---
title: "Google Gemma 4 12B nearly matches 26B benchmarks — and runs on your laptop"
url: https://daily.dev/posts/google-gemma-4-12b-nearly-matches-26b-benchmarks-and-runs-on-your-laptop-puddqbhky
source_url: https://thenewstack.io/google-gemma-local-ai
type: article
source: "The New Stack"
published: 2026-06-04T19:37:34.201Z
updated: 2026-06-05T09:02:50.993Z
tags: ["llm", "multimodal", "local-ai", "gemma"]
reading_time: 5
upvotes: 0
comments: 0
language: en
---

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# Google Gemma 4 12B nearly matches 26B benchmarks — and runs on your laptop

**[The New Stack](https://daily.dev/sources/newstack)** · 5 min read · 0 upvotes · 0 comments

## Summary

Google has released Gemma 4 12B, a new model that fits within 16GB of VRAM or unified memory, making it runnable on standard consumer laptops. Despite its smaller size, it benchmarks nearly on par with the Gemma 4 26B model and even surpasses it on DocVQA. A key differentiator is its unified, encoder-free architecture that supports native audio inputs by projecting raw audio signals directly into the LLM backbone — a first for a mid-sized Gemma model. Developer communities have responded positively, particularly around the native audio support and local inference potential. Some skepticism exists around coding performance compared to alternatives like Qwen. The release highlights a broader trend toward on-device AI, where local inference offers privacy and eliminates per-token cloud costs.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenewstack.io/google-gemma-local-ai>

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---

Tags: [#llm](https://daily.dev/tags/llm), [#multimodal](https://daily.dev/tags/multimodal), [#local-ai](https://daily.dev/tags/local-ai), [#gemma](https://daily.dev/tags/gemma)

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