The 7 Best Local LLM Apps for iPhone, Ranked
Every app below runs language models fully on-device: airplane mode works, nothing is sent to a server. The quick answer: get PocketPal AI if you want free and flexible, Private LLM ($4.99 once) if you want the fastest curated models, or Locally AI if you live in the Apple/MLX ecosystem. App facts verified against App Store listings and official sites on 2026-06-12; prices can change.
PocketPal AI
Best free all-rounderFree (open source) · llama.cpp: loads any GGUF via built-in Hugging Face search
Open-source, free, and runs any GGUF model you can find on Hugging Face: Qwen, Llama, Gemma, Phi, DeepSeek distills and more. Works fully offline, supports vision models and on-device text-to-speech, and has the lowest iOS floor of any app here (iOS 15.1+). Actively maintained, with iPad and Mac versions included.
Private LLM
Best paid pick, and the uncensored-model catalog$4.99 one-time (no subscription) · Proprietary runtime with OmniQuant/GPTQ quantization, curated model library
One purchase covers iPhone, iPad and Mac with Family Sharing. Its OmniQuant/GPTQ quantization is the stated edge over standard llama.cpp wrappers, and it is the only app that openly curates uncensored builds (Abliterated, Dolphin, Lexi variants) organized by RAM tier. Deep Siri and Apple Shortcuts integration, fully offline.
Locally AI (by LM Studio)
Best MLX app, now part of LM StudioFree · MLX + Apple Foundation Models (iOS 26+)
Acquired by LM Studio in early 2026, this is the Apple-native MLX pick: Llama, Gemma, Qwen 3.5, DeepSeek and Apple’s own on-device foundation model with zero downloads. The June 2026 LM Link feature connects the iPhone app to bigger models running on your Mac over an end-to-end-encrypted tunnel. Local AI on your phone, powered by your desktop.
Enclave
Best voice chat + documentsFree for local models (Pro subscription only for cloud) · llama.cpp: any GGUF via Hugging Face search
Fully offline voice conversations (on-device speech-to-text and text-to-speech) plus PDF, text, image and code files as chat context. Local models are free; the $9.99 Pro subscription only unlocks optional cloud models. Runs on iPhone, iPad, Mac, Vision Pro and even Apple Watch.
Google AI Edge Gallery
Best for Gemma modelsFree (open source) · Google AI Edge: Gemma family incl. Gemma 4
Google’s official local-AI app brings Gemma 4 to iPhone with full offline operation, image understanding, audio transcription, and agent skills like Wikipedia grounding. The simplest way to run Google’s small models on iOS.
Off Grid
Most features in one app (2026 newcomer)Free (optional Pro upgrade, pricing on App Store) · llama.cpp GGUF + on-device Stable Diffusion
The new MIT-licensed all-rounder: any GGUF chat model, on-device Stable Diffusion image generation, Whisper voice input, vision, tool calling and a document knowledge base. Still early software (version 0.0.x), but no other iOS app packs this much local AI in one place.
Liquid Apollo
Best hybrid local + cloud clientFree · LEAP (Liquid LFM2 models) + optional cloud/Ollama backends
Formerly Apollo AI, now run by Liquid AI as the showcase for its efficient LFM2 edge models (including vision). It is a hybrid client: local LEAP models plus optional OpenRouter cloud models or your own Ollama/LM Studio server, so it suits users who want one app for both worlds.
Quick Comparison
| App | Price | Engine | Standout |
|---|---|---|---|
| PocketPal AI | Free (open source) | llama.cpp | Best free all-rounder |
| Private LLM | $4.99 one-time (no subscription) | Proprietary runtime with OmniQuant/GPTQ quantization, curated model library | Best paid pick, and the uncensored-model catalog |
| Locally AI (by LM Studio) | Free | MLX + Apple Foundation Models (iOS 26+) | Best MLX app, now part of LM Studio |
| Enclave | Free for local models (Pro subscription only for cloud) | llama.cpp | Best voice chat + documents |
| Google AI Edge Gallery | Free (open source) | Google AI Edge | Best for Gemma models |
| Off Grid | Free (optional Pro upgrade, pricing on App Store) | llama.cpp GGUF + on-device Stable Diffusion | Most features in one app (2026 newcomer) |
| Liquid Apollo | Free | LEAP (Liquid LFM2 models) + optional cloud/Ollama backends | Best hybrid local + cloud client |
Honorable mentions & corrections: fullmoon (Mainframe) is a lovely free MLX app but updates rarely. MLC Chat pioneered fast iPhone inference but its model lineup has not been refreshed since 2024. LLM Farm is currently delisted: its own GitHub notes it is "temporarily unavailable" on the App Store, so skip listicles still recommending it. And Apollo AI did not shut down: it is now Liquid Apollo under Liquid AI.
Looking for uncensored models? Private LLM is the only app that curates uncensored builds (Abliterated/Dolphin/Lexi variants) in its library, organized by how much RAM your iPhone has. The GGUF apps (PocketPal, Enclave, Off Grid) can load community uncensored GGUFs manually from Hugging Face.
On iPad? All seven apps are universal. With a 16GB M-series iPad Pro you move up a full model class. 14B-class models like DeepSeek R1 Distill Qwen 14B become usable.
Which Models Work on iPhone
Running local AI on iPhone requires models optimized for mobile hardware. The key constraint is RAM: unlike desktop computers, iPhones have limited memory that must be shared between the operating system and AI models. This means we need to focus on small language models (SLMs) under 5 billion parameters.
The good news is that model quality has improved dramatically. Today's 1.5B parameter models outperform 7B models from just a few years ago. Thanks to better training techniques, quantization methods, and architectural improvements, you can get surprisingly capable AI assistance on your iPhone.
Recommended Models by Use Case
General Chat & Writing
Gemma 4 E2B (2.3B, 4GB RAM): fast, mobile-optimized, and multimodal. Ships in Google AI Edge Gallery and loads as a GGUF in PocketPal AI or Enclave. Speed is est., not measured on every device (see the RAM tiers below for the models with real numbers).
Coding Assistance
Qwen3.5 4B Instruct (4B, 8GB RAM): the sweet spot for iPhone coding help, with a 262K context window and multimodal input. Needs an 8GB+ iPhone (15 Pro or newer) for comfortable headroom.
Translation & Multilingual
Qwen3.5 0.8B Instruct (0.8B, 2GB RAM): the current Qwen3.5 line replaces the older Qwen2.5 0.5B/1.5B builds. Handles translation and cross-lingual queries efficiently on any iPhone with 6GB RAM or more.
iPhone RAM Limitations
Understanding RAM constraints is crucial for iPhone AI. Here's what each iPhone generation offers:
iPhone 15 (Apple A16 Bionic)
6GB RAM
Gemma 4 E2B: ~15 tok/s (est.)
GGUF apps (PocketPal, Enclave): models up to ~2B parameters
iPhone 15 Pro (Apple A17 Pro)
8GB RAM
Gemma 4 E2B: ~22 tok/s (est.)
GGUF apps (PocketPal, Enclave): models up to ~4B parameters
iPhone 16 (Apple A18)
8GB RAM
Gemma 4 E2B: ~25 tok/s (est.)
GGUF apps (PocketPal, Enclave): models up to ~4B parameters
iPhone 17 Pro (Apple A19 Pro)
12GB RAM
Gemma 4 E4B: ~30 tok/s (measured)
GGUF apps (PocketPal, Enclave): models up to ~9B parameters
Remember that iOS needs 2-3GB RAM for system operations, leaving the remainder for AI models. When loading a model, the operating system may terminate background apps to free memory, which is normal behavior.
Speed Expectations
Inference speed on iPhone depends on model size, chip generation, and whether the model uses the Neural Engine. Here are realistic expectations:
- →0.5B models: 30-40 tokens/second. Nearly instant responses
- →1.5B models: 20-30 tokens/second. Very fast, conversational feel
- →3B models: 10-20 tokens/second. Comfortable reading speed
- →3.8B models: 8-15 tokens/second. Slower but high quality
First token latency (time to first response) typically ranges from 0.5-2 seconds depending on model size and device. The A17 Pro and newer chips show significant improvements in both throughput and latency compared to older generations.
Model Comparison Table
Speed and quality ratings come from ModelFit's model dataset (relative scoring, not a per-device tok/s measurement). For real iPhone tok/s numbers on Gemma 4, see the RAM tiers above.
| Model | Size | RAM Needed | Speed | Quality | Best For |
|---|---|---|---|---|---|
| Gemma 4 E2B | 2.3B | 4GB | ★★★★★ | ★★★☆☆ | Fast general chat, mobile-optimized |
| Qwen3.5 0.8B Instruct | 0.8B | 2GB | ★★★★★ | ★★★☆☆ | Translation, quick queries |
| Qwen3.5 2B Instruct | 2B | 4GB | ★★★★★ | ★★★★☆ | Balanced speed and quality |
| Qwen3.5 4B Instruct | 4B | 8GB | ★★★★☆ | ★★★★☆ | Coding, agents, reasoning |
| Gemma 4 E4B | 4.5B | 8GB | ★★★★★ | ★★★★☆ | Best on-device quality (needs 8GB+) |
Step-by-Step Ollama Setup
While you cannot run Ollama directly on iPhone, you can use it on a Mac and access models from your iPhone via the network. Here's how to set it up:
Step 1: Install Ollama on Mac
Download and install Ollama from ollama.com. It supports macOS 11 Big Sur and later.
curl -fsSL https://ollama.com/install.sh | sh
Step 2: Pull a Mobile-Optimized Model
Download a small model that works well on mobile connections:
ollama pull qwen3.5:2b
Step 3: Enable Network Access
Configure Ollama to accept connections from your iPhone:
export OLLAMA_HOST=0.0.0.0:11434 ollama serve
Step 4: Use a Chat Client on iPhone
Install an app that supports custom Ollama backends: Liquid Apollo or Off Grid from the ranking above both do. Configure it with your Mac's IP address and port 11434 (both devices on the same Wi-Fi). If you use LM Studio on your Mac instead, Locally AI's LM Link connects over an encrypted tunnel with no manual networking at all.
Simpler path: for true on-device AI without a Mac, just install PocketPal AI (free) or Private LLM ($4.99) from the ranking above: they bundle optimized models and run entirely on your iPhone. The Mac+Ollama route only makes sense when you want bigger models than your phone's RAM allows.
Frequently Asked Questions
What is the best app to run a local LLM on iPhone?
PocketPal AI is the best free pick: open source, runs any GGUF model from Hugging Face, fully offline. Private LLM ($4.99 one-time) is the best paid pick with faster OmniQuant-quantized models. Locally AI (by LM Studio) is the best MLX-native option with Apple Foundation Models support.
Are there free apps to run LLMs on iPhone?
Yes. PocketPal AI, Locally AI, Google AI Edge Gallery, fullmoon, Off Grid and Liquid Apollo are all free and run models fully on-device. Enclave is also free for local models; its subscription only covers optional cloud models.
Can I run LLMs locally on my iPhone?
Yes. Modern iPhones with A16 Bionic or later run small language models fully on-device with apps like PocketPal AI, Private LLM or Locally AI. Models under 4B parameters work best on 8GB iPhones; 12GB iPhone 17 Pro models handle 7-8B-class models.
Which iPhone models support local AI?
iPhone 15 series (A16/A17 Pro), iPhone 16 series (A18/A18 Pro), and iPhone 17 series (A19/A19 Pro) all support local AI models. The Pro models with 8GB+ RAM provide the best experience.
What is the best LLM for iPhone?
Qwen3.5 2B and Gemma 4 E2B are excellent balanced choices for iPhone, both under 4GB RAM. For the best quality on 8GB+ iPhones, Qwen3.5 4B or Gemma 4 E4B offer stronger coding and reasoning.
How much RAM does an iPhone need for AI?
iPhone 15 has 6GB RAM; iPhone 15 Pro, the iPhone 16 lineup and iPhone 17 have 8GB; iPhone Air, 17 Pro and 17 Pro Max have 12GB. 8GB runs 3-4B models comfortably, while 12GB devices handle 7-8B-class models. 12GB is now the requirement for Apple's most powerful iOS 27 on-device model announced at WWDC 2026.