Private LLM Review, Pricing & Alternatives (2026)
Private, on-device AI chat for Apple hardware
Last updated: October 26, 2026
What is Private LLM?
Private LLM is a proprietary Apple app for running third-party open-weight language models on iPhone, iPad, and Mac without an account or cloud processing. It suits users who want local conversations and commercial use without message caps. The US App Store listing shows a one-time $4.99 purchase, with models downloaded at no extra charge.
Private LLM is an Apple-only local inference app made by Jeethu Rao and his brother Trao Rao, who describe the project as bootstrapped and built by two EU engineers. Product Hunt records its launch in 2023, while a 2024 Hacker News post describes the offline iOS and macOS app. It runs third-party open-source and open-weight models on iPhone, iPad, and Mac, rather than offering a hosted chatbot service. The current site advertises more than 140 supported models, including Llama 3.3 70B, Qwen3 4B, Phi-4, Gemma 3, and DeepSeek-R1 Distill. The app itself remains proprietary software and is not an open-source Private LLM server.
A typical workflow starts with installing the app, selecting a supported model, and downloading its files to the Apple device. Prompts and replies then run locally, without an account or recurring cloud connection. Conversations remain in local app storage and are not synced or backed up through iCloud. The app supports inference and downloads for third-party models, with performance determined by Apple hardware, available RAM, and model size. The company highlights in-house OmniQuant and GPTQ quantization, attention sinks, sliding-window attention, and model-specific tuning. Private LLM positions itself against Ollama, LM Studio, and other llama.cpp or MLX wrappers, while focusing on a packaged Apple experience rather than a self-hostable server.
Recent releases expanded the supported model catalogue rather than introducing a Private LLM model family. Version 1.9.6, released February 16, 2025, added seven DeepSeek-R1-Distill models and brought Phi-4 to 16GB Apple-Silicon Macs. Version 1.9.7 added eight Dolphin 3.0 models on April 22, followed by Llama medical and survival models, OpenHands 7B, Gemma 3, and uncensored variants in version 1.9.8 on August 25. Version 1.9.9 added Qwen3 4B Instruct 2507, and version 1.9.10 added two Qwen3 4B 2507 variants. Version 1.9.11, dated January 29, 2026, brought minor iOS 26 compatibility fixes.
The US App Store listing shows one purchase at $4.99, with no subscription, free tier, API metering, or enterprise plan. The purchase covers the app across Apple devices through Family Sharing for up to six people. Models download without an additional charge, and the company states that use is unlimited after purchase, with no message or token caps stated. The practical ceiling is device capacity: larger models require more RAM and may run differently across iPhone, iPad, and Mac hardware. Pricing varies by App Store storefront and can change, so the displayed US price is not a permanent global quote.
Private LLM requires Apple hardware, has no hosted API, and cannot provide the managed collaboration or centralized administration found in ChatGPT, Claude, or Le Chat. Ollama and LM Studio offer broader desktop deployment choices and server-oriented workflows, while Private LLM provides a single paid Apple app with Family Sharing and local storage. The app’s commercial-use policy does not change the separate licenses attached to bundled models, and users cannot assume the app or quantized weights are redistributable. It fits Apple users who prioritize local chat, one-time pricing, and offline inference over cross-platform access, hosted teamwork, or an official developer API.
Who is Private LLM best for?
- Apple users who want language models to run without an account or cloud processing.
- People seeking a one-time purchase instead of a recurring chatbot subscription.
- Users who need local conversations for commercial or production work.
- iPhone, iPad, and Mac owners comfortable choosing models based on device RAM.
Private LLM Pricing (2026)
Pricing model: Paid. All prices in USD.
| Plan | Price | What you get |
|---|---|---|
| Private LLM | $4.99 one-time | Unlimited use after purchase; no message or token caps are stated. Models are downloaded at no extra charge, subject to Apple hardware and RAM. |
Pros and Cons
Pros
- Prompts and replies are processed on-device according to the privacy policy.
- One purchase covers the app across Apple devices through Family Sharing.
- The catalogue includes more than 140 third-party models.
- The company states that commercial and production use is unrestricted.
Cons
- The app works only on iPhone, iPad, and Mac.
- Large models are constrained by Apple hardware and available RAM.
- Private LLM itself is proprietary and has no hosted developer API.
Who should look elsewhere?
- Teams needing shared workspaces, centralized administration, or enterprise identity controls.
- Developers seeking a hosted API or metered cloud inference service.
- Users who need Windows, Android, or Linux support.
Technical Details
Frequently Asked Questions
How much does Private LLM cost?
The US App Store listing shows Private LLM at $4.99 as a one-time purchase. There is no subscription, API meter, or enterprise plan listed. Models download without an additional charge. App Store prices vary by region and can change, so the US listing price is a storefront-specific reference rather than a guaranteed price for every buyer.
Does Private LLM have a free tier?
Private LLM does not list a free tier. The app uses one paid App Store purchase, and the company says the purchase provides unlimited use without stated message or token caps. Users still need compatible Apple hardware, and model downloads consume local storage. The purchase does not convert the bundled third-party model licenses into a single universal license.
Is Private LLM better than Ollama?
Private LLM is an Apple app with a one-time purchase, local storage, Family Sharing, and a catalogue of more than 140 supported models. Ollama is a server-oriented local model runner with broader desktop and integration workflows. Private LLM is the closer fit for iPhone, iPad, and Mac users who want a packaged interface; Ollama suits users building local services or command-line workflows.
Does Private LLM send prompts for training?
The privacy policy says prompts and replies are processed on-device and that conversation content is not transmitted. It also says the app has no account, analytics or usage logs, and chats remain in local storage rather than iCloud backup. Network traffic is used for model downloads, and download hosts can see the device IP address.
Can Private LLM be used commercially?
The FAQ says the company imposes no restrictions on use of the app, including commercial and production use. That statement covers app use, not every bundled model. Each third-party model has its own license, so commercial users must review the selected model’s terms before distributing outputs, services, or model files.
Best Private LLM Alternatives in 2026
These tools do the same job as Private LLM, with different pricing, limits and trade-offs.
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