Ollama vs LM Studio, Jan and GPT4All: Free AI Compared (2026)

Ollama is the most popular way to run AI locally, but LM Studio is easier for beginners and Jan is genuinely offline by default. The tool most guides still recommend, GPT4All, has not had a release since February 2025. And for most people the honest first answer is not a local tool at all: it is the free tier of ChatGPT, Claude or Gemini.

Key takeaways

• Ollama (179,900 stars) now ships an official desktop app, so the old advice to install Docker and Open WebUI is out of date.
• LM Studio is the friendliest GUI and is free for commercial use since July 2025, but it dropped Intel Mac support.
• GPT4All appears stalled: last release v3.10.0 in February 2025, roughly 19 months ago.
• Jan (44,300 stars, Apache-2.0) runs fully offline and is the cleanest privacy option.
• Free cloud tiers use frontier-quality models with no setup, and beat every local option for casual use.

The local options compared

Verified via the GitHub API in September 2026.

Ollama: the default, and it changed

The most important update is that Ollama now ships an official desktop application for macOS and Windows with a built-in chat interface. Most guides still tell you to install Docker and set up Open WebUI to get a usable interface. That advice is obsolete.

Ollama's strengths are its enormous model library, active development, and the fact that almost every other tool integrates with it. Models unload from memory after five minutes idle, so it does not permanently consume RAM.

One caution: Ollama now sells cloud plans at $20 and $100 a month. Selecting a cloud model sends your prompts to their servers, which defeats the privacy reason most people install it. Check whether a model is local before using it for anything sensitive.

LM Studio: the easiest start

If you have never run a local model, LM Studio is the gentlest entry. It has a polished interface for browsing, downloading and chatting with models, with no command line at any point.

Two things matter about it. First, it became free for commercial and work use in July 2025, with no form to fill in, which removed its main drawback. Second, it is closed source, unlike everything else here, which matters if you specifically want auditable software.

The significant limitation: LM Studio requires Apple Silicon on Mac and no longer supports Intel Macs. It needs macOS 14 or later, and AVX2 on Windows and Linux. Official guidance is 16GB of RAM recommended with 4GB or more of video memory.

Jan: the offline-first option

Jan (44,300 stars, Apache-2.0) markets itself as running 100% offline, and that framing is its main appeal. It supports Windows 10+, macOS 13.6+ and Linux, with a clean desktop interface comparable to LM Studio's.

It can also connect to cloud APIs if you want, but the default posture is local and private. For anyone whose primary motivation is privacy rather than experimentation, Jan is a strong and often overlooked choice.

The one to avoid

GPT4All has 77,400 stars and is recommended in a great many beginner guides. Its last release was v3.10.0 in February 2025, roughly 19 months before this article. An issue titled "Is GPT4all dead?" has sat open since August 2025 with no maintainer response.

It is MIT licensed and the code remains available, but a local AI tool that has not shipped in 19 months has missed an enormous amount of model progress. Some sources claim 2026 features for it; those claims are contradicted by its own releases page.

If a guide recommends GPT4All as a current option, that is a useful signal about how recently the guide was checked.

LocalAI and llama.cpp

LocalAI (48,800 stars, MIT) is different in kind: it provides an OpenAI-compatible API, so software written for OpenAI can point at your own machine instead. It includes a web interface and runs without a GPU. For developers replacing a paid API, it is the natural choice; for a beginner who wants a chat window, it is more than needed.

llama.cpp (126,700 stars, MIT) is the C/C++ engine much of this ecosystem is built on, including the GGUF quantisation format that makes large models fit on small machines. It has a basic built-in web UI, but it is a foundation rather than a product. Use it if you want maximum control and are comfortable in a terminal.

The option most articles skip

Before installing anything, the honest recommendation for most people is a free cloud tier.

ChatGPT Free provides unlimited text chats with the current model subject to abuse guardrails, plus limited uploads, image generation and voice. Claude and Gemini offer comparable free access. These run frontier-quality models, need no downloads, no hardware and no configuration.

Note that Anthropic explicitly declines to publish message counts, stating limits vary by conversation length, complexity and model. Any specific "40 messages a day" figure you see elsewhere is unverified.

Local AI makes sense for privacy, unlimited use and offline access. If none of those is your actual reason, a free cloud tier is better and simpler.

Which should you choose?

Choose LM Studio if you are new to this and want the smoothest experience, and you are on Apple Silicon or Windows.

Choose Ollama if you want the largest model selection, the most active development, and compatibility with other tools. The desktop app removed its old learning curve.

Choose Jan if offline privacy is your primary motivation and you want an open-source, Apache-licensed option.

Choose LocalAI if you are replacing an OpenAI API in existing software.

Choose llama.cpp if you want maximum control and performance tuning.

Skip GPT4All until it ships again.

For hardware requirements and setup, read how to run AI locally with Ollama. For how local compares to subscriptions, see local AI versus ChatGPT Plus and Claude Pro.

The verdict

Ollama and LM Studio are both excellent, and the choice between them is mostly about whether you prefer a polished closed-source GUI or an open-source tool with a bigger ecosystem. Jan deserves more attention than it gets for privacy-first users.

The wider point is that this field moves fast enough that recommendations rot quickly. A guide still telling you to install Docker for a chat interface, or recommending GPT4All, is describing 2024. Check when advice was written before following it, including this article.

Related reading: Notion AI versus ChatGPT and best free AI writing tools.