The best offline AI app for iPhone in 2026 is Cloaked for most users — it supports 15+ models via Apple’s MLX framework, has no accounts or analytics, and works in full airplane mode. For developers who want scripting and customization, LM Studio is worth considering. For a simple single-model experience, Mistral’s official app is a clean option.
Running AI locally on an iPhone has moved from niche experiment to practical reality over the past two years. Apple’s MLX framework, combined with well-quantized open-source models, means a modern iPhone can run a capable language model entirely on-device at speeds that feel responsive. The iPhone 16 Pro series can generate 20+ tokens per second with a 4B model — fast enough that the experience feels like a real assistant, not a slow demo.
The question now isn’t whether offline AI works. It’s which app to use.
This comparison covers the apps worth considering in 2026, what each one does well, where each falls short, and how to make the right call for your situation.
What Makes a Good Offline AI App
Before the specific apps, it’s worth establishing what actually matters.
Model selection. Offline apps ship the inference engine; you download the models separately. An app with a wider model library gives you more choices to match the right model to your use case. More models also means you can try a smaller fast model for quick questions and a larger capable model for deeper work.
Inference performance. The same model can run at meaningfully different speeds depending on how well the app implements the underlying inference. Good apps use platform-native frameworks (Apple MLX on iPhone) and optimize for the hardware. Poor implementations leave significant performance on the table.
Privacy architecture. The whole point of running AI offline is keeping data local. An offline AI app that still phones home with analytics, crash data, or usage statistics partially defeats the purpose. Look at what data the app actually transmits — not just what the model does, but what the app wrapper does.
User experience. Offline AI should be as easy to use as cloud AI. If an app requires technical setup steps or has a confusing model management interface, that friction discourages the kind of habitual use that makes an AI assistant actually useful.
Features beyond chat. Voice input, text-to-speech, conversation organization, persistent context, web search integration — these features determine whether an app is a real assistant or just a demo.
The Apps
Cloaked
Best for: Most iPhone users who want private, capable offline AI
Cloaked is built from the ground up for on-device AI on iPhone. It runs 15+ open-source models using Apple’s MLX framework, which is the fastest available path to inference on Apple Silicon. There are no accounts, no sign-up, no API keys, and no analytics — the app transmits nothing except optional DuckDuckGo search queries if you choose to use the web search feature.
Supported models include: Llama 3.2 1B and 3B (Meta), Gemma 3 4B (Google), Phi-4 Mini (Microsoft), Qwen 2.5 0.5B and 3B (Alibaba), DeepSeek R1 1.5B, Mistral 7B, SmolLM2 1.7B (Hugging Face), and others.
Standout features:
- Projects — Separate conversation spaces with custom system prompts. Set persistent context for specific use cases (coding assistant, writing editor, language practice partner) without re-explaining it every session.
- Persistent memory — Conversations and context carry across sessions, stored locally. The model remembers what you’ve discussed in a project.
- Voice input and output — Both use on-device speech recognition and synthesis. Fully offline.
- Web search — Optional DuckDuckGo integration for when you want current information. The AI core doesn’t require it.
- Markdown rendering — Syntax-highlighted code blocks, formatted lists, headers. Responses look clean, not raw text.
- Siri Shortcuts — Trigger Cloaked actions from other apps or automations.
What to keep in mind: Because it prioritizes privacy absolutely, there’s no account-linked sync across devices. Conversations stay on the device they were created on.
Privacy rating: Excellent. Architectural guarantee — nothing is transmitted because there is no transmission path in the code.
LM Studio (iPhone/iPad)
Best for: Developers and technically-inclined users who want maximum control
LM Studio, originally a desktop application for running LLMs locally on Mac and PC, expanded to iPhone. It’s more of a model runner and experimentation platform than a polished consumer app — but that’s exactly what some users want.
The model library is broad, with support for GGUF and MLX format models from HuggingFace. The interface exposes more technical controls: context window size, temperature, top-p, system prompt editing. There’s an API server mode that lets you point local scripts or apps at the running model.
What LM Studio does well:
- Wide model compatibility
- Detailed inference controls
- Developer-friendly API exposure
- Active community with good model recommendations
Where it falls short:
- The UX is noticeably more technical than consumer apps
- Voice input and output aren’t as integrated
- The app has a more complex setup flow
- Analytics and telemetry settings require manual attention
For a developer who wants to experiment with many models and doesn’t mind a technical interface, LM Studio is a strong option. For a non-technical user who wants offline AI to just work, the experience gap compared to Cloaked is real.
Mistral’s Official App (Le Chat)
Best for: Users who primarily want Mistral models and appreciate a polished single-vendor experience
Mistral AI’s official app, Le Chat, offers on-device inference for Mistral’s own models. The design is clean and consumer-friendly. The chat interface is polished. It works offline once a model is downloaded.
The trade-off is breadth. You’re limited to Mistral’s model family — which is genuinely good, particularly Mistral 7B — but you don’t have access to models from Meta, Google, Microsoft, or others. If Mistral Nemo or Mistral 7B is your preferred model anyway, this is a clean, well-designed option.
What Le Chat does well:
- Best-in-class experience for Mistral models specifically
- Clean, polished interface
- Regular updates from the model creator
Where it falls short:
- Single model family, no choice between providers
- Fewer advanced features (Projects, persistent memory, voice)
- Less transparency about app-level data handling
Offline AI: Private Chat (Generic Category)
There’s a broader category of smaller apps in the App Store that offer offline AI with varying levels of quality and privacy commitment. These apps often use older model formats, have less optimized inference, and sometimes have unclear privacy practices regarding app-level telemetry even when the AI itself is local.
The risk with less-known offline AI apps: “The model runs locally” doesn’t tell the whole story. An app can run inference on-device while still sending usage data, prompts for logging, or analytics to a server. Without clear documentation of what’s actually transmitted, the privacy benefit is uncertain.
When evaluating any offline AI app, look for explicit documentation of what data the app transmits — not just claims about the AI being local, but specifics about analytics, crash reporting, and usage tracking.
Side-by-Side Comparison
| Cloaked | LM Studio | Le Chat (Mistral) | |
|---|---|---|---|
| Model selection | 15+ (multi-vendor) | Very broad | Mistral only |
| Inference framework | Apple MLX | MLX + GGUF | Proprietary |
| Accounts required | No | Optional | No |
| Analytics | None | Review settings | Review settings |
| Voice input | Yes (on-device) | Limited | No |
| Text-to-speech | Yes (on-device) | Limited | No |
| Projects / memory | Yes | No | No |
| Web search | DuckDuckGo | No | No |
| Best for | Most users | Developers | Mistral fans |
Which App Is Right for You
If you want offline AI that just works, with strong privacy guarantees and a polished experience: Cloaked. The combination of model breadth, zero-account design, and full feature set makes it the right default choice for most iPhone users.
If you’re a developer who wants API access, temperature controls, and maximum model flexibility: LM Studio. Accept that you’ll need to manage the privacy settings yourself and the UX is more technical.
If you’ve already decided Mistral models are what you want: Le Chat is a well-made app for exactly that use case.
If you’re evaluating a lesser-known app: Read its privacy policy carefully. Specifically look for what happens with prompt data, whether crash reporting is enabled by default, and whether there are any analytics SDKs in the app.
Model Selection Matters as Much as App Selection
The app is the container — the model is what determines the quality of responses. Regardless of which app you use, the model you run on it significantly shapes the experience.
A few benchmarks from current testing:
- Gemma 3 4B consistently outperforms models of similar size on general reasoning and writing tasks. Best general-purpose choice on iPhone 15 Pro or newer.
- Phi-4 Mini outperforms larger models on many coding and math tasks due to its training focus. Worth using specifically for technical work.
- Llama 3.2 3B runs fast on A15/A16 chips and handles most everyday tasks well. Best choice if you’re on an older device or want quick responses.
- Qwen 2.5 0.5B is surprisingly capable for its size. At 317MB, it’s fast on any device and good for simple tasks where speed matters more than depth.
For a complete guide to choosing models and understanding the trade-offs in running AI offline, see our How to Run AI Completely Offline guide.
Getting Started
If you’ve decided Cloaked is the right fit, setup takes about ten minutes:
- Download Cloaked from the App Store
- Open the app and browse the model library
- Download Llama 3.2 3B (fast, 2GB) or Gemma 3 4B (more capable, 3GB)
- Start chatting — no account, no setup, no connection required after download
If you want to understand more about how to actually use AI without any internet connection, including tips for air travel and sensitive use cases, see How to Use AI Without Internet Access.
The offline AI category on iPhone has matured significantly. The apps covered here all work. The differences come down to model breadth, privacy rigor, and feature depth — and on those dimensions, the right choice for most people is clear.