---
title: Gemma 3n pushes mobile AI with elastic MatFormer depth
description: "Via Google DeepMind Blog: Google DeepMind ships Gemma 3n after a thriving Gemmaverse topped **160 million** downloads proved demand for lean, capable models...."
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### Gemma 3n pushes mobile AI with elastic MatFormer depth

Google DeepMind Blog • October 25, 2025 at 1:54 PM ET

[×](/da/dev?tab=deepmind)

Google DeepMind ships Gemma 3n after a thriving Gemmaverse topped **160 million** downloads proved demand for lean, capable models. Built for developers who stretched prior releases across robotics, vision and medical workloads, this mobile-first line brings frontier-grade multimodal sense and reason onto devices without cloud calls, pairing native text, image, audio and video inputs with fast on-device tuning through familiar runtimes.

MatFormer drives elastic sizing by nesting a 2B effective parameter (E2B) sub-model inside the 4B (E4B) core, letting teams pick ready weights or slice custom widths via Mix-n-Match. **Per-Layer Embeddings** keep most weights on CPU so accelerators hold only transformer cores, while KV Cache Sharing doubles prefill speed and USM audio tokens enable **speech-to-text** and translation for long-tail languages within tight memory.

E4B tops 1300 on LMArena as the first sub-10B model to reach that score, with 140-language text support and 35-language multimodal sense baked in. Developers can pull distilled checkpoints today and deploy vision, voice and reasoning pipelines that respect device constraints without surrendering quality.

[Read original article](https://deepmind.google/blog/introducing-gemma-3n-the-developer-guide/)

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- [Announcing Gemma 3n preview: Powerful, efficient, mobile-first AI](https://headlinesbriefing.com/da/home/google-unveils-gemma-3n-mobile-ai-model-954b5ee2)
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