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Recently, Google officially launched its latest text-to-image model **Imagen4** through the Gemini API, marking an important milestone in the field of generative AI (AIGC). According to Google's official blog and community feedback, Imagen4 has achieved breakthroughs in generating text within images, solving a long-standing technical bottleneck in AIGC, and providing developers with a tool for creating high-quality visual content. It is reported that the model comes in two versions: **Imagen4** and **Imagen4Ultra**, with respective pricing details yet to be fully disclosed.

Google's AI team recently announced the launch of Veo 2, its highly anticipated video generation model, via the Gemini API. This news has generated significant excitement in the tech world, marking a new era for AI video generation. Starting today, developers with billing enabled and Tier 1 access or higher can utilize the API to access Veo 2 and experience its powerful Text-to-Video and Image-to-Video capabilities.

Recently, Google officially launched its latest image generation model – Imagen 3, which is now available for developers through the Gemini API. This model excels in visual effects, capable of generating high-quality images in various styles, including surrealism, impressionist landscapes, abstract works, and anime characters. Imagen 3 not only enhances image clarity and composition capabilities but also simplifies text prompts to help users more easily translate their ideas into images. Initially, Imagen 3 will be accessible only to paying users.

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.