Last week, Google announced Gemini, its largest and most capable AI model and the next step in its 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 its products: Gemini Nano is in Android, starting with Pixel 8 Pro, and a specifically tuned version of Gemini Pro is in Bard.
Today, Google is making Gemini Pro available for developers and enterprises to build for their own use cases and will be further fine-tuning it in the weeks and months ahead as they listen and learn from user feedback.
Gemini Pro is available today
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 has 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 users 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 users to quickly develop prompts and then get an API key to use in app development. Users can sign into Google AI Studio with their Google account and take advantage of the free quota, which allows 60 requests per minute — 20x more than other free offerings. Users can simply click on “Get code” to transfer their work to their IDE of choice, or use one of the quickstart templates available in Android Studio, Colab or Project IDX. To help Google improve product quality, when users use the free quota, the API and Google AI Studio input and output may be accessible to trained reviewers. This data is de-identified from users’ Google Accounts and API key.
Build with Vertex AI on Google Cloud
When it’s time for a fully managed AI platform, users can easily transition from Google AI Studio to Vertex AI, which allows for customisation 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, users will have access to the same Gemini models, and will be able to:
- Tune and distill Gemini with their 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. Google never trains their models on inputs or outputs from Google Cloud customers. User data and IP are always their 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, making it suitable for most app development needs. 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.
A screenshot of input and output prices for Gemini Pro.
Looking ahead
We’re excited that Gemini is now available to developers and enterprises. As we continue to fine-tune it, your feedback will help us improve. You can learn more and start building with Gemini on ai.google.dev, or use Vertex AI’s robust capabilities on your own data with enterprise-grade controls.
Early next year, we’ll launch Gemini Ultra, our largest and most capable model for highly complex tasks, after further fine-tuning, safety testing and gathering valuable feedback from partners. We’ll also bring Gemini to more of our developer platforms like Chrome and Firebase.
We’re excited to see what you build with Gemini.
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