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Description

An advanced End-to-End MLLM is designed to accept various forms of references and effectively ground responses. The Ferret Model utilizes a combination of Hybrid Region Representation and a Spatial-aware Visual Sampler, which allows for detailed and flexible referring and grounding capabilities within the MLLM framework. The GRIT Dataset, comprising approximately 1.1 million entries, serves as a large-scale and hierarchical dataset specifically crafted for robust instruction tuning in the ground-and-refer category. Additionally, the Ferret-Bench is a comprehensive multimodal evaluation benchmark that simultaneously assesses referring, grounding, semantics, knowledge, and reasoning, ensuring a well-rounded evaluation of the model's capabilities. This intricate setup aims to enhance the interaction between language and visual data, paving the way for more intuitive AI systems.

Description

Gemini 3 Pro is a next-generation AI model from Google designed to push the boundaries of reasoning, creativity, and code generation. With a 1-million-token context window and deep multimodal understanding, it processes text, images, and video with unprecedented accuracy and depth. Gemini 3 Pro is purpose-built for agentic coding, performing complex, multi-step programming tasks across files and frameworks—handling refactoring, debugging, and feature implementation autonomously. It integrates seamlessly with development tools like Google Antigravity, Gemini CLI, Android Studio, and third-party IDEs including Cursor and JetBrains. In visual reasoning, it leads benchmarks such as MMMU-Pro and WebDev Arena, demonstrating world-class proficiency in image and video comprehension. The model’s vibe coding capability enables developers to build entire applications using only natural language prompts, transforming high-level ideas into functional, interactive apps. Gemini 3 Pro also features advanced spatial reasoning, powering applications in robotics, XR, and autonomous navigation. With its structured outputs, grounding with Google Search, and client-side bash tool, Gemini 3 Pro enables developers to automate workflows and build intelligent systems faster than ever.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AiAssistWorks No 
Anything No 
Bind AI No 
Claw Code No 
Clojure No 
CometAPI No 
Gemini 3.1 Flash Image No 
Gemini CLI No 
GitHub No 
Google Antigravity No 
Google Opal No 
Java No 
LobeHub No 
Manus AI No 
PHP No 
Playables Builder No 
Skymel No 
Sup AI No 
Thesys Agent Builder No 
Use AI No 

Integrations

AiAssistWorks Yes 
Anything Yes 
Bind AI Yes 
Claw Code Yes 
Clojure Yes 
CometAPI Yes 
Gemini 3.1 Flash Image Yes 
Gemini CLI Yes 
GitHub Yes 
Google Antigravity Yes 
Google Opal Yes 
Java Yes 
LobeHub Yes 
Manus AI Yes 
PHP Yes 
Playables Builder Yes 
Skymel Yes 
Sup AI Yes 
Thesys Agent Builder Yes 
Use AI Yes 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Pricing Details

$19.99/month
$2 per million tokens (input)
$12 per million tokens (output)
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Apple

Founded

1976

Country

United States

Website

github.com/apple/ml-ferret

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

deepmind.google/models/gemini/

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