Can I run LLMs on iPhone without internet?

Yes. After the one-time model download, Off Grid runs fully offline using Apple's Metal GPU and Neural Engine. No internet required.

Which iPhones can run LLMs locally in 2026?

iPhone 12 or newer (A14 chip or later). Smaller models like Qwen 3.5 0.8B and Qwen 3.5 2B run on any supported iPhone. Larger models like Qwen 3.5 9B need iPhone 15 Pro or newer with 8GB RAM.

Is running LLMs on iPhone as good as ChatGPT?

For everyday tasks - summarisation, Q&A, writing help - Qwen 3.5 9B on iPhone 15 Pro is comparable to GPT-3.5. Gemma 4 and Qwen 3.5 models also support thinking mode for complex reasoning tasks.

How to Run LLMs Locally on Your iPhone in 2026 (Completely Offline, No Subscription)

Apple’s Metal GPU and Neural Engine exist in every iPhone since 2017. They’re dedicated AI accelerators, sitting mostly idle while you pay a monthly subscription to send queries to someone else’s server.

Off Grid changes that. Run Qwen 3.5, Gemma 4, Mistral, and other leading models directly on your iPhone - offline, private, with no ongoing cost. Inference runs via llama.cpp with Metal GPU acceleration.

Requirements

iPhone 12 or newer (A14 Bionic or later)
iOS 16 or later
3GB free storage minimum
Internet once for the model download

Step 1 - Install Off Grid

Download from the App Store

Step 2 - Choose your model

All models use Q4_K_M quantisation - the best balance of quality and size for mobile.

Model	Min iPhone	RAM needed	Size	Best for
Qwen 3.5 0.8B	iPhone 12	3GB	~0.8GB	Ultra-fast, 262K context
Qwen 3.5 2B	iPhone 12	4GB	~1.7GB	Best for 4–6GB devices
Gemma 4 E2B	iPhone 12	4GB	~1.5GB	Vision + thinking mode
Mistral 7B	iPhone 14	6GB	~4.1GB	Fast, reliable general purpose
Gemma 4 E4B	iPhone 14	6GB	~2.5GB	Reasoning + vision, thinking mode
Qwen 3.5 9B	iPhone 15 Pro	8GB	~5.5GB	Best on-device quality overall

iPhone 12/13 users: start with Qwen 3.5 2B. iPhone 15 Pro / 16 users: try Qwen 3.5 9B.

Step 3 - Download, load, chat

Open Off Grid → Models
Tap a model → Download
Tap Load - the model loads via Metal (Apple’s GPU framework)
Open Chat

You’re now running inference locally on Apple Silicon. Nothing leaves your phone.

Why iPhone is great for local AI

iPhones have a key advantage: unified memory. The Metal GPU and CPU share the same memory pool, which means models load faster and inference is more efficient than CPU-only devices.

Qwen 3.5 2B on an iPhone 14 generates around 20–30 tokens per second. That’s fast enough for a fluid conversation.

Thinking mode (Qwen 3.5, Gemma 4) works particularly well on iPhone because Metal acceleration keeps the longer reasoning sequences from feeling slow.

Performance by device

iPhone	RAM	Recommended model	Approx tok/s
iPhone 16 Pro Max	8GB	Qwen 3.5 9B	18–28
iPhone 16 / 16 Plus	8GB	Qwen 3.5 9B	18–28
iPhone 15 Pro	8GB	Qwen 3.5 9B	15–25
iPhone 14 Pro	6GB	Gemma 4 E4B	15–22
iPhone 14	6GB	Qwen 3.5 2B	20–30
iPhone 13	4GB	Qwen 3.5 2B	18–26
iPhone 12	4GB	Qwen 3.5 0.8B	25–40