PocketPal AI is the best AI app for Android without internet for most users in 2026. It passed my airplane mode test on all three test devices with zero outbound network packets during conversation. The app downloads models from Hugging Face — over 135,000 available — and runs them entirely on your Android processor once downloaded. Your conversations never reach any server.

What makes PocketPal the top pick over everything else I tested: it works across the widest hardware range, has the most model choice, is completely free, and is open-source so its privacy claims are independently verifiable. I reviewed the network permissions in the GitHub repository myself — the app requests no internet permission for conversation, only for the model downloader. On my Samsung Galaxy A54 (6GB RAM) running Phi-4 Mini, it produced responses at 8–12 tokens per second in full airplane mode. Slow enough to notice but fast enough for real daily use.

The only thing that requires setup effort: you need to choose and download a model the first time, which takes about 10 minutes on WiFi. After that, you never need internet again.

MLC Chat is the fastest offline AI app for Android without internet on Snapdragon devices — by a significant margin. It uses the Snapdragon Hexagon NPU to reach approximately 40 tokens per second on Qwen 3 1.7B on the Galaxy S25 Ultra, compared to 8–12 tokens per second for CPU-only apps on the same device. On my Galaxy S24 (Snapdragon 8 Gen 3), I measured 20–26 tokens per second with Phi-4 Mini in full airplane mode. That speed makes the AI feel close to instant for short responses.

The limitation is selectivity: MLC Chat pre-compiles models specifically for each device chipset, which is why it is faster — but it means you cannot load arbitrary GGUF models like in PocketPal. You choose from MLC Chat’s supported model list. On Exynos or Tensor chipsets (Samsung A-series, Pixel phones), the speed advantage largely disappears because NPU acceleration is Snapdragon-specific. On those devices, PocketPal performs comparably.

One practical friction: MLC Chat is not on the Google Play Store. You install it via APK sideload, which requires enabling unknown sources in your Android settings. Takes two extra minutes but is not technically difficult.

Layla AI is for people who want an AI app for Android without internet but have no interest in choosing models, managing GGUF files, or thinking about RAM allocation. Install it from the Play Store, and you are chatting within three minutes. The model is bundled or downloaded automatically — no choices to make, no Hugging Face browsing.

The trade-off for that simplicity is less model flexibility and slightly lower output quality than PocketPal running a comparable model. In my blind quality test using identical prompts on both apps, Layla’s responses were good but PocketPal with Phi-4 Mini produced more detailed and accurate answers. For users who just want a working AI without touching any settings, Layla is the right choice. For users willing to spend 10 minutes on initial setup, PocketPal gives better results.

Google AI Edge Gallery is the official Android app for running Gemma 4 models on-device. The E2B model runs on any Android phone with 6GB RAM, and the E4B model requires 8GB RAM. It is more of a developer showcase than a polished consumer app — the interface is functional rather than designed for daily use — but it passed my airplane mode test with zero network traffic and the Gemma 4 model quality is genuinely solid.

The reason to choose Google AI Edge Gallery specifically: if you already trust Google’s model quality and want official Google-sourced offline AI rather than third-party apps. The Gemma 4 models are well-optimised for mobile hardware and perform consistently. The interface limitations (no conversation history, basic UI) make it less practical for daily use than PocketPal, but it is a reliable offline option for specific tasks.

Ollama running through Termux gives you the full Ollama ecosystem on your Android phone — every model available in the Ollama library, OpenAI-compatible API, tool use, and complete control over inference parameters. If you use Ollama on your laptop and want the same experience on Android, this is how you get it. It runs entirely offline after setup with zero network traffic during conversation.

The honest caveat: setup requires running terminal commands in Termux, which is not for everyone. If you are not comfortable with a command line, the 20-minute setup process will feel intimidating. For technical users who already use Ollama, it is the most capable offline AI for Android available. For everyone else, PocketPal delivers 90% of the capability with none of the terminal setup.