Google unveils Gemma 3, nine months after Gemma 2! More powerful and accessible, it runs on a single GPU or TPU and understands over 140 languages. With improved text and image analysis capabilities, it integrates easily with existing tools. Google is also strengthening security with ShieldGemma 2, a sensitive content filter.
Key points:
- Gemma 3 is a more powerful and accessible AI model, optimized to run on a single GPU or TPU.
- It supports over 140 languages, facilitating its international adoption.
- Its advanced text and image analysis capabilities allow it to process a variety of content, including short videos.
- Google is focusing on security with ShieldGemma 2, a tool dedicated to detecting sensitive content.
Google Accelerates Innovation with Gemma 3
A year after the launch of the first version of Gemma, and 9 months after Gemma 2, Google continues its momentum by announcing Gemma 3 , a new generation of open source artificial intelligence models. Designed to be lightweight, powerful and adaptable, this model is based on the technology of Gemini 2.0 and aims to democratize AI, allowing it to run on a variety of hardware, from traditional PCs to cloud infrastructures.
Optimized performance
Gemma 3 stands out for its ability to deliver cutting-edge performance while remaining lightweight. Unlike other models that require multiple high-end graphics cards, Gemma 3 can run on a single GPU or TPU, making it much more accessible to researchers and businesses with limited computing power.
In early user preference tests on the LMArena benchmark, Gemma 3 outperformed competitors such as Llama-405B, DeepSeek-V3 and o3-mini, confirming its effectiveness at equal size.
Different sizes of models to suit needs
Gemma 3 is available in four versions :
- 1B parameters: for lightweight and mobile applications.
- 4B settings: balanced between power and resource consumption.
- 12B settings: ideal for advanced tasks with larger needs.
- 27B settings: the most powerful version, optimized for a single high-end GPU.
A truly multilingual AI
Gemma 3 supports over 140 languages. Unlike other models that struggle to understand anything other than English, this new model can efficiently handle complex texts in many languages, facilitating its international adoption.
Businesses and developers can design applications that can adapt to diverse markets without requiring heavy translation or additional training phases.
Advanced text and image analysis capabilities
One of the biggest advancements in Gemma 3 is its multimodal reasoning capabilities. It doesn’t just analyze text: it can also process images and even short videos.
An expanded context window for better understanding
Gemma 3 offers a 128,000-token context window, a boon for applications requiring in-depth understanding of long documents. This feature helps prevent conversation fragmentation and improves response relevance.
Automation with function calling
With support for function calling, Gemma 3 allows developers to build intelligent systems that can perform automated tasks based on user interactions. This paves the way for more efficient and interactive conversational agents.
Personalization and fine-tuning for tailor-made SEO
One of the great advantages of Gemma 3 for SEO is the ability to adapt it to specific needs through fine-tuning. Unlike closed models like Gemini, you can train Gemma on your own SEO data, such as archives of high-performing content, keyword lists, or editorial briefs.
This allows:
- to refine the tone and style of the texts to match your brand.
- to automatically optimize internal linking by generating suggestions for relevant links.
- to create advanced SEO scripts to automate on-page error detection or the generation of structured content in bulk.
A strong commitment to security with ShieldGemma 2
Google isn’t just improving the performance of its AI, it’s also focusing on security. This is why it developed ShieldGemma 2, a tool designed to detect and filter sensitive, violent, or explicit content.
This feature will be useful for developers seeking to integrate automatic moderation mechanisms into their applications, for safer use of AI.
A growing ecosystem with the “Gemmaverse”
With over 100 million downloads and 60,000 community-created variants, the Gemma model family has established itself in just one year as a key player in open source AI.
To further encourage innovation, Google is launching the Gemma 3 Academic Program, which will offer $10,000 in Google Cloud credits to researchers interested in experimenting with this model. This initiative should stimulate research and development around Gemma 3!
