy) | None by default, opt-in only  |
| **Best for**       | Easiest start, biggest ecosystem     | Provable, auditable privacy   |

## What it costs in Australia

Neither tool charges you a cent. Both are genuinely free, including for commercial use, so there's no AUD conversion and no GST question to work through.

| Plan             | LM Studio                        | Jan                           |
| ---------------- | -------------------------------- | ----------------------------- |
| Software licence | A$0 (free for home and work use) | A$0 (Apache 2.0, open source) |
| Subscription     | None                             | None                          |
| Per-use charge   | None                             | None                          |

The only real cost is hardware. Capable models need a reasonably modern machine — plenty of RAM and a decent GPU — and that's identical for both apps. If you buy a more powerful PC to run larger models, that's a one-off capital cost (inc. GST at the till), but it's not a cost of either app.

That "free" matters more than it first appears. The cloud AI tools most Australians know — ChatGPT, Claude, Gemini — all carry a monthly per-seat subscription, typically around US$20 a head (roughly A$28 ex-GST at our house basis), which adds up fast across a team. Both LM Studio and Jan remove that line item entirely. You buy the hardware once and run as many models, as often as you like, for as many staff as the machine will serve. For a small firm that's a real saving; for a privacy-sensitive one it's the saving *and* the data control in a single decision.

## Where they differ

On the surface they look almost the same: a clean, ChatGPT-style chat window, a model picker, and conversation history, all running on your own machine with no internet required. The differences are in two places — onboarding polish and the privacy guarantee.

**Onboarding and ecosystem — LM Studio leads.** LM Studio's built-in model browser tells you, *before* you download anything, whether a given model will fit in your computer's memory. That single feature removes the most common source of newcomer frustration, and it's why LM Studio scored 5/5 on Ease of Use against Jan's 4/5\. LM Studio also ships a one-click local server, so a developer can point internal tools at the model running in-house — a private, on-premises version of a cloud AI API. Jan has a clean, familiar interface too, but it's a younger, smaller project with a less established community and fewer third-party integrations (Feature Depth 4/5 for LM Studio versus 3/5 for Jan).

**Privacy guarantee — Jan leads.** Both apps keep your data on your device, and both ship with no telemetry by default. The difference is *how you know that*. LM Studio is closed source: its privacy policy states the app includes no telemetry or user tracking, but you can't independently audit the code to verify it. Jan is fully open source (Apache 2.0), with analytics off by default and opt-in only — and even when enabled, its policy states it never collects your chats, settings, prompts or model choices, only anonymous aggregate metrics via PostHog EU. For an organisation that has to *prove* data never leaves its control, not just assert it, that auditability is a real advantage.

It's worth being precise about how big that gap is, because it's easy to overstate. LM Studio is not a privacy risk — its own privacy policy is clear that the app ships with no telemetry, and in practice your prompts stay on your machine exactly as Jan's do. The distinction is about *verifiability*, not behaviour. With LM Studio you trust a written policy from the vendor; with Jan you (or a security consultant you hire) can read the source and confirm it. For most businesses, a stated no-telemetry policy from an actively developed vendor is enough. For the subset whose compliance obligations require demonstrable proof rather than a vendor's word, the open-source path is the one that survives an auditor's questions.

**Maturity and longevity — LM Studio leads.** There's a third axis worth naming. Jan is the younger project, and while it's actively maintained — version 0.8.2 shipped on 1 June 2026, with frequent releases on GitHub — it has a smaller team and community behind it than LM Studio. For a tool you intend to standardise across a business and rely on for years, that institutional weight matters. It's reflected in the reviews: LM Studio scored 4/5 on Reliability and Support against Jan's 3/5\. Neither offers a paid support SLA — both are community-supported — so for mission-critical deployment you're weighing ecosystem size and release cadence, not a help-desk contract.

## Which one for your use case

This is a genuine use-case split, not a tie. Here's the rule we'd give a client.

**Pick LM Studio if** you want the easiest possible start, you're not sure your hardware will cope (the model browser will tell you), or you want the broadest ecosystem and the one-click local server for internal tools. For most Australian businesses dipping into private, on-device AI for the first time, this is the default. It's our category Top Pick for exactly this reason: the combination of approachability and zero data exposure.

**Pick Jan if** provable privacy is the actual requirement — a law firm's compliance review, a health practice under the Privacy Act, unreleased financials — and you need open-source, auditable code rather than a stated policy you have to take on trust. Jan is the privacy purist's pick, and you don't sacrifice much usability to get there. A practical tell: if your procurement or compliance team would ask "can we inspect the code?", Jan has an answer and LM Studio doesn't.

There's no harm in installing both — they don't conflict, and they're both free — so a pragmatic approach for a cautious firm is to start staff on LM Studio for the gentle onboarding, then move the genuinely sensitive workloads to Jan once people are comfortable with how local AI feels. The two aren't mutually exclusive; they're different points on the same privacy-first spectrum.

**The honest verdict:** for the typical reader, **LM Studio wins** on the strength of its onboarding and ecosystem — start there. Jan is the better answer for the narrower, important case where "trust us" isn't good enough and you need to verify the code yourself.

**On Australian Fit, they're level.** Both score 5/5, so the Australian Fit gate (Excellent requires Australian Fit ≥ 4/5) is comfortably met by both, and neither is held back by it. The gate doesn't separate these two — the gap between them is ecosystem and polish, not Australian suitability. [See our methodology](https://www.theaidirectory.com.au/methodology/) for how that gate works.

**Honest limitation for both:** an open model running on a laptop won't match the latest frontier cloud model on the hardest reasoning or coding tasks. For drafting, summarising, classifying and private Q&A over your own documents, either tool is more than capable; for the bleeding edge, the cloud still wins. And both demand capable hardware — an underpowered PC will struggle whichever you choose.

## Frequently asked questions

### Which is better for Australians, LM Studio or Jan?

LM Studio for most readers — it scores 23/25 to Jan's 20/25 on the strength of its onboarding and ecosystem, and is our category Top Pick. Pick Jan if provable, auditable privacy is the actual requirement and a stated vendor policy isn't enough.

### Are they free, and do they bill in AUD?

Both are genuinely free, including for commercial use, with no subscription or per-use charge. There's no AUD conversion and no GST question because nothing is billed. The only real cost is hardware — plenty of RAM and a decent GPU to run capable models.

### Do they keep my data in Australia?

Yes — both run AI entirely on your own computer, so nothing is sent to the cloud and the data never travels. There's no cross-border disclosure under the Privacy Act. Both score a clean 5/5 on Australian Fit.

### What's the real difference?

Polish versus provable privacy. LM Studio's model browser tells you if a model will fit before you download, scoring 5/5 on ease of use. Both ship with no telemetry by default, but Jan is open source (Apache 2.0) so its no-collection claim can be audited in the code; LM Studio is closed source.

## Read next

- Full review: [LM Studio Review Australia 2026](https://www.theaidirectory.com.au/review-lm-studio-australia-2026/)
- Full review: [Jan Review Australia 2026](https://www.theaidirectory.com.au/review-jan-australia-2026/)
- Category guide: [Best Local & Private AI Tools in Australia 2026](https://www.theaidirectory.com.au/best-local-offline-private-ai-australia-2026/)

## Sources

1. LM Studio — https://lmstudio.ai/ — Wayback: https://web.archive.org/web/20260607213108/https://lmstudio.ai/ — checked 13 June 2026
2. LM Studio Terms (free for home and work use) — https://lmstudio.ai/terms — Wayback: https://web.archive.org/web/20250328085101/https://lmstudio.ai/terms — checked 13 June 2026
3. LM Studio Privacy (no telemetry by default) — https://lmstudio.ai/app-privacy — Wayback: https://web.archive.org/web/20260607235000/https://lmstudio.ai/app-privacy — checked 13 June 2026
4. Jan — https://jan.ai/ — Wayback: https://web.archive.org/web/20260607213322/https://www.jan.ai/ — checked 13 June 2026
5. Jan Privacy (analytics off by default, opt-in) — https://www.jan.ai/docs/desktop/privacy — Wayback: http://web.archive.org/web/20260601041619/https://www.jan.ai/docs/desktop/privacy — checked 13 June 2026
6. Jan source & releases (Apache 2.0, v0.8.2) — https://github.com/menloresearch/jan — Wayback: http://web.archive.org/web/20251021123628/https://github.com/menloresearch/jan — checked 13 June 2026

---

*The AI Directory Australia is an independent editorial publication. We don't accept payment for positive reviews. Read our* [*Methodology*](https://www.theaidirectory.com.au/methodology/) *and* [*Affiliate Disclosure*](https://www.theaidirectory.com.au/affiliate-disclosure/)*.*

---