Best for
Best for developers and privacy-minded teams who want a desktop assistant whose default model runs locally, with cloud providers optional.
- Freelancers
- Small and mid-sized
- Enterprise
AI Chatbots & Assistants Comparison
Jan vs. LM Studio
At a glance
At a glance
Best for
Best for developers and privacy-conscious teams who want a desktop app for open models plus a local OpenAI-compatible endpoint.
- Freelancers
- Small and mid-sized
- Enterprise
Cataleo does not name a winner. Both statements come from the vendors themselves.
Full Comparison
| Criterion | Jan | LM Studio |
|---|---|---|
| Starting price | Free and open source The desktop app is free under the Apache 2.0 licence and local models cost nothing beyond the hardware they run on. Cloud models are billed by whichever provider you connect, against your own API key. | Free for local models; Bionic+ $20 / month The free plan runs local models and the Bionic agent with LM Link for up to five devices and limited web search. Bionic+ at $20 per month adds US-hosted open models and web search with page extraction; Pro at $100 per month raises the included usage fivefold. Cloud credits cover usage beyond a plan's allowance. |
| Free trial | Free and open source; local models run with no API key | Free plan for local models, no time limit |
| Output | A desktop AI assistant answering from local or cloud models | Not stated |
| API | Yes, a built-in OpenAI-compatible server on port 1337, powered by llama.cpp | Yes, a local server on OpenAI-compatible endpoints with Python and TypeScript SDKs, plus the lms command line |
| Hosting | Runs on macOS, Windows and Linux; Tokamak is self-hosted for teams, and cloud models run on the provider you connect | Runs locally on macOS, Windows and Linux; optional cloud models are US-hosted with zero data retention |
| Ecosystem | Desktop app for macOS, Windows and Linux, with Jan Agent as a separate command-line agent and Tokamak as a self-hosted router carrying policy controls and audit trails for organisations. MCP servers attach under Settings, and documented integrations cover Claude Code and OpenClaw | Desktop app for Apple Silicon Macs, x64 and ARM64 Windows and x64 Linux, plus the lms command line, a headless llmster mode for servers and LM Link across up to five devices on the free plan |
| Live web search and sources | Yes, built in and on by default: web_search and web_fetch are advertised to any model that supports tool use, with a keyless Exa endpoint as the default provider, so no API key and no MCP server are needed. Only tool-capable models see the tools | Limited web search on the free plan; web search with page extraction on Bionic+ and Pro, under zero data retention |
| Files and long documents | Yes, files attach to a single message, or go into a Project where they are chunked and indexed for retrieval across every conversation in it. PDF, Markdown, DOCX, XLSX, PPTX and code files are supported, and processing happens on the machine | Yes, documents attached to a chat message can be queried entirely offline, which the app calls RAG |
| Images, voice and video | Images and audio attach to a chat when the active model can take them: the image option appears only with a vision-capable model such as Jan-v2-VL, and audio accepts WAV and MP3 | Images can be sent to vision-capable models through the chat completions endpoint, and offline voice transcription runs on the machine |
| Coding help | Jan-Code-4B is available in the Hub for local coding, and Jan Agent runs coding tasks in a terminal with subagents, skills and memory, asking for confirmation before each write and shell command. It is a preview shipped on a nightly channel | Yes, the Bionic agent works on code as well as documents, slides and PDFs, with an Auto Review step that parses shell commands before running them |
| Model choice | Yes, and both kinds mix in the same app: local models through llama.cpp and MLX from the Hub, or cloud models from Anthropic, OpenAI, Azure OpenAI, Gemini, Groq, Mistral AI, OpenRouter and Hugging Face, plus any OpenAI- or Anthropic-compatible endpoint | Yes, and it is the point: any llama.cpp (GGUF) or MLX model searched and downloaded from Hugging Face in the app, with US-hosted open models such as Kimi K3, GLM 5.3 and DeepSeek V4 Flash on the paid plans |
| MCP-ready | No | stated Yes |
| Deployment | On-premise | more entries Cloud (SaaS), On-premise |
| Support | Community forum | Community forum |
| Onboarding | Documentation and knowledge base | Documentation and knowledge base |
| Company size | Freelancers, Small and mid-sized, Enterprise | Freelancers, Small and mid-sized, Enterprise |
| Integrations | more entries OpenAI, Anthropic, Google Gemini, Azure OpenAI, Groq, Mistral AI, OpenRouter, Hugging Face, llama.cpp, MLX, Model Context Protocol, Claude Code, OpenClaw, Exa | Hugging Face, llama.cpp, MLX, Model Context Protocol |
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The short version
Key Differences
- Starting price Jan Free and open source LM Studio Free for local models; Bionic+ $20 / month
- Free trial Jan Free and open source; local models run with no API key LM Studio Free plan for local models, no time limit
- Deployment Jan On-premise LM Studio Cloud (SaaS), On-premise
- Hosting Jan Runs on macOS, Windows and Linux; Tokamak is self-hosted for teams, and cloud models run on the provider you connect LM Studio Runs locally on macOS, Windows and Linux; optional cloud models are US-hosted with zero data retention
- MCP-ready Jan No LM Studio Yes
Every line is one datapoint from the table above, picked automatically. Nothing here is written text.
The trade-offs
Strengths and Limitations
Jan
Strengths
- Local models are the default: no account, no API key and nothing leaves the machine
- Web search and page fetching work out of the box, keyless, with no provider to configure
- Its own OpenAI-compatible local server, so other applications can call the models it runs
- Wide model choice, from llama.cpp and MLX locally to eight cloud providers and any compatible endpoint
- Open source under the Apache 2.0 licence
Limitations
- Desktop only: installers cover macOS, Windows and Linux, and there is no hosted version
- Jan Agent is a preview distributed on a nightly channel rather than a stable release
- Frontier models still need a third-party key and are billed by that provider
- Answer quality from local models depends on the hardware you have
- Memory is announced as coming soon and Cowork is marked preview
LM Studio
Strengths
- Downloading, running and chatting with open models happens in one desktop app, with no terminal needed
- Free for local use, including at work: no commercial licence is required
- A local OpenAI-compatible server makes existing code work against a local model unchanged
- Runs on Apple Silicon, Windows and Linux, with MLX used on Apple Silicon
- Acts as an MCP client, so MCP servers can be used with local models
Limitations
- Answer quality is bounded by the models the local hardware can run
- The hosted open models and fuller web search need a paid plan
- Team subscription plans are not available yet, only shared billing through an organisation
- Cloud usage beyond a plan's allowance is billed as credits, so the monthly cost varies with use
Plans
Pricing
Jan
- Free $0 The whole desktop app under the Apache 2.0 licence. Local models run on your own hardware; cloud models are billed by the provider whose key you add.
LM Studio
- Free $0 Local models through llama.cpp and MLX, the Bionic agent, offline voice transcription, LM Link for up to five devices and limited web search.
- Bionic+ $20 / month Everything in Free plus US-hosted open source models, discounted bulk tokens and web search with page extraction.
- Pro $100 / month Everything in Bionic+ plus five times the usage limits and early access to new features.
What users say
Review Scores · opens after launch
Jan
- Ease of use
- Not rated yet
- User interface
- Not rated yet
- Onboarding
- Not rated yet
- Support and service
- Not rated yet
- Value for money
- Not rated yet
- Features
- Not rated yet
No reviews yet. Be the first to review this tool. Every review is checked for fairness before it appears, and the vendor cannot have one removed.
LM Studio
- Ease of use
- Not rated yet
- User interface
- Not rated yet
- Onboarding
- Not rated yet
- Support and service
- Not rated yet
- Value for money
- Not rated yet
- Features
- Not rated yet
No reviews yet. Be the first to review this tool. Every review is checked for fairness before it appears, and the vendor cannot have one removed.
Where this comes from
Where this comes from
Jan https://jan.ai · checked against the official source on 2026-09-15
LM Studio https://lmstudio.ai · checked against the official source on 2026-09-12
This table lists factual criteria taken from information the vendors publish themselves. For how we put it together, see the methodology.