Di Yi Cai Jing·2025-12-18 00:29Core Insights - Google has launched the Gemini 3 Flash model, which is the fastest and most cost-effective model in the Gemini 3 series, outperforming flagship models in certain performance metrics while being cheaper [1][3]. Performance and Efficiency - Gemini 3 Flash surpasses the previous flagship model 2.5 Pro in performance and is three times faster, with significantly lower pricing [3]. - In benchmark tests, Gemini 3 Flash scored 78% in SWE-bench Verified, outperforming Gemini 3 Pro and Claude Sonnet 4.5, and achieved 81.2% in MMMU-Pro, exceeding GPT-5.2 by several percentage points [3][4]. Cost Structure - The input cost for Gemini 3 Flash is $0.50 per million tokens, while the output cost is $3.00 per million tokens, making it the most cost-effective model compared to Claude Sonnet 4.5 ($15.00) and GPT-5.2 ($14.00) [5][6]. User Adoption and Market Position - The model is expected to reduce costs for developers by 50%-70% compared to previous models like GPT-4o or Gemini 3 Pro, making it accessible even to free users [8]. - Since its launch, Gemini 3 has been widely adopted, processing over 1 trillion tokens daily, and is used for various applications including code simulation and interactive game design [8][9]. Competitive Landscape - With the introduction of Gemini 3 Flash, Google aims to solidify its position as a leader in the large model space, having recently surpassed OpenAI in market recognition [8][9].