Google AI Studio and Gemini API have recently launched the 'Real-Time Connection with Google Search' feature, aimed at helping developers improve the accuracy of AI model responses by integrating real-time data from Google Search. With this update, the Gemini 1.5 model can retrieve the latest information from Google Search, enhancing the accuracy and transparency of responses. Developers can directly access this feature in the 'Tools' section of Google AI Studio or in the Gemini API.

Recently, Google’s parent company Alphabet released its financial report for the third quarter of fiscal year 2024, and the results are encouraging. The company’s total revenue reached $88.3 billion, a 15% year-over-year increase. Among this, revenue from Google services amounted to $76.5 billion, a growth of 13%; while Google Cloud's revenue surged by 35%, reaching $11.4 billion. In this financial report, the contribution of artificial intelligence is particularly notable, with Google CEO Sundar Pichai stating that the company’s commitment to innovation and long-term investment in AI is continuously benefiting the company.

Google has launched the Gemini API's Gemini1.5Flash free plan, offering 1.5 billion free tokens every day, including 15 requests per minute, 1 million tokens per minute, and 1 million tokens per hour of context caching services, along with fully free tuning capabilities. This initiative aims to lower the barriers for developers to utilize AI technology, supporting the development of innovative applications. For small and medium-sized development teams, this will significantly reduce costs and provide convenience in R&D. This move is expected to attract more developers, driving growth.

Google's star AI model Gemini has launched a significant pricing strategy that dramatically reduces the cost of API usage, cutting costs by nearly 50% compared to its major competitor GPT-4o mini. The input costs for the Gemini 1.5 Flash model have dropped by about 85%, and output costs by about 80%, making it one of the lowest-cost AI services on the market. This price reduction not only lowers the entry barrier but also supports over 100 languages, introduces context caching, and batch processing API optimization services.