TL;DR
Looking for free alternatives to Private LLM? Here are the best open source and free options for Mac.
What is the best free alternative to Private LLM?
The best free alternative to Private LLM ($4.99) is LM Studio. Install it with: brew install --cask lm-studio.
Free Alternative to Private LLM
Save $4.99 with these 1 free alternatives that work great on macOS.
Our Top Pick
Quick Comparison
| App | Price | Open Source | Category |
|---|---|---|---|
| Private LLM | $4.99 | No | — |
| LM Studio | Free | No | Developer Tools |
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.
Detailed Alternative Reviews
LM Studio
Discover, download, and run local LLMs with a desktop GUI
brew install --cask lm-studioLM Studio is still the most approachable free desktop alternative to Private LLM in August 2026. Browse Hugging Face models, chat locally, enable RAG, and spin up an OpenAI-compatible server, no App Store fee. Apple Silicon performance relies on Metal/MLX paths; on an M2/M3 MacBook Pro, 7B, 8B class models feel interactive. It will not give you Private LLM's iOS app or native Shortcuts actions. It also remains proprietary freeware rather than open source, fine for most users, relevant if license purity matters. Install with `brew install --cask lm-studio`.
Key Features:
- Native Apple Silicon support with MLX framework and Metal GPU acceleration
- Built-in RAG for document chatting and knowledge base creation
- Local API server with OpenAI-compatible endpoints for app integrations
- Python and JavaScript SDKs for custom development workflows
- Access to thousands of models from Hugging Face and GGUF repositories
- Multi-model chat comparison with side-by-side responses
- Cross-platform support for Mac, Windows, and Linux
Limitations:
- • No native iOS app for on-the-go AI access (desktop-only)
- • No built-in Siri or Shortcuts integration like Private LLM
- • Heavier resource usage than minimal wrappers, requiring more RAM for larger models
- • No Family Sharing since it is not an App Store purchase
Best for: Mac users who want a capable desktop environment for local AI with advanced features like API access, document chat, and development SDKs without paying for software
Ollama
One-command local LLMs with a stable local API
brew install ollamaOllama is the developer-shaped free alternative. Install once, then `ollama run` pulls and serves models with a localhost API that tooling already expects. June 2026 releases pushed Apple Silicon MLX performance hard (GGUF+MLX paths and Gemma 4 MTP speedups in the 0.30-0.31 window per Ollama's own blog notes). There is no polished chat GUI comparable to Private LLM or LM Studio, pair it with a front-end if you want one. There is also no iOS app. For automation, agents, and CI-friendly local inference on a Mac, Ollama is the default.
Key Features:
- Simple CLI install and model pulls
- Local REST API for app integrations
- Apple Silicon acceleration including MLX-focused 2026 updates
- Broad open-model library (Llama, Gemma, Qwen, Mistral, and more)
- Free local runtime with optional cloud tiers you can ignore
- Homebrew formula: brew install ollama
Limitations:
- • CLI-first; no native iOS companion
- • No built-in Siri/Shortcuts integration like Private LLM
- • GUI users will want a separate chat front-end
- • Model formats differ from Private LLM's mlc-llm packs, re-download required
Best for: Developers and power users who want scriptable local inference and an OpenAI-style local API without paying for Private LLM.
Which Alternative is Right for You?
Privacy-First AI Chat Without Subscriptions
→ LM Studio is the clear winner for users who refuse to pay for AI software. It offers a comparable offline chat experience to Private LLM with a more polished desktop interface and broader model selection. You get the same privacy guarantees, everything runs locally, no data leaves your machine, at zero cost. The trade-off is the lack of iOS companion app, but for Mac-only workflows, LM Studio actually provides more features.
Building Custom AI Applications and Automations
→ LM Studio wins decisively for developers and power users. Its local API server exposes OpenAI-compatible endpoints, meaning you can drop it into existing tools that expect ChatGPT-style APIs. The Python and JavaScript SDKs let you programmatically load models, generate completions, and build custom workflows. Private LLM's Shortcuts integration is clever but limited compared to full API access.
Chatting with Documents and Local Knowledge Bases
→ LM Studio offers built-in RAG (Retrieval-Augmented Generation) that lets you load documents, PDFs, and text files into context for AI-powered analysis. Private LLM lacks this feature entirely, you are limited to general chat without document grounding. For researchers, students, or professionals needing to query their own documents privately, LM Studio provides capabilities that Private LLM simply cannot match.
Cross-Device AI with iPhone and iPad
→ Private LLM holds the advantage here with its universal iOS and macOS app. If you need local AI on your iPhone or iPad, Private LLM is purpose-built for that experience. LM Studio is desktop-only. Consider Private LLM worth the $4.99 if mobile offline AI is essential to your workflow.
Testing Current Open-Source Models
→ LM Studio provides access to thousands of models from Hugging Face and GGUF repositories, often adding support for new releases within hours. Private LLM curates a smaller selection of optimized models, which ensures quality but limits experimentation. If you want to try the latest experimental models from the open-source community, LM Studio's breadth is unbeatable.
Migration Tips
Transferring Your Chat History
Private LLM stores conversations locally on your device. Before switching to LM Studio, export important chats via the share sheet to Notes or Files. LM Studio maintains its own chat history database that cannot import Private LLM exports directly, but you can preserve critical conversations as text files for reference. Consider this a clean slate opportunity to organize your prompts better.
Re-downloading Models
Models downloaded in Private LLM use the mlc-llm format and cannot be transferred to LM Studio, which uses GGUF and MLX formats. You will need to re-download models within LM Studio's interface. On the positive side, LM Studio's model browser is more solid with better organization, search, and filtering. Downloads happen via BitTorrent for popular models, often faster than Private LLM's direct downloads.
Replacing Shortcuts Workflows
If you rely on Private LLM's Shortcuts integration for automation, you will need to rebuild those workflows using LM Studio's API server instead. Enable the local server in LM Studio settings, then use the 'Get Contents of URL' action in Shortcuts to send HTTP requests to localhost:1234. While less convenient than Private LLM's native Shortcuts actions, the API approach is more flexible and works with any automation tool that can make HTTP requests.
Understanding Performance Differences
Both apps use different optimization strategies. Private LLM employs OmniQuant quantization which can produce smaller, faster models at the cost of some accuracy. LM Studio uses Apple's MLX framework with Metal GPU acceleration. On modern Apple Silicon Macs, LM Studio often delivers faster token generation for the same model size. Test both with your preferred models to see which inference engine works better for your specific hardware.
Family Sharing Considerations
Private LLM supports Apple's Family Sharing, meaning one $4.99 purchase covers up to six family members. LM Studio is free but each family member must set it up individually. If you are managing multiple Macs in a household, LM Studio's zero cost eliminates the sharing complexity entirely, everyone can install and configure their own instance without purchase coordination.
Quick comparison
| Feature | Private LLM | LM Studio | Ollama |
|---|---|---|---|
| Price | $4.99 one-time | Free | Free |
| macOS Support | Native (iOS too) | Native | Native |
| Apple Silicon Optimization | OmniQuant quantization | MLX + Metal GPU | Metal + MLX updates |
| Model Support | Curated selection (30+) | Thousands (Hugging Face) | Library pulls |
| Siri Integration | Yes | No | No |
| Local API Server | No | Yes (OpenAI-compatible) | Yes |
| Document Chat / RAG | No | Yes (built-in) | Via apps |
| Development SDKs | Shortcuts only | Python + JavaScript | HTTP API |
| Family Sharing | Yes (App Store) | No | N/A |
| Offline Use | Full | Full | Full |
The verdict
LM Studio
Free desktop GUI with a model browser, RAG, and a local API. It covers Private LLM's Mac chat use case without the $4.99 fee.
Full reviewOllama
Best free developer runtime after the 2026 Apple Silicon MLX performance work; pair with any chat UI when you outgrow the CLI.
Bottom line
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.
Frequently Asked Questions
Related Technologies & Concepts
Sources & References
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- 6Ollama MLX / Gemma 4 performance notes
Accessed Aug 9, 2026
"June 2026 Apple Silicon performance updates."
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About the Author
Senior Developer Tools Specialist
Alex Chen has been evaluating developer tools and productivity software for over 12 years, with deep expertise in code editors, terminal emulators, and development environments. As a former software engineer at several Bay Area startups, Alex brings hands-on experience with the real-world workflows these tools are meant to enhance.