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Google has introduced Gemini 3 Flash, a new artificial intelligence (AI) model designed to deliver high-level intelligence with faster processing speeds and at lower costs. The model, launched on December 17, 2025, is now the default AI model in the Gemini app globally and is beginning to roll out as the default for AI Mode in
Search worldwide . The new model joins the Gemini 3 family, which includes the Gemini 3 Pro and Gemini 3 Deep Think mode introduced last month. Since the initial launch, Google has been processing over 1 trillion tokens daily through its API . Gemini 3 Flash maintains the advanced reasoning capabilities of its predecessors while offering improved speed and efficiency, with performance metrics comparable to larger frontier models .The new model is capable of processing information three times faster than its predecessor and at a fraction of the cost, priced at $0.50 per million input tokens and $3 per million output tokens
. It uses 30% fewer tokens on average than Gemini 2.5 Pro while delivering higher performance. Developers have praised its performance on SWE-bench Verified, achieving a 78% score, outperforming both the 2.5 series and Gemini 3 Pro . The model also excels in benchmarks such as GPQA Diamond and MMMU Pro, scoring 90.4% and 81.2% respectively . Companies including JetBrains, Bridgewater Associates, and Figma are already using the model, which is available through various developer tools such as the Gemini API, Vertex AI, and the Gemini CLI .Google Search will leverage Gemini 3 Flash to handle complex queries more efficiently, offering users more refined and nuanced search results. This includes scenarios like finding the best evening activities for parents with young children
. The model is also set to power the premium version of Google's image generation tool, Nano Banana, within AI Mode . The upgrade aims to improve the global search experience by enabling AI Mode to handle complex questions with greater precision while maintaining speed . Gemini 3 Flash's launch comes as Google continues to assert its leadership in the AI space, following the recent introduction of Gemini 3 Pro .Google's announcement of Gemini 3 Flash has been met with positive reactions from developers and partner companies, who are already integrating the model into their workflows
. The model's efficiency and cost-effectiveness make it an attractive option for a wide range of applications, from enterprise AI to consumer-facing tools . The shift to Gemini 3 Flash as the default model in Google Search and the Gemini app is expected to enhance user experience and solidify Google's competitive edge in the AI market . The company's continued focus on improving AI performance while lowering costs aligns with its broader strategy to make advanced AI capabilities accessible to a broader audience .The release of Gemini 3 Flash underscores Google's ongoing efforts to refine and expand its AI offerings. The model's introduction follows a period of intense competition in the AI space, with rivals like OpenAI recently launching its GPT-5.2 model
. Google's ability to rapidly iterate and improve its AI models positions it as a key player in the evolving landscape of artificial intelligence. By offering a more efficient and affordable model, Google aims to attract developers and businesses looking to implement AI without incurring high costs or compromising performance . The company's strategic move to make Gemini 3 Flash the default model in its products is expected to drive further adoption and reinforce its position in the market .Google's launch of Gemini 3 Flash marks a significant step in the company's AI development journey. The model's enhanced speed, efficiency, and cost-effectiveness are set to benefit a wide range of users, from developers to everyday consumers. As the default model in Google Search and the Gemini app, Gemini 3 Flash is poised to deliver more precise and nuanced results, improving the overall user experience. With the AI landscape continuing to evolve, Google's commitment to innovation and accessibility will likely shape the future of AI integration across its platforms. The success of Gemini 3 Flash will depend on its ability to meet the growing demands of users and maintain Google's leadership in the competitive AI market.
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