{"id":32712,"date":"2025-04-10T11:18:59","date_gmt":"2025-04-10T03:18:59","guid":{"rendered":"https:\/\/www.1ai.net\/?p=32712"},"modified":"2025-04-10T11:18:59","modified_gmt":"2025-04-10T03:18:59","slug":"%e8%b0%b7%e6%ad%8c%e5%8f%91%e5%b8%83-gemini-2-5-flash-ai-%e6%a8%a1%e5%9e%8b%ef%bc%9a%e4%b8%93%e4%b8%ba%e7%9c%81%e9%92%b1%e9%ab%98%e6%95%88%e8%80%8c%e7%94%9f","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/32712.html","title":{"rendered":"Google releases Gemini 2.5 Flash AI model: built to save money and be efficient"},"content":{"rendered":"<p>April 10 news.<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e8%b0%b7%e6%ad%8c\" title=\"[View articles tagged with [Google]]\" target=\"_blank\" >Google<\/a>Today launched a new product called <a href=\"https:\/\/www.1ai.net\/en\/tag\/gemini\" title=\"[View articles tagged with [Gemini]]\" target=\"_blank\" >Gemini<\/a> 2.5 New in Flash <a href=\"https:\/\/www.1ai.net\/en\/tag\/ai%e6%a8%a1%e5%9e%8b\" title=\"[View articles tagged with [AI models]]\" target=\"_blank\" >AI Models<\/a>,<strong>The model focuses on high performance and delivers strong performance.<\/strong><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-32713\" title=\"3217ca28j00suhfum000rd000ol00eep\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2025\/04\/3217ca28j00suhfum000rd000ol00eep.jpg\" alt=\"3217ca28j00suhfum000rd000ol00eep\" width=\"885\" height=\"518\" \/><\/p>\n<p>1AI understands that Gemini 2.5 Flash is coming to Google's AI development platform, Vertex AI. Google says that<strong>The model has \"dynamic and controllable\" computational capabilities, allowing developers to flexibly adjust processing times based on the complexity of the query request.<\/strong>. In a blog post, Google wrote, \"You can adjust the balance between speed, accuracy, and cost for specific needs. This flexibility is critical to optimizing Flash's performance in high-volume, cost-sensitive applications.\"<\/p>\n<p>Currently, the cost of flagship AI models is showing an increasing trend of<strong>Lower priced models like the Gemini 2.5 Flash, which offer excellent performance (though perhaps a little less accuracy), provide a more attractive alternative.<\/strong><\/p>\n<p><strong>Gemini 2.5 Flash is a \"reasoning\" model.<\/strong>The fact that it is similar to OpenAI's o3-mini and DeepSeek's R1 means that it will take slightly longer to fact-check when answering questions.<\/p>\n<p>Google notes that<strong>Gemini 2.5 Flash is ideally suited for \"high volume\" and \"real time\" applications.<\/strong>, such as customer service and document parsing. In its blog post, Google mentions, \"Optimized specifically for low latency and reduced costs, this workhorse model is the ideal engine for responsive virtual assistants and real-time summarization tools, where efficiency is key in large-scale applications.\"<\/p>\n<p>However, Google has yet to release a security or technical report on Gemini 2.5 Flash, making it difficult to get a clear picture of where the model excels and where it falls short. Google has previously stated that it does not issue reports on models that it considers \"experimental\".<\/p>\n<p>Additionally, Google announced on Wednesday that it plans to bring Gemini models, such as 2.5 Flash, to local environments starting in the third quarter. Google's Gemini models will be available on the Google Distributed Cloud (GDC), a local solution that Google offers to customers with stringent data governance requirements. Google said the company is working with NVIDIA to bring Gemini models to GDC-compliant NVIDIA Blackwell systems, which customers can purchase through Google or their preferred channel.<\/p>","protected":false},"excerpt":{"rendered":"<p>April 10, 2011 - Google today unveiled a new AI model called Gemini 2.5 Flash, which focuses on high performance and delivers strong performance. According to 1AI, Gemini 2.5 Flash will soon be available on Vertex AI, Google's AI development platform, and the company says the model has \"dynamic and controlled\" computational power, allowing developers to flexibly adjust processing times based on the complexity of a query request. In a blog post, Google wrote: \"You can adjust the balance between speed, accuracy, and cost for specific needs. This flexibility is critical to optimizing Flash's performance in high-volume, cost-sensitive applications.\" Currently, the flagship AI model for<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[167,436,281],"collection":[],"class_list":["post-32712","post","type-post","status-publish","format-standard","hentry","category-news","tag-ai","tag-gemini","tag-281"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/32712","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=32712"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/32712\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=32712"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=32712"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=32712"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=32712"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}