# Jan vs Window AI

Jan records 291,894 monthly visits with -9.6% month-over-month growth and Free pricing. Window AI records 0 monthly visits with — growth and Free pricing.

| Metric | [Jan](https://openaitools.app/tool/jan) | [Window AI](https://openaitools.app/tool/window-ai) |
| :--- | :--- | :--- |
| Website URL | https://jan.ai | https://chromewebstore.google.com/detail/window-ai/cbhbgmdpcoelfdoihppookkijpmgahag |
| Categories | AI Chatbot, AI Assistant, Open Source AI Models, Large Language Models (LLMs) | AI API, AI Models, AI Developer Tools, AI Text Generator |
| Pricing Model | Free | Free |
| Monthly Visits | 291,894 | 0 |
| MoM Growth Rate | -9.6% | — |
| Primary Market | United States | Global |
| Direct Visits | 105,615 | 0 |
| Review Score | 4.6 | 1.8 |
| Saved Count | 6 | 1 |
| Supported Platforms | Website | Browser Extension |

## Jan

Jan is a desktop application that positions itself as an open replacement for ChatGPT, with the key difference that inference happens on hardware you control. After installing the app you pick a model, and Jan downloads and runs it locally, so prompts, chat history, and files stay on your machine rather than on someone else's server. For heavier workloads you can connect an OpenAI, Anthropic, Gemini, or Mistral key and route requests to the cloud while keeping the same chat interface and local history.

The project is developed in the open by Menlo Research and has accumulated tens of thousands of GitHub stars along with millions of downloads. It exposes OpenAI-compatible local endpoints, which means existing tooling and SDKs can point at Jan instead of a hosted service, and it supports custom assistants with their own instructions and model choices. Recent releases have added an agent surface alongside the classic desktop chat, and a memory feature is announced as coming to carry context and preferences between sessions.

Because it is open source, Jan can be audited, self-built, and extended, and there is no paid tier gating the desktop client. The practical tradeoff is that local model quality and speed depend entirely on your own GPU or CPU, so lighter machines will favor smaller quantized models while cloud keys remain the escape hatch for harder tasks.

**Pricing & Plans:** Jan is free and open source, with no paid tier for the desktop app. Costs only appear if you optionally connect your own paid cloud API keys for providers such as OpenAI or Anthropic.

- **Local-first inference:** Download and run open models such as Llama, Mistral, Qwen, Gemma, and DeepSeek directly on your own machine, with chat data kept on device.
- **Bring your own cloud models:** Optionally connect API keys for OpenAI, Anthropic, Gemini, Mistral, and other providers to route requests to frontier models from the same interface.
- **OpenAI-compatible local API:** Jan exposes a local server endpoint that follows the OpenAI API shape, so existing SDKs and tools can talk to your local models without code changes.
- **Custom assistants:** Create assistants with their own system instructions, model selection, and parameters, then reuse them across conversations.
- **Open source and extensible:** The full desktop client and agent code are public on GitHub, so you can audit behavior, build your own version, and contribute improvements.

**Strengths:** Completely free and open source, with no account required to run local models; Conversation data stays on your device by default; Works across macOS, Windows, and Linux with an OpenAI-compatible local endpoint; Optional cloud key support lets you mix local and frontier models in one app

**Limitations:** Local model quality and speed are capped by your own hardware; Very large models may need substantial RAM or VRAM to be practical; Some cloud-connected and memory features are newer or still rolling out

[Profile (Markdown)](https://openaitools.app/tool/jan.md)

## Window AI

Window AI takes the position that the model choice should belong to the user, not the website. You install the extension, add the providers you already pay for or run locally, and from then on any compatible site can ask for permission to send a prompt to the model you picked. The extension shows you the request and lets you approve or deny it, which keeps a visible record of where your text is going.

For end users the appeal is portability: set up a local Llama or GPT4All runtime, a Claude key and a GPT-4 key once, and switch between them everywhere. For developers the appeal is different. Instead of paying for and rate-limiting a shared API key, an app can ask the user's browser for a model, which removes a large part of the backend cost and lets users try an app for free with their own credentials. Supported text models at release included GPT-3.5 and GPT-4, PaLM 2 Chat and Code Chat, Claude and Claude Instant, Together's GPT-NeoXT-20B and Cohere Xlarge, plus the open local runtimes, with OpenAI's Shape-E covering early text-to-3D generation.

The extension is free and carries no subscription. Its published build dates from July 2023, so it sits in the early wave of model-agnostic tooling rather than at the cutting edge of today's model landscape; the provider list reflects that era. It remains installable and useful, particularly as an illustration of the bring-your-own-model pattern that later appeared in many AI developer platforms.

**Pricing & Plans:** Free to install and use. You cover only the costs of whichever model provider you connect; local models are free beyond your own hardware. No subscription is sold for the extension itself.

- **Bring your own model:** Configure your models and credentials once inside the extension, then use them on every compatible site without re-entering keys.
- **Cloud and local inference:** Point the extension at hosted providers or at a local runtime such as GPT4All or Llama, keeping prompts on your own machine when privacy matters.
- **Per-site permission prompts:** Compatible apps ask for explicit permission before a prompt is sent, and you can see exactly what is being asked and when.
- **Model-agnostic API for builders:** Developers get a single integration path across OpenAI, Google, Anthropic, Together, Cohere and local runtimes instead of wiring up each API separately.

**Strengths:** One configuration covers every site built on the standard; Supports hosted and local models in the same interface; Explicit permission prompts keep you aware of what is sent where; No extension subscription cost

**Limitations:** No longer actively updated, with the last release from mid-2023; Model list reflects 2023 providers and omits newer frontier models; Adoption depends on developers building against the standard

[Profile (Markdown)](https://openaitools.app/tool/window-ai.md)

## Frequently Asked Questions

### How do Jan and Window AI compare in monthly traffic?

Jan has 291,894 monthly visits, while Window AI has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Jan has a month-over-month growth rate of -9.6%; Window AI has —.

### How does pricing compare?

Jan: Free. Jan is free and open source, with no paid tier for the desktop app. Costs only appear if you optionally connect your own paid cloud API keys for providers such as OpenAI or Anthropic. Window AI: Free. Free to install and use. You cover only the costs of whichever model provider you connect; local models are free beyond your own hardware. No subscription is sold for the extension itself.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Tripo AI](https://openaitools.app/tool/tripo-ai) | 25,209,679 | +73.2% | Freemium | Create 3D models from text and images in seconds | [.md](https://openaitools.app/tool/tripo-ai.md) |
| 2 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Run and build with open AI models locally or in the cloud | [.md](https://openaitools.app/tool/ollama.md) |
| 3 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | Offers a powerful self-hosted web interface for local models, but requires manual Docker setup rather than desktop installation. | [.md](https://openaitools.app/tool/open-webui.md) |
| 4 | [Chatbox](https://openaitools.app/tool/chatbox) | 567,170 | -16.1% | Freemium | One privacy-first AI client for GPT, Claude, Gemini and more | [.md](https://openaitools.app/tool/chatbox.md) |
| 5 | [HARPA AI](https://openaitools.app/tool/harpa-ai) | 537,461 | +99.3% | Freemium | One browser agent that combines every major AI model with web automation | [.md](https://openaitools.app/tool/harpa-ai.md) |
| 6 | [AnythingLLM](https://openaitools.app/tool/anythingllm) | 512,269 | +12.9% | Freemium | Specializes in document chat and local RAG workflows, though less focused on general-purpose model tinkering than Jan. | [.md](https://openaitools.app/tool/anythingllm.md) |
| 7 | [LibreChat](https://openaitools.app/tool/librechat) | 346,879 | -3.5% | Free | Unites multiple AI providers in a customizable open-source platform, but is typically deployed as a web server. | [.md](https://openaitools.app/tool/librechat.md) |
| 8 | [CanIRun.ai](https://openaitools.app/tool/canirun-ai) | 284,892 | -20.1% | Free | Check which local AI models your GPU or Mac can actually run | [.md](https://openaitools.app/tool/canirun-ai.md) |
| 9 | [Dyad](https://openaitools.app/tool/dyad) | 207,981 | +3.5% | Freemium | Free, open-source AI app builder that runs on your own machine | [.md](https://openaitools.app/tool/dyad.md) |
| 10 | [CodeGPT](https://openaitools.app/tool/code-gpt) | 170,064 | -19% | Freemium, Paid, Contact for Pricing | AI coding agent for VS Code, JetBrains and Visual Studio with bring-your-own-key model freedom | [.md](https://openaitools.app/tool/code-gpt.md) |

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Source: https://openaitools.app/compare/jan-vs-window-ai

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