Google announced the general availability of Gemini 2.0 Flash and expanded access to AI models through Google AI Studio and Vertex AI’s Gemini API. The company has also launched an experimental version of Gemini 2.0 Pro aimed at improving coding performance and handling complex prompts, bringing the Gemini 2.0 Flash-Lite, the most cost-effective model to date.
Gemini 2.0 Flash now widely available
The Flash series, first introduced in Google I/O 2024, is positioned as a fast, low-latency model optimized for large-scale AI tasks. Gemini 2.0 Flash now improves performance with key benchmarks, which are configured to unlock image generation and text-to-speech capabilities over the coming months.
This model supports 1 million token context windows and multimodal inference, making it extremely effective at processing huge amounts of information. Developers can now integrate 2.0 Flash into production applications via Google AI Studio and Vertex AI.
Gemini 2.0 Pro Experimental Targets advances AI use cases
Google has also introduced the Gemini 2.0 Pro (experimental), an AI model designed for performance and complex prompt handling. The model features 2 million token context windows to enable comprehensive analysis and understanding of large datasets. It also integrates Google search and code execution tools to enhance inference and knowledge search.
“Today, we are releasing an experimental version of Gemini 2.0 Pro that responds to that feedback. Koray Kavukcuoglu, CTO at Google DeepMind, said:
Gemini 2.0 Pro is now available in Gemini Advanced Users via Google AI Studio, Vertex AI, and Desktop and Mobile.
Introducing Gemini 2.0 Flashlight for a cost-effective AI solution
Google is also rolling out the Gemini 2.0 Flash-Lite, a public preview model that improves with 1.5 flash while maintaining the same speed and cost-effectiveness. It supports 1 million token context windows and multimodal input, allowing you to generate AI-driven content at scale.
According to Google, Flash-Lite can generate captions for around 40,000 unique images for less than a dollar in the paid tier of Google AI Studio. This model is now available for developers in Google AI Studio and Vertex AI.
Security and responsible AI development
As AI capabilities expand, Google has highlighted safety measures for the Gemini 2.0 family. The company has implemented reinforcement learning technology that allows Gemini to criticize its response, improving its accuracy and ability to handle sensitive prompts.
Additionally, Google is deploying an automated red team to identify security risks, including indirect rapid injection attacks where malicious instructions are built into data that AI models may retrieve. .
Google plans to continue improving its Gemini 2.0 lineup, with additional multimodal features set to be released in the coming months. Developers and businesses can explore models with Google AI Studio and Vertex AI. More details can be found on the Google for Developers blog.
