---
title: "Google releases Gemma 4, a family of open models built off of Gemini 3"
slug: "google-releases-gemma-4-a-family-of-open-models-built-off-of-gemini-3"
date: 2026-04-02
category: tech-pub
tags: [google, open-source]
language: en
sources_count: 1
featured: false
publisher: AInauten News
url: https://news.ainauten.com/en/story/google-releases-gemma-4-a-family-of-open-models-built-off-of-gemini-3
---

# Google releases Gemma 4, a family of open models built off of Gemini 3

**Published**: 2026-04-02 | **Category**: tech-pub | **Sources**: 1

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## TL;DR

- Google releases Gemma 4, a family of open-weight models derived from the technology behind Gemini 3.

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## Summary

- Google releases Gemma 4, a family of open-weight models derived from the technology behind Gemini 3.
- Four variants are available: 2B and 4B 'Effective' models for edge devices like smartphones, plus a 26B Mixture-of-Experts and a 31B Dense model for more powerful hardware.
- The models are released as open-weight – weights are freely accessible, though full training code remains proprietary.
- Google is bringing core Gemini 3 architecture and research to the open-source community.

---

## Why it matters

Google releases Gemma 4, a family of open-weight models derived from the technology behind Gemini 3.

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## Key Points

- Google releases Gemma 4, a family of open-weight models derived from the technology behind Gemini 3.
- Four variants are available: 2B and 4B 'Effective' models for edge devices like smartphones, plus a 26B Mixture-of-Experts and a 31B Dense model for more powerful hardware.
- The models are released as open-weight – weights are freely accessible, though full training code remains proprietary.
- Google is bringing core Gemini 3 architecture and research to the open-source community.

---

## Nauti's Take

Google is playing a clever game here: Gemini 3 remains the premium paid offering, while Gemma 4 as open-weight builds developer goodwill and ecosystem lock-in. The four-tier lineup – from 2B for smartphones to 31B Dense – shows Google is finally addressing the full hardware stack rather than just one benchmark-friendly sweet spot. The caveat remains: 'open-weight' is not the same as 'open source' – those wanting full training data and code are still out of luck. That said, for most practical use cases the weight release is what matters, and Google delivers solidly here.

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## FAQ

**Q:** What is Google releases Gemma 4, a family of open models built off of Gemini 3 about?

**A:** - Google releases Gemma 4, a family of open-weight models derived from the technology behind Gemini 3.

**Q:** Why does it matter?

**A:** Google releases Gemma 4, a family of open-weight models derived from the technology behind Gemini 3.

**Q:** What are the key takeaways?

**A:** Google releases Gemma 4, a family of open-weight models derived from the technology behind Gemini 3.. Four variants are available: 2B and 4B 'Effective' models for edge devices like smartphones, plus a 26B Mixture-of-Experts and a 31B Dense model for more powerful hardware.. The models are released as open-weight – weights are freely accessible, though full training code remains proprietary.

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## Related Topics

- [google](https://news.ainauten.com/en/tag/google)
- [open-source](https://news.ainauten.com/en/tag/open-source)

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## Sources

- [Google releases Gemma 4, a family of open models built off of Gemini 3](https://www.engadget.com/ai/google-releases-gemma-4-a-family-of-open-models-built-off-of-gemini-3-160000332.html?src=rss) - Engadget

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## About This Article

This article is a synthesis of 1 sources, curated and summarized by AInauten News. We aggregate AI news from trusted sources and provide bilingual (German/English) coverage.

**Publisher**: [AInauten](https://www.ainauten.com) | **Site**: [news.ainauten.com](https://news.ainauten.com)

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*Last Updated: 2026-04-02*