GPT4All vs Ollama vs LM Studio vs Jan
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
GPT4All
Nomic's free offline LLM app, no longer actively developed
Visit
|
Ollama
Run open-weight LLMs locally, with an optional paid cloud
Visit
|
LM Studio
Free local LLM app, now with the Bionic agent and paid cloud tiers
Visit
|
|
|
|---|---|---|---|---|
| RECATOOLS Score | 6.9 / 10 | 8.8 / 10 | 7.8 / 10 | 7.2 / 10 |
| Capability | ||||
| Value for money | ||||
| Ease of use | ||||
| ASEAN readiness | ||||
| API quality | ||||
| Pricing | Open Source | Freemium | Freemium | Open Source |
| Free tier | Free and open source (MIT). No paid edition; Nomic's former GPT4All enterprise page now returns 404 | Free, MIT-licensed local runtime with unmetered local use; free cloud account adds starter usage on starter models, with pay-as-you-go credits for all models | LM Studio app and Bionic Free: local models via llama.cpp/MLX, offline voice transcription, LM Link for up to 5 devices, limited web search. Free for work | Free and open source (Apache 2.0). Local models run offline; cloud connectors use your own provider API keys |
| Paid from | — | Pro $20/mo or $200/yr ($60 usage incl.); Max $100/mo; Team $500/mo; Enterprise custom | From $20/month (Bionic+) | — |
| Has API | ✗ | ✓ | ✓ | ✓ |
| Open source | ✓ | ✓ | ✗ | ✓ |
| Free to use | ✓ | ✓ | ✓ | ✓ |
| Users | — | — | — | — |
| Founded | 2023 | 2023 | 2023 | 2023 |
| Maker | Nomic AI | — | Element Labs, Inc. | Menlo Research Pte. Ltd. |
| Verdict | GPT4All made local LLMs approachable, and it still installs and runs: pull a GGUF model, point LocalDocs at a folder and chat offline with nothing leaving the machine, with GPU acceleration through Vulkan, Metal and CUDA... |
Ollama remains the easiest way to get an open-weight model running locally: one command pulls and serves a model, the API speaks OpenAI and Anthropic formats, and launch commands wire up Claude Code, Codex and OpenCode.... |
LM Studio remains one of the most approachable ways to run open-weight LLMs on your own machine: a Hugging Face model browser, offline chat with document attachments and a local OpenAI-compatible server, all free for hom... |
Jan is what many people mean by ChatGPT on their own laptop. It pulls GGUF models from Hugging Face and runs them offline through a bundled llama.cpp engine (MLX on Apple Silicon), and connectors for OpenAI, Anthropic, G... |
| Full review → | Full review → | Full review → | Full review → |
Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.