Back to Compare
GPT4All vs Jan AI
A side-by-side comparison of pricing, ratings, features, pros and cons.
| Overview | |||
| Description | Free, open-source desktop app for running large language models entirely offline on your own device, with no cloud dependency. | Open-source, privacy-focused desktop AI assistant that runs local models offline or connects to major cloud providers, entirely free. | |
| Category | |||
| Developer | Gpt4all | Jan | |
| Verified Status | |||
| Last Updated | Jul 2026 | Jul 2026 | |
| Pricing | |||
| Pricing Model | Free | Free | |
| Free Plan | Yes | Yes | |
| Open Source | No | No | |
| Capabilities | |||
| Features | • Runs thousands of open-source LLMs fully offline • LocalDocs: chat with your own local files privately • No account, subscription, or API key required • Windows, macOS, Linux, and Windows ARM support • Full data privacy — nothing leaves the device | • Runs local open-source models fully offline • Connects to OpenAI, Claude, Gemini, Llama, Mistral, Qwen, DeepSeek, and more • Fully open-source with public GitHub codebase • Cross-conversation memory (in development) • Free desktop app across multiple operating systems | |
| Tags | gpt4allfreelocallyrunningprivacyaware | offlineopensourcelocal | |
| Trust and Engagement | |||
| Review Count | 0 | 0 | |
| Saves | 0 | 0 | |
| Views | 32 | 7 | |
| Quality Score | 53/100 | 45/100 | |
| Website Status | Online | Online | |
| Availability | |||
| Website | gpt4all.io | jan.ai | |
| Social Links | 3 linked | 3 linked | |
| Screenshots | No | No | |
| Reviews | |||
| Pros | • Free to use • Recommended by our editors | • Free to use | |
Alternatives to Consider
Frequently Asked Questions
Both tools are closely matched on rating — the better fit depends on your specific needs. See the full feature and pricing comparison above.
You can compare up to 4 tools — use "Add Tool" in the table above.
Disclosure: AlverHub may earn a commission if you sign up for a tool through a link on this page, at no additional cost to you. This never affects which tools we list or how we describe them — our recommendations are based on our own research and testing criteria.