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Google has made the Gemini API available to developers so they can test and integrate Gemini Pro into their products and services. Gemini is Google’s most advanced multimodal AI model, capable of processing information from text, code, images and videos.
In addition, Google also unveiled Duet AI and Imagen 2 for workspace and text-to-image technology. To achieve a faster pace, the company offers it through Vertex AI and AI Studio, making it easier. Additionally, the company makes it free for everyone to use, but with a limit of 60 comments per minute.
Gemini API in Google AI Studio
All developers can log in with their Google account and start using the free quota. Users can also bring their existing code from Android Studio, Colab, or Project IDX to the IDE. Developers can use it for calling, embedding, semantic retrieval, and custom knowledge base with the free usage tier.
It enables real-time collaboration with people. This tool is aimed at developers, has a 32 KB context window and supports more than 38 languages. Artificial intelligence is one of the fast-growing technologies available in more than 180 countries. Compared to other companies’ offerings, Google Gemini AI offers a 20 times larger free quota. Gemini Pro will also be competitive, claiming to outperform GPT 3.5 on certain tasks.
From Google AI Studio, developers can obtain the API Toolkit, which allows users to automate repetitive developer tasks. The SDK is also available for Gemini Pro to build applications and help improve product quality and improve their products. There are two main reasons why Google AI Studio and Vertex AI are used. AI Studio is a web-based developer tool that allows users to quickly test in secure environments, while Vertex AI allows further customization of existing code for greater security.
Google monitors activity in the AI Studio for both input and output to train and improve performance. On the other hand, Vertex AI keeps the data safe and does not use this data to train their AI model. Gemini Pro accepts text as input and generates text as output.
How to create a Gemini API
Users can obtain their API key from AI Studio and Vertex AI.
The data is anonymized from the Google account and API key, as well as from Vertex AI on Google Cloud with the customization of Gemini with full data controls and benefits of Google Cloud features for enterprise security, safety, privacy and data management and compliance.
Gemini API Privacy
No pricing has been announced for the Gemini Pro and Gemini Pro Vision through Google AI Studio. Developers can use it for 60 requests per minute, and there is no charge until general availability, where the cost per 1000 characters or per image applies to AI Studio and Vertex AI.
| Fashion model | Import | $0.005/1K character |
| Gemini Pro | $0.00025/1k character | $0.005/1k characters |
| $0.0025/image |
The price is low because the company has upgraded its TPUs, which also deliver better performance. While the company continues to refine and build on Gemini at ai.google.dev, or leverage Vertex AI for its capabilities, using their own data set, protected with business controls.
How to use the Gemini API
Once developers obtain the Gemini API key, they can start building their generative AI. Together with the Gemini API, the company offers 130 foundation models. Moreover, developers can also build Gemini-powered search and conversation agents, making it easier even for beginners.
Google does not charge any additional fees at this time. However, early next year they will charge 1000 characters per image in Google AI Studio and Vertex AI. The Vertex AI platform provides tools for training, tuning, and deploying ML models. Once developers deploy their models, they can start processing information into text, code, images, and videos.
Additionally, Google plans to extend the API in Android Studio, Colab or Project IDX to improve the developer environment.