# Jan vs WebextLLM

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

| Metric | [Jan](https://openaitools.app/tool/jan) | [WebextLLM](https://openaitools.app/tool/webextllm) |
| :--- | :--- | :--- |
| Website URL | https://jan.ai | https://chromewebstore.google.com/detail/webextllm/chbepdchbogmcmhilpfmijbkfpplgnoh |
| Categories | AI Chatbot, AI Assistant, Open Source AI Models, Large Language Models (LLMs) | Large Language Models (LLMs), AI Browsers, AI Developer Tools, AI API |
| 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 | 4.5 |
| Saved Count | 6 | 0 |
| 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)

## WebextLLM

WebextLLM was created as the first extension to embed large language models inside the browser itself. Rather than forwarding your text to a cloud endpoint, it ships the models with the extension and runs them in an isolated environment, so the only thing needed to start chatting is the browser you already have. That design removes configuration, accounts and API keys from the setup entirely.

The extension doubles as an app platform. Through the window.ai interface, websites and other extensions can request access to the locally hosted model, letting developers build AI features on top of a runtime that lives in the browser. A permission layer shows you which applications are asking for access and lets you grant or deny it, alongside a history of the prompts and responses exchanged with your model.

Because the model runs on your hardware, WebextLLM is free to use, private and effectively unlimited, and it keeps functioning without an internet connection. The developer is candid that it is an experimental proof-of-concept rather than a production tool, and warns that risks such as data loss or system issues are assumed by the user. It is best treated as a hands-on way to explore browser-native AI and the emerging window.ai ecosystem.

**Pricing & Plans:** WebextLLM is completely free. There is no subscription, no token billing and no usage cap, because inference runs on your own hardware. You only need Chrome and enough local resources to run the bundled models.

- **Browser-native local inference:** Large language models are packaged inside the extension and executed in an isolated browser sandbox, so no server, account or API key is required to get started.
- **Private and offline by default:** Every request is served from your own machine, which keeps your prompts and data off third-party servers and lets the tool keep working when you are offline.
- **window.ai app ecosystem:** Websites and extensions can request access to your model through the window.ai interface, turning the browser into a shared AI runtime for web apps.
- **Granular permission control:** You decide which applications are allowed to talk to your model, and you can review the history of prompts and responses made across different apps.
- **No quotas or token fees:** Own the model outright and run as many requests as your hardware allows, with no quotas, throttling or content limits imposed by a provider.

**Strengths:** Completely free with no subscription, tokens or quotas; Runs entirely on-device, so conversations stay private and work offline; Zero configuration, accounts or API keys required; Open window.ai interface lets web apps tap into a browser-native LLM

**Limitations:** Marked as an experimental proof-of-concept and explicitly not recommended for production use; Last updated in October 2023, so it may lag behind current browser AI standards; Limited to a small catalog of bundled models and requires decent local hardware; Small user base, so community support and documentation are thin

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

## Frequently Asked Questions

### How do Jan and WebextLLM compare in monthly traffic?

Jan has 291,894 monthly visits, while WebextLLM 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%; WebextLLM 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. WebextLLM: Free. WebextLLM is completely free. There is no subscription, no token billing and no usage cap, because inference runs on your own hardware. You only need Chrome and enough local resources to run the bundled models.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [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) |
| 2 | [Merlin AI](https://openaitools.app/tool/merlin-ai) | 1,382,634 | +13.1% | Freemium | One-click AI assistant for browsing, writing and research | [.md](https://openaitools.app/tool/merlin-ai.md) |
| 3 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | Self-hosted AI workspace for local and cloud models | [.md](https://openaitools.app/tool/open-webui.md) |
| 4 | [AIPRM](https://openaitools.app/tool/aiprm) | 708,870 | -6.9% | Freemium, Paid | A prompt library and management layer for ChatGPT and other AI models | [.md](https://openaitools.app/tool/aiprm.md) |
| 5 | [Tabbit Browser](https://openaitools.app/tool/tabbit-ai) | 670,981 | -30.2% | Freemium | The agentic AI browser that reads your tabs, files, and screenshots as context | [.md](https://openaitools.app/tool/tabbit-ai.md) |
| 6 | [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) |
| 7 | [AnythingLLM](https://openaitools.app/tool/anythingllm) | 512,269 | +12.9% | Freemium | Own your intelligence: a private AI assistant that runs entirely on your machine | [.md](https://openaitools.app/tool/anythingllm.md) |
| 8 | [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) |
| 9 | [Sigma AI Browser](https://openaitools.app/tool/sigma-ai-browser) | 240,775 | -47.1% | Free | A private Chromium browser with a built-in AI agent and offline LLM | [.md](https://openaitools.app/tool/sigma-ai-browser.md) |
| 10 | [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) |

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Source: https://openaitools.app/compare/jan-vs-webextllm

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)