Published on April 3, 2026 at 17:50
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With Gemma 4, Google is offering four open-source artificial intelligences, each with specific performance capabilities. The American company now positions itself as a major competitor against Chinese giants like DeepSeek and Qwen (Alibaba).

Google has just made a big move in the artificial intelligence sector by introducing Gemma 4. Important note: it's not one, but rather four AI models that were presented in a video by the French Olivier Lacombe, software engineer at Google DeepMind. 

Distributed under the Apache 2.0 license. and based on the architecture of Gemini 3, Gemma 4 is therefore available in four versions: Gemma 4 E2B (lightweight and fast, designed to run on smartphones), Gemma 4 E4B (also designed for smartphones, but capable of more complex reasoning and handling heavier tasks), Gemma 4 26B (intended for laptops due to its higher performance), and finally Gemma 4 31B Dense (the heaviest and most powerful model, designed for workstations and servers).

Each of these models is therefore suited to performance needs, whether on smartphone, laptop or desktop computer.

An open source model

The major difference between Gemma 4 and Gemini 3 is its open source nature. Specifically, the Gemma 4 models, under Apache 2.0 license, can be downloaded locally, modified, and even commercialized. In other words, the different models are open to developers. Therefore, the open-source nature of Gemma 4 allows those who download one of the four models to optimize their tools and significantly enhance privacy, as each can run offline.

For Google, Gemma 4 allows the American company to provide a guarantee of transparency to its ecosystem, but more importantly, it positions itself as a strong competitor against certain Chinese giants who have released their AI (partially) as open source, such as DeepSeek or Qwen (Alibaba). For yes, the Gemma 4 models rival, or even surpass, some models from DeepSeek and Qwen.

Impressive performance

The features of Gemma 4 presented by Google are impressive: trained on over 140 languages, context window up to 128K or 256K (depending on the model), native functions for deploying autonomous agents, offline code generation, integrated reasoning mode that allows the model to think step by step before responding, native multimodal support (understands and processes different types of content, such as text, videos, photos, etc.).

As we can see from the graph below, the 31B model, which is the most powerful in the Gemma 4 family, ranks third among open models on the Arena AI benchmark. Thus, it competes with Qwen 3.5-397B-A17B and surpasses Deepseek-v3.2-exp-thinking. 

Google Gemma 4Source : Google

With Gemma 4, Google thus responds to the impressive advances made by China in the field of open-source AI, while reinforcing its leadership position in the industry.

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Source : Google

Jérémy Olcina
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