Local LLM runner vs Local LLM
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
Local LLM runner
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Run LLM on your iPhone, 100% local, no network (Network needed once to download a model) Models: • Qwen2.5 0.5B Instruct — ~0.4 GB (4 GB RAM) • Llama 3.2 1B Instruct — ~0.8 GB (4 GB RAM) • Qwen2.5 1.5B Instruct — ~0.9 GB (4 GB RAM) • Llama 3.2 3B Instruct — ~1.9 GB (6 GB RAM) • Qwen3 4B Instruct 2507 — ~2.5 GB (6 GB RAM) • Qwen2.5 7B Instruct — ~4.4 GB (8 GB RAM) Also: • Add your own GGUF (for example, from Hugging Face) • Auto-estimated max context from GPU memory; you can change it Requires iOS 18 or later. Tested on iPhone 11, 14 Pro, 15 Pro with iOS 26. Qwen models © Alibaba Cloud. Licensed under Apache License 2.0. Llama 3.2 is licensed under the Llama 3.2 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved. Built with Llama. On-device inference uses llama.cpp (MIT License).
Local LLM
This app allows you to run powerful AI language models directly on your iPhone, offering offline chat, photo analysis, and document interaction. Download various models or utilize Apple's on-device AI for private, cloud-free conversations and tasks.
- On-device AI model execution
- Offline chat and document processing
- Photo analysis capabilities
- Live voice input
- Model catalog for downloads
- Privacy-focused, no cloud backend
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Local LLM runs language models on your iPhone. No account is required. Chat, ask about photos, work with documents and use live voice. With Canvas, build websites, interactive pages and games from a conversation, then preview and edit them in the app. Features depend on the selected model. Download models from the catalog, or use Apple’s on-device model on supported devices when available. Core AI models require iOS 27 or later. Other supported models remain available on older systems. Inference and conversation history stay on your device. Model downloads, the catalog and model artwork use the network. Optional Web Search sends a query derived from your message to DuckDuckGo and may read result websites. Weather requests use Apple geocoding and WeatherKit for the requested city, without requesting device location. Voice input prefers on-device recognition. If it is unavailable or fails, Apple’s online speech service may process audio when network speech recognition is enabled. You can disable this in Privacy settings. Requires iOS 17 or later. Model availability depends on your device, OS, memory and storage. Downloads require internet; supported offline chat works after setup. Models can make mistakes. Do not rely on replies for medical, legal or financial decisions.
Screenshots
Verdict
The clearest difference is update cadence: Local LLM at weekly against Local LLM runner's monthly. On price, ads, in-app purchases and device support there is nothing between them.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
Both are free to download. Neither carries in-app purchases, so what you see is what you pay.
Local LLM runner ships an update monthly, Local LLM weekly. The most recent releases landed on October 2, 2026 and October 10, 2026 respectively.
| Parameter | Local LLM runner | Local LLM |
|---|---|---|
| Price | Free | Free |
| Rating | — | 5.0 (2 ratings) — better |
| Positive reviews | — | 100.0% of reviews |
| Number of ratings | — | 2 — better |
| Update frequency | Monthly | Weekly — better |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | — | Free |
| Devices | iPhone | iPhone |
| Requires iOS | 18.0 | 17.0 — better |
| Further details — not scored | ||
| Size | 25 MB | 68 MB |
| Age rating | 9+ | 12+ |
| Developer | Valerii Lubnin | Yanchen Zhao |
In-app purchases
Local LLM runner
No in-app purchases
Local LLM
No in-app purchases
