Vision and visible reasoning
Gemma 4 takes text, images and audio in one chat. Thinking models show their reasoning before the answer.
Identify resistor R4 and verify if 24V input causes thermal overload.
Run open-weight models on your phone, connect your own API keys, or use our hosted models. Everything local is free and sends no telemetry.
Chats, image generation and voice input run on the device. No telemetry, no ads. Nothing goes to a server unless you turn on a cloud feature.
64-bit ARM, Android 8.0 or newer. Models run on the CPU, the GPU (Vulkan/OpenCL) or, on supported Snapdragon chips, the Hexagon NPU.
Local chat, image generation, Whisper, Supertonic 3 TTS, writing tools and OCR cost nothing. The subscription only covers hosted models.
Features
Everything here runs on the device, except the Python sandbox and web search.
Gemma 4 takes text, images and audio in one chat. Thinking models show their reasoning before the answer.
Identify resistor R4 and verify if 24V input causes thermal overload.
In chats with API models, the model can run Python and search the web. Needs internet.
import numpy as np
data = np.random.normal(50, 10, 500)
stats = {
"mean": float(np.mean(data)),
"std": float(np.std(data))
}
print(stats) Dictation with Whisper and 10 voices with Supertonic 3, both on the device.
"Summarize today's product decisions into bullet points..."
Stable Diffusion via MNN. On supported Snapdragon chips it runs on the Hexagon NPU at roughly 0.5 s per step.
Write HTML, CSS and JavaScript and see the result right away.
<canvas id="viewport"></canvas><script> const ctx = viewport.getContext('2d'); renderWaveParticles(ctx, Date.now());</script>Light, Dark, Ocean, Cyber, Aurora, Matrix, Midnight Gold, 24K Gold and 14 more.
Model catalog
Sizes are approximate. You can also import your own GGUF files or browse Hugging Face from inside the app.
Quantized open-weight models. Small enough for phones with limited RAM.
These write out their reasoning before the answer. You can read it in the chat.
The Gemma 4 models accept text, images and audio in the same chat.
Image description and Stable Diffusion via MNN. NPU variants need a supported Snapdragon chip.
Offline dictation with whisper.cpp and text-to-speech with Supertonic 3.
Gemma 4 31B runs at Infomaniak on renewable energy. Other models go through our gateway to the official APIs, with training disabled.
FAQ
Only to download models and app updates. After that, local chat, image generation and voice input work without a connection. Web search, BYOK API mode and the Python sandbox need internet when you use them.
The core is free: local chat, image generation, Whisper voice input, writing tools, OCR and custom tools. An optional subscription (CHF 14.90/mo) adds hosted models: Gemma 4 31B at Infomaniak on renewable energy, plus API models like GPT-5.6 Luna and DeepSeek, routed through our gateway with training disabled.
An isolated Python environment for chats with API models. With Power Mode on, the model can run code, call web APIs, analyze data and draw charts. It needs internet and your own API key.
The larger of Google's two on-device Gemma 4 models, running via LiteRT-LM. It accepts text, images and audio in the same chat and can optionally use web search.
Stable Diffusion runs on the device via the MNN engine. On supported Snapdragon chips, the NPU variants run on the Hexagon NPU, which is faster and uses less battery than the CPU.
Download a Whisper model in the app (Base or Enhanced). When you tap the microphone, the audio is transcribed on the phone and never uploaded.
By default, prompts, chats and files stay on the device. Data only leaves the phone when you use a cloud feature: model downloads, web search, your own API keys, or the hosted models.