TL;DR

Looking for free alternatives to Private LLM? Here are the best open source and free options for Mac.

PublishedJanuary 1, 2026•UpdatedAugust 10, 2026

What is the best free alternative to Private LLM?

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

Free Alternative to Private LLM

Save $4.99 with these 1 free alternatives that work great on macOS.

Private LLM ($4.99)

FREE alternatives below

Our Top Pick

LM Studio

FREE

Discover, download, and run local LLMs with a desktop GUI

brew install --cask lm-studio

View Details Official Website

Why we recommend it:

Completely free to use
Easy one-command installation

Quick Comparison

Comparison of Private LLM and free alternatives
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-studio

LM 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 --cask ollama-app

Ollama 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

Top pick

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 review

Runner-up

Ollama

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

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.

Related Technologies & Concepts

Private LLMLM StudioOllamaNumen TechnologiesLocal LLMOmniQuantMLX FrameworkRAGOffline AIApple Silicon

Sources & References

1
apps.apple.comPrivate LLM on the App Store
Accessed Aug 9, 2026
Source excerpt
US listing commonly $4.99 one-time.
2
privatellm.appPrivate LLM site
Accessed Aug 9, 2026
Source excerpt
One purchase, no subscription, Family Sharing.
3
privatellm.appPrivate LLM FAQ
Accessed Aug 9, 2026
Source excerpt
Offline on-device positioning.
4
lmstudio.aiLM Studio
Accessed Aug 9, 2026
Source excerpt
Free local LLM desktop app.
5
ollama.comOllama
Accessed Aug 9, 2026
Source excerpt
Local LLM runtime and model library.
6
ollama.comOllama MLX / Gemma 4 performance notes
Accessed Aug 9, 2026
Source excerpt
June 2026 Apple Silicon performance updates.
7
formulae.brew.shHomebrew cask lm-studio
Accessed Aug 9, 2026
Source excerpt
brew install --cask lm-studio.
8
formulae.brew.shHomebrew ollama
Accessed Aug 9, 2026
Source excerpt
brew install ollama.

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About the Author

Alex Chen

Senior Developer Tools Specialist

Code Editors & IDEsTerminal EmulatorsVersion Control Tools

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.

12+ years in software development · Former senior engineer at tech startups