India, April 3 -- Even as Google releases the Gemma 4, its open large language models, there is a short historical significance to it. These models find the same technological and research foundations as the Gemini 3 Pro models, released late last year, and marked a big step forward for proprietary large language models. Gemma 4 brings those improvements for open models, with a focus on advanced reasoning and agentic workflows. It is natively trained on over 140 languages.

Gemma 4, with four being the generation reference in the name, is available in four model sizes as well. There's the Effective 2B (E2B), Effective 4B (E4B), 26B Mixture of Experts (MoE), and 31B Dense. The 26B and 31B models are geared for frontier intelligence, with o...