# Free Alternative to Private LLM

Published January 1, 2026 · Updated August 10, 2026

The best free alternative to Private LLM ($4.99) is LM Studio. Install it with: `brew install --cask lm-studio`.

## Best Free Alternatives to Private LLM for Mac

Private LLM by Numen Technologies is a US$4.99 one-time App Store purchase that runs open-source chat models entirely on-device across iPhone, iPad, and Mac. No account, no subscription, Family Sharing for up to six people, plus Siri/Shortcuts hooks and macOS text services. That is a fair price for a polished Apple-native wrapper, but you do not need to pay it to run local models on a Mac. LM Studio remains free for home and work with a GUI model browser, RAG, and an OpenAI-compatible local server. Ollama (major Apple Silicon MLX performance work through June 2026, plus an $88M raise reported July 2026) is the CLI/API default for developers: `brew install ollama` then `ollama run`. Honest gap: neither free path matches Private LLM's iOS companion, Family Sharing, or one-tap Shortcuts actions. If you need the same offline chat on iPhone and Mac from one purchase, Private LLM still earns its $4.99. If you only live on the desktop, LM Studio or Ollama are strictly better feature-for-dollar at $0.

## Free alternatives

1. [LM Studio](https://bundl.run/apps/lm-studio) — Discover, download, and run local LLMs with a desktop GUI

   `brew install --cask lm-studio`

## Verdict

Pay $4.99 for Private LLM only if you need the same offline assistant on iPhone and Mac with Shortcuts. For Mac-only local chat, LM Studio or Ollama are free and more capable on the desktop. Neither free option inherits Private LLM's OmniQuant model packs, so plan on re-downloading models.

## FAQ

### is there a free version of private llm

No, Private LLM does not offer a free version, it requires a one-time $4.99 purchase on the App Store. There is no trial period or freemium tier. If you want to test local LLM capabilities without spending money, LM Studio provides a completely free alternative with comparable core functionality. The $4.99 price is modest compared to subscription-based AI services, but free alternatives have matured to the point where you can accomplish the same privacy-focused, offline AI chat without any upfront cost.

### can lm studio replace private llm completely

For desktop Mac users, yes. LM Studio can fully replace Private LLM and actually exceeds it in many areas. You get the same offline, privacy-first AI chat experience with better model selection, document chat capabilities, and development features. The only gaps are iOS support (LM Studio has no mobile app) and Siri/Shortcuts integration (requires API workarounds). If you exclusively use local AI on your Mac, LM Studio is not just a replacement, it is an upgrade that happens to be free.

### does lm studio work on apple silicon macs

Yes, LM Studio runs exceptionally well on Apple Silicon Macs with native M1, M2, M3, and M4 support. It uses Apple's MLX framework and Metal GPU acceleration for fast inference. In my testing on an M2 MacBook Pro, token generation speeds were comparable or faster than Private LLM, especially for larger models. The app is optimized for macOS with a native interface that feels at home on the platform. Intel Macs are supported but with reduced performance compared to Apple Silicon.

### is lm studio truly free or are there hidden costs

LM Studio is genuinely free for home and work use with no hidden costs, subscription tiers, or feature restrictions. The company monetizes through enterprise licensing for server deployments and future cloud features, not by limiting the desktop app. You can download unlimited models, use the API server, access all SDK features, and deploy in commercial environments without paying. The only costs you might incur are hardware-related: running large models requires sufficient RAM and storage space for model files.

### how does local llm privacy compare to cloud ai services

Local LLMs like those run by Private LLM and LM Studio offer fundamentally better privacy than cloud AI services. Your prompts, conversations, and data never leave your device or transmit over the internet. There is no telemetry to AI companies, no training data retention, and no possibility of data breaches at remote servers. This makes local LLMs ideal for sensitive workflows, medical discussions, legal analysis, proprietary code review, or personal journaling. The trade-off is you are responsible for your own security: model files and chat history remain on your storage, so full-disk encryption and proper backups are your responsibility.

### can i use my private llm models in lm studio

No, models downloaded through Private LLM use the mlc-llm format and cannot be transferred to LM Studio, which uses GGUF and MLX formats. You will need to download fresh copies of your preferred models within LM Studio. Both apps can run the same underlying open-source models (Llama, Mistral, Qwen, etc.), just in different optimized formats. The re-download is a one-time inconvenience when migrating, but LM Studio's superior model management interface makes future downloads and updates more simple than Private LLM's approach.

### do i need internet to use these apps

No, both Private LLM and LM Studio function completely offline once models are downloaded. The initial model download requires internet access (files range from 1-10GB depending on the model), but after that, all inference happens locally on your Mac. You can disconnect Wi-Fi and continue chatting indefinitely. This offline capability is the core value proposition of both apps, true AI independence from cloud services. The only internet connectivity needed is for optional features like model discovery and updates.

### which app has better performance on mac

Performance varies by model and hardware. Private LLM uses OmniQuant quantization which can deliver faster inference on quantized models. LM Studio uses Apple's MLX framework with Metal GPU acceleration, often producing better speeds for larger models on modern Apple Silicon. In practical use, both are responsive for standard 7B parameter models. For the largest 70B+ models, LM Studio's superior memory management and streaming performance give it an edge. LM Studio also offers more control over context length and batch size for fine-tuning performance. For most users, the difference is negligible; power users will appreciate LM Studio's additional configuration options.

## Sources

- [Private LLM on the App Store](https://apps.apple.com/us/app/private-llm-local-ai-chat/id6448106860)
- [Private LLM site](https://privatellm.app/en)
- [Private LLM FAQ](https://privatellm.app/en/faq)
- [LM Studio](https://lmstudio.ai/)
- [Ollama](https://ollama.com/)
- [Ollama MLX / Gemma 4 performance notes](https://ollama.com/blog/faster-gemma-4-mlx-mtp)
- [Homebrew cask lm-studio](https://formulae.brew.sh/cask/lm-studio)
- [Homebrew ollama](https://formulae.brew.sh/formula/ollama)

## Related

- [LM Studio vs Ollama](https://bundl.run/compare/ollama-vs-lm-studio)
- [LM Studio vs Open WebUI](https://bundl.run/compare/lm-studio-vs-open-webui)

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