# Jan vs Qoder

Jan records 291,894 monthly visits with -9.6% month-over-month growth and Free pricing. Qoder records 5,145,040 monthly visits with +81.8% growth and Freemium, Free Trial, Free pricing.

| Metric | [Jan](https://openaitools.app/tool/jan) | [Qoder](https://openaitools.app/tool/qoder) |
| :--- | :--- | :--- |
| Website URL | https://jan.ai | https://qoder.com |
| Categories | AI Chatbot, AI Assistant, Open Source AI Models, Large Language Models (LLMs) | AI Code Assistant, AI Agent, AI Developer Tools, AI Code Generator |
| Pricing Model | Free | Freemium, Free Trial, Free |
| Monthly Visits | 291,894 | 5,145,040 |
| MoM Growth Rate | -9.6% | +81.8% |
| Primary Market | United States | China |
| Direct Visits | 105,615 | 2,533,668 |
| Review Score | 4.6 | 4.6 |
| Saved Count | 6 | 4 |
| Supported Platforms | Website | Website |

## 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)

## Qoder

Qoder is an agentic coding platform built for real software engineering rather than isolated code snippets. Its family of products covers an AI-native desktop IDE, plugins for VS Code and JetBrains, a CLI for terminal-first developers, and a mobile app for monitoring agents on the go. The pitch is simple: bring an idea, and Qoder's agents plan, edit across files, run checks and hand back working code.

The platform leans heavily on context. Qoder indexes and reasons over your entire repository so that suggestions, refactors and new features respect existing architecture, conventions and dependencies. Developers can work in different modes — inline completion for small edits, conversational chat for collaborative changes, and an autonomous agent mode for delegating larger tasks with approval gates. Spec-driven development and a knowledge/base-context layer help keep long-running tasks aligned with the actual project.

Qoder is also extensible. An Agent SDK lets teams embed Qoder's agent capabilities into their own products, while Cloud Agents APIs support building productised, server-side agent flows. With generous free access for individuals and paid tiers for teams, Qoder targets the growing market of developers who want agentic help without abandoning their existing tools or editor.

**Pricing & Plans:** Freemium with a free plan and a free trial for individuals; paid Pro and team/business tiers unlock higher usage limits, advanced agent models and enterprise features. Exact prices are listed on Qoder's pricing page.

- **Agentic IDE:** An AI-native desktop IDE where agents read the codebase, plan multi-step work and complete tasks across many files.
- **Coding agent modes:** Switch between autocomplete for quick edits, chat for collaborative coding, and an autonomous agent for delegated tasks with approval controls.
- **Codebase awareness:** Repository-wide indexing and context engineering keep changes aligned with your architecture, style and dependencies.
- **Works where you work:** Plugins for VS Code and JetBrains, a terminal CLI, and a mobile app for monitoring and approving agents remotely.
- **Agent SDK and Cloud Agents:** Embed Qoder's agent capabilities into your own products via the Agent SDK, or build managed agent services with Cloud Agents APIs.

**Strengths:** Full product family: IDE, plugins, CLI and mobile in one agentic platform; Strong codebase context and spec-driven workflows for real projects; Agent SDK and Cloud Agents APIs for building your own agent products; Free tier makes it easy to evaluate before committing

**Limitations:** Agentic coding needs careful review of diffs before merging; Advanced limits and enterprise features require paid plans; Full value depends on adopting Qoder's IDE or plugins into your workflow

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

## Frequently Asked Questions

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

Jan has 291,894 monthly visits, while Qoder has 5,145,040. 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%; Qoder has +81.8%.

### 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. Qoder: Freemium, Free Trial, Free. Freemium with a free plan and a free trial for individuals; paid Pro and team/business tiers unlock higher usage limits, advanced agent models and enterprise features. Exact prices are listed on Qoder's pricing page.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | Provides a deeply integrated AI-native IDE experience for multi-file code editing, but lacks Qoder's standalone agentic orchestration. | [.md](https://openaitools.app/tool/cursor.md) |
| 2 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Orchestrates parallel coding agents across an IDE and CLI ecosystem, but operates within Google's specialized development stack. | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 3 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Describe your idea and Replit builds a working app in minutes | [.md](https://openaitools.app/tool/replit.md) |
| 4 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Provides a lightweight command-line runtime for local LLMs, though it lacks Jan's built-in graphical user interface. | [.md](https://openaitools.app/tool/ollama.md) |
| 5 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | Focuses on spec-driven AI development workflows inside an IDE, but is tailored tightly around AWS engineering paradigms. | [.md](https://openaitools.app/tool/kiro.md) |
| 6 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Offers fully autonomous multi-file software engineering in cloud sandboxes, but operates as a separate web platform rather than an IDE plugin. | [.md](https://openaitools.app/tool/devin.md) |
| 7 | [Pi Coding Agent](https://openaitools.app/tool/pi-coding-agent) | 1,929,244 | +4% | Free | A minimal, extensible terminal coding agent you can reshape | [.md](https://openaitools.app/tool/pi-coding-agent.md) |
| 8 | [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) |
| 9 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | Features seamless multi-file project understanding and codebase editing inside an AI-driven IDE, though with slightly different agent customization options. | [.md](https://openaitools.app/tool/trae.md) |
| 10 | [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) |

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

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