Last week, Google announced Gemini, the largest and most capable AI model and the next step in the company’s journey to make AI more helpful for everyone. It comes in three sizes: Ultra, Pro and Nano. Google has already started rolling out Gemini in their products, like Gemini Nano in Android, starting with Pixel 8 Pro, and a specifically tuned version of Gemini Pro is in Bard. The company is now making Gemini Pro available for developers and enterprises.
The first version of Gemini Pro is now accessible via the Gemini API and here’s more about it:
- Gemini Pro outperforms other similarly-sized models on research benchmarks.
- Today’s version comes with a 32K context window for text, and future versions will have a larger context window.
- It’s free to use right now, within limits, and it will be competitively priced.
- It comes with a range of features: function calling, embeddings, semantic retrieval and custom knowledge grounding and chat functionality.
- It supports 38 languages across 180+ countries and territories worldwide.
- In today’s release, Gemini Pro accepts text as input and generates text as output. Google also made a dedicated Gemini Pro Vision endpoint available today that accepts text and imagery as input, and text as output for multimodal use cases.
- SDKs are available for Gemini Pro to help build apps that run anywhere. Python, Android (Kotlin), Node.js, Swift and JavaScript are all supported.
Google AI Studio: The fastest way to build with Gemini
Google AI Studio is a free, web-based developer tool that enables you to quickly develop prompts and then get an API key to use in your app development. You can sign into Google AI Studio with your Google account and take advantage of the free quota, which allows 60 requests per minute — 20x more than other free offerings. When you’re ready, you can simply click on “Get code” to transfer your work to your IDE of choice, or use one of the quickstart templates available in Android Studio, Colab or Project IDX. To help us improve product quality, when you use the free quota, your API and Google AI Studio input and output may be accessible to trained reviewers. This data is de-identified from your Google Account and API key.
Build with Vertex AI on Google Cloud
When it’s time for a fully-managed AI platform, you can easily transition from Google AI Studio to Vertex AI, which allows for customization of Gemini with full data control and benefits from additional Google Cloud features for enterprise security, safety, privacy and data governance and compliance.
With Vertex AI, you will have access to the same Gemini models, and will be able to:
- Tune and distill Gemini with your own company’s data, and augment it with grounding to include up to minute information and extensions to take real-world actions.
- Build Gemini-powered search and conversational agents in a low code / no code environment, including support for retrieval-augmented generation (RAG), blended search, embeddings, conversation playbooks and more.
- Deploy with confidence. We never train our models on inputs or outputs from Google Cloud customers. Your data and IP are always your data and IP.
Gemini Pro pricing
Right now, developers have free access to Gemini Pro and Gemini Pro Vision through Google AI Studio, with up to 60 requests per minute. Vertex AI developers can try the same models, with the same rate limits, at no cost until general availability early next year, after which there will be a charge per 1,000 characters or per image across Google AI Studio and Vertex AI.
More info heGoogle Gemini Pro is Coming to Businesses and Developersre.
