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ease
features
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support

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Description

Introducing the Gemini 2.5 Computer Use model, an advanced agent built upon the visual reasoning strengths of Gemini 2.5 Pro, specifically crafted for direct interaction with user interfaces (UIs). This model is accessible through a newly developed computer-use tool within the Gemini API, which takes inputs such as the user's request, a screenshot of the UI context, and a log of recent actions. It adeptly generates function calls relevant to UI tasks, including clicking, typing, or selecting, while also having the capability to seek user confirmation for tasks deemed higher risk. Following each performed action, the model receives updated feedback in the form of a new screenshot and URL to facilitate a continuous process until the task is either completed or stopped. Primarily fine-tuned for web browser navigation, it also shows potential for mobile UI interactions, although it currently lacks the capability for desktop OS-level management. In various benchmarks comparing web and mobile control tasks, the Gemini 2.5 Computer Use model demonstrates superior performance over leading competitors, achieving remarkable accuracy with reduced latency, and paving the way for future enhancements in interface interaction.

Description

The Gemini Embedding's inaugural text model, known as gemini-embedding-001, is now officially available through the Gemini API and Gemini Enterprise Agent Platform, having maintained its leading position on the Massive Text Embedding Benchmark Multilingual leaderboard since its experimental introduction in March, attributed to its outstanding capabilities in retrieval, classification, and various embedding tasks, surpassing both traditional Google models and those from external companies. This highly adaptable model accommodates more than 100 languages and has a maximum input capacity of 2,048 tokens, utilizing the innovative Matryoshka Representation Learning (MRL) method, which allows developers to select output dimensions of 3072, 1536, or 768 to ensure the best balance of quality, performance, and storage efficiency. Developers are able to utilize it via the familiar embed_content endpoint in the Gemini API.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Gemini
Gemini Enterprise
Gemini Enterprise Agent Platform
Google AI Studio
Gemini 2.5 Pro
Gemini 3 Deep Think
Python

Integrations

Gemini
Gemini Enterprise
Gemini Enterprise Agent Platform
Google AI Studio
Gemini 2.5 Pro
Gemini 3 Deep Think
Python

Pricing Details

Free
Free Trial
Free Version

Pricing Details

$0.15 per 1M input tokens
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

blog.google/technology/google-deepmind/gemini-computer-use-model/

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

developers.googleblog.com/en/gemini-embedding-available-gemini-api/

Product Features

Product Features

Alternatives

Lux Reviews

Lux

OpenAGI Foundation

Alternatives