According to @GoogleAI, the Gemma 3B E4B model is a significant breakthrough in the AI industry, supporting over 140 languages for text, 35 languages for multimodal understanding, and delivering major improvements in math, coding, and reasoning tasks. Notably, it is the first model under 10 billion parameters to surpass a 1300 score on the Lmarena AI benchmark, showcasing efficient performance and broad applicability for global, multilingual, and cross-domain AI solutions (source: @GoogleAI via Twitter, goo.gle/gemma-3n-general-ava).

According to Sundar Pichai on Twitter, the Gemini 2.5 Pro update is now in preview and delivers significant improvements in AI coding, reasoning, scientific, and mathematical capabilities. The update demonstrates higher performance across key industry benchmarks such as AIDER Polyglot, GPQA, and HLE. Notably, Gemini 2.5 Pro leads the @lmarena_ai leaderboard with a 24-point Elo score increase compared to the previous version (source: Sundar Pichai, Twitter, June 5, 2025). These advancements signal new business opportunities for enterprises looking to integrate state-of-the-art AI for software development, scientific research, and data analysis.