A 7B-parameter language model now fits in 4 GB of RAM, runs at 8 to 12 tokens per second on a Snapdragon 8 Gen 3, and answers without ever touching the network. That is what local AI on Android actually looks like in 2026, and it is the reason a wave of apps has shipped in the past 12 months that put a chatbot on your phone with no account, no subscription and no telemetry.
We tested eight of the best apps for running local AI on Android in 2026. Each one was judged on model selection, tokens per second on a mid-range device, RAM usage, support for GGUF or MLC formats, offline reliability and how much setup the app actually needs before you can ask it anything. Free, open-source and paid picks are all included.
What to look for in a local AI app
Local LLM apps are not all the same. Before you install half a dozen, it helps to know what separates a usable one from a tech demo.
- Model format support. GGUF is the dominant on-device format in 2026, used by llama.cpp and most community models. Some apps support only their own bundled models, which is a red flag.
- Memory footprint. A 4-bit quantised 3B model needs about 2 GB of RAM. A 7B model wants 4 to 6 GB. If your phone has 6 GB of RAM total, anything bigger than 7B will swap and crash.
- Hardware acceleration. Look for OpenCL or Vulkan GPU offload, or NPU support on Pixel 8/9 and Snapdragon 8 Gen 3 phones. CPU-only apps work, but tokens come slower.
- Model library inside the app. A built-in model browser that downloads from Hugging Face is far less hassle than sideloading .gguf files yourself.
- Privacy posture. The whole point is offline operation. Check whether the app phones home for analytics, asks for an account, or uploads prompts for “improvement”.
- Power-user features. Custom system prompts, persona presets, RAG over local documents, and OpenAI-compatible API endpoints all matter once you move past the novelty stage.
Quick comparison
| App | Best for | Platforms | Free plan | Starting price | Aptoide downloads |
|---|---|---|---|---|---|
| PocketPal AI | Overall best, easy GGUF | Android, iOS | Yes | Free | 1M+ |
| Google AI Edge Gallery | Official Google models | Android | Yes | Free | 100K+ |
| MLC Chat | Speed via MLC compiled models | Android, iOS, desktop | Yes | Free | n/a (GitHub) |
| Maid | FOSS llama.cpp wrapper | Android, desktop | Yes | Free | 10K+ |
| ChatterUI | Character chat, role-play | Android | Yes | Free | n/a (GitHub) |
| Layla | Premium character chat | Android, iOS, desktop | 7-day trial | $5.99/mo | 5K |
| Termux + Ollama | Full Linux toolchain | Android | Yes | Free | 10M+ |
| SmolChat | Lightweight 1B-3B models | Android | Yes | Free | n/a (GitHub) |
The 8 best apps for local AI on Android in 2026
1. PocketPal AI — best for first-time local LLM users
PocketPal AI is the app that finally made on-device LLMs feel like a normal Android app. The Aptoide build is at version 1.14.0 with more than one million installs, and the in-app model browser pulls GGUF files straight from Hugging Face so you never have to touch a file manager. Out of the box it ships sensible quantisation defaults, a working chat UI with custom system prompts, and benchmarking that shows tokens per second per device. PocketPal AI for local LLM use is the cleanest on-ramp on Android.
Where it falls short: No native voice input. Long-context models past 8K tokens slow down sharply on phones with less than 8 GB of RAM. There is no API server mode for connecting other apps yet.
Pricing:
- Free: every feature, fully open-source under MIT
- Paid: optional GitHub sponsorship to support the developer
Platforms: Android, iOS
Bottom line: Pick PocketPal AI if this is your first attempt at running an LLM on a phone. It is the one I tell every Android friend to try first.
2. Google AI Edge Gallery — best free official option
Google AI Edge Gallery is Google’s research showcase for Gemma and other on-device models, and it is by far the most polished free option from a major vendor. The Aptoide build sits at 30.7 MB, signs the package as Research at Google and includes ready-to-run demos for chat, summarisation, image classification and prompt-based image generation, all running with hardware acceleration on supported phones. Pixel 8 Pro and Pixel 9 phones light up the on-device NPU via the AICore framework, which translates into noticeably faster tokens per second.
Where it falls short: The model catalogue is curated by Google, so you cannot drop in arbitrary GGUF files. Some demo features expect a Pixel and silently fall back to slower CPU mode on other devices.
Pricing:
- Free: every feature, no account needed
- Paid: nothing
Platforms: Android only
Bottom line: Pick Google AI Edge Gallery if you have a Pixel 8 or 9 and want the official Gemma experience. Skip it if you want to load custom community models.
3. MLC Chat — best for raw speed
MLC Chat is the reference Android app for the MLC LLM project, the open-source compiler stack that takes Llama, Mistral and Qwen weights and compiles them to GPU-accelerated kernels via TVM. The result is consistently the fastest tokens-per-second numbers on the same Snapdragon hardware versus any GGUF-based app, often 2x to 3x ahead, and the project has updated steadily through 2025-2026 with support for Qwen 2.5 and Llama 3.3 builds. MLC Chat for local LLM workloads is the choice when you actually care about throughput.
Where it falls short: Not on Aptoide or Google Play. You install it from the GitHub releases page, which is a sideload step some users will not take. Model selection is limited to the precompiled MLC catalogue, and adding a new model means recompiling weights yourself.
Pricing:
- Free: every feature, Apache-2.0 licensed
- Paid: nothing
Platforms: Android, iOS, Windows, macOS, Linux
Bottom line: Pick MLC Chat if benchmark numbers matter to you. Skip it if you are not comfortable installing APKs from GitHub.
4. Maid — best FOSS llama.cpp wrapper
Maid is a Flutter front end for llama.cpp that ships an Android build on Aptoide and a desktop build on most platforms. The 2.1.51 release adds character cards, a settings panel for context length and temperature, and direct download buttons for community-recommended models. Maid for local LLM use is the most opinionated FOSS app on this list, with a chat-app feel rather than a research demo.
Where it falls short: No GPU acceleration on Android, so tokens per second lag MLC Chat by a wide margin. Initial model downloads are slow because the curated list pulls from Hugging Face mirrors that throttle on free tiers.
Pricing:
- Free: every feature, MIT licensed
- Paid: nothing
Platforms: Android, Windows, macOS, Linux
Bottom line: Pick Maid if FOSS purity matters and you also want a desktop client that talks to the same models. Skip it if you only care about phone speed.
5. ChatterUI — best for character chat and role-play
ChatterUI is the Android counterpart to SillyTavern, the open-source character-chat front end. It runs llama.cpp on-device, supports character cards in the standard SillyTavern JSON format, and adds web-search hooks, RAG over local files, and per-character system prompts. The community on r/LocalLLaMA recommends ChatterUI for Android consistently when someone asks where to start with local role-play models.
Where it falls short: Not on Aptoide. The UI is denser than PocketPal and assumes you understand sampler settings, repetition penalty and context length. New users tend to bounce on first launch.
Pricing:
- Free: every feature, AGPL-3.0 licensed
- Paid: nothing
Platforms: Android only
Bottom line: Pick ChatterUI if SillyTavern character cards are part of your workflow. Skip it if “sampler settings” sounds like a foreign language.
6. Layla — best paid app for character cards
Layla is the polished commercial option in this category, built around character chat with a Wear OS companion, a desktop client, and cloud-optional sync that you can disable for full offline mode. The 6.5.1 build on Aptoide bundles a curated selection of community models tuned for role-play, and the developer ships frequent updates including support for Qwen 2.5 and Llama 3.3 in the past two months. Layla for local LLM workloads is one of the few apps charging money and getting away with it because the models actually run smoothly.
Where it falls short: Subscription pricing in a category dominated by free apps is a hard sell. Some users have flagged that the app does optional cloud features like model sync, so the offline mode toggle is worth checking on first launch.
Pricing:
- Free: 7-day trial
- Paid: $5.99/month or $39.99/year
Platforms: Android, iOS, Windows, macOS, Linux
Bottom line: Pick Layla if character chat is your main use case and you want a paid app that someone is actually maintaining. Skip it if you would not pay for a chat UI on principle.
7. Termux + Ollama — best for Linux power users
Termux with Ollama installed inside it is the most flexible local AI setup on Android, and it is the path many developers take when they want OpenAI-compatible API endpoints, model libraries beyond Hugging Face GGUF, and the ability to script everything. The Termux Aptoide build is the official 2026.02.11 Google Play release packaged for Aptoide, with 10M+ installs. Once installed, pkg install ollama followed by ollama serve gives you a local API on port 11434 that any chat client (including Open WebUI on the same phone) can talk to.
Where it falls short: Setup is a real Linux journey. CPU-only inference is the default, so tokens come slowly compared to MLC Chat. Battery drain on extended sessions is heavier than dedicated apps.
Pricing:
- Free: every feature, GPL-3.0 licensed
- Paid: nothing
Platforms: Android only (Termux), with Ollama scripts running anywhere Linux runs
Bottom line: Pick Termux + Ollama if you already use a terminal happily and want full control. Skip it if “edit a config file” is not how you want to spend your evening.
8. SmolChat — most lightweight on older hardware
SmolChat is an Android-native chat app built around the SmolLM family from Hugging Face, models in the 135M to 3B parameter range that run smoothly on phones with as little as 3 GB of RAM. The app is open-source on GitHub, supports custom GGUF imports, and is the only entry on this list that works comfortably on a 2022 mid-range Android phone. SmolChat for local LLM use is the answer when your hardware is a real constraint.
Where it falls short: Not on Aptoide or Google Play, only GitHub. Small models hallucinate more than 7B and 8B alternatives, so factual accuracy drops noticeably. The UI is functional rather than polished.
Pricing:
- Free: every feature, Apache-2.0 licensed
- Paid: nothing
Platforms: Android only
Bottom line: Pick SmolChat if your phone is old or RAM-constrained. Skip it if you have an 8 GB or 12 GB device that can run something bigger.
How to pick the right one
Most readers will be happy with the first or second pick on this list, but the right answer depends on what you actually want.
- If you want the simplest option: PocketPal AI.
- If you have a Pixel 8 or 9 and want first-party Google models: Google AI Edge Gallery.
- If raw tokens per second matter: MLC Chat.
- If you live in Linux and want a real API: Termux + Ollama.
- If you want a FOSS app with a real chat UI: Maid.
- If you write characters and use SillyTavern cards: ChatterUI.
- If you will pay for stable, polished character chat: Layla.
- If your phone has 4 GB of RAM or less: SmolChat.
If you tried PocketPal and bounced because it was too basic, jump to ChatterUI or MLC Chat. If you tried Termux and gave up, drop straight back to PocketPal and forget the terminal exists.
FAQ
Can my phone actually run a useful LLM offline?
Yes, if it has at least 6 GB of RAM and a chip from the Snapdragon 8 series, recent Tensor, or Apple A16 generation onward. A 4-bit quantised 7B model fits comfortably and answers at conversational speed. Older phones with 3-4 GB of RAM should stick to 1B-3B models like SmolLM 2 or Phi-3 Mini.
What is the best free local AI app for Android?
PocketPal AI is the best all-rounder in 2026. It is open-source, has a built-in Hugging Face model browser, ships sensible defaults, and runs on any modern phone without configuration. Google AI Edge Gallery is a close second on Pixel hardware.
Are local AI apps actually private?
A locally-run model never sends prompts to a server, which is the point. The app itself can still phone home for analytics or crash reporting, so check the settings on first launch and turn off whatever you do not want. PocketPal, Maid, MLC Chat, ChatterUI and SmolChat are all open-source and auditable.
Why use a local LLM instead of ChatGPT or Gemini?
Three reasons most people cite: privacy (prompts stay on the device), offline use (works on flights, trains, no signal), and zero cost (no $20/month subscription). The trade-off is smaller models that are weaker at reasoning and have older training cutoffs.
Which model should I download first?
Start with Llama 3.2 3B Instruct or Phi-3.5 Mini if you have 6 GB of RAM. Move up to Llama 3.3 8B or Qwen 2.5 7B if you have 8 GB or more. PocketPal’s in-app browser already labels each model with its memory requirements, so you can pick safely.
Do these apps work on iPhone?
PocketPal AI, MLC Chat and Layla have iOS builds. ChatterUI, Maid, SmolChat, Termux and Google AI Edge Gallery are Android-only as of May 2026.
