Core Viewpoint - Google has launched Gemini 3 Flash, claiming it to be their largest upgrade to date, just a month after the release of Gemini 3 Pro and six months after Gemini 2.5 Pro Flash [1]. Group 1: Product Features and Performance - Gemini 3 Flash is reported to have improved speed and efficiency while maintaining intelligence levels, outperforming the previous flagship model, Gemini 2.5 Pro [5][9]. - In testing, Gemini 3 Flash achieved an 81.2% score in the MMMU Pro test, matching the new flagship model 3 Pro, and scored 78% in the SWE-bench coding benchmark, only behind GPT-5.2 [7]. - The pricing for Gemini 3 Flash is significantly lower, with a token cost of $0.5 per million tokens for input and $3 per million tokens for output, making it 30% cheaper than Gemini 2.5 Pro while being three times faster [9]. Group 2: Market Implications and Competitive Landscape - The release of Gemini 3 Flash is seen as a strategic move by Google to enhance its ecosystem, integrating it into Google Search and other services, which could potentially overshadow competitors [18]. - The introduction of Gemini 3 Flash has raised concerns within OpenAI, indicating that the competitive landscape may shift as Google leverages its ecosystem advantages [18][19]. - The expectation is that the era of merely competing on model parameters may be coming to an end, as Google aims to make AI as accessible as utilities like water and electricity [19].
我愿将免费的Gemini3 Flash,称为谷歌的无解阳谋