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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

The GPT-5.2 Thinking variant represents the pinnacle of capability within OpenAI's GPT-5.2 model series, designed specifically for in-depth reasoning and the execution of intricate tasks across various professional domains and extended contexts. Enhancements made to the core GPT-5.2 architecture focus on improving grounding, stability, and reasoning quality, allowing this version to dedicate additional computational resources and analytical effort to produce responses that are not only accurate but also well-structured and contextually enriched, especially in the face of complex workflows and multi-step analyses. Excelling in areas that demand continuous logical consistency, GPT-5.2 Thinking is particularly adept at detailed research synthesis, advanced coding and debugging, complex data interpretation, strategic planning, and high-level technical writing, showcasing a significant advantage over its simpler counterparts in assessments that evaluate professional expertise and deep understanding. This advanced model is an essential tool for professionals seeking to tackle sophisticated challenges with precision and expertise.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amp No 
Azure OpenAI Service No 
Devin No 
Doraverse No 
FastRouter No 
GPT-5.1-Codex-Max No 
Gemini Enterprise Agent Platform No 
GitHub No 
HTML No 
Java No 
JavaScript No 
Microsoft 365 Copilot No 
Microsoft Copilot Studio No 
Microsoft Foundry Models No 
Novelcrafter No 
PHP No 
PowerShell No 
Python No 
Wazzap AI No 
Zo Computer No 

Integrations

Amp Yes 
Azure OpenAI Service Yes 
Devin Yes 
Doraverse Yes 
FastRouter Yes 
GPT-5.1-Codex-Max Yes 
Gemini Enterprise Agent Platform Yes 
GitHub Yes 
HTML Yes 
Java Yes 
JavaScript Yes 
Microsoft 365 Copilot Yes 
Microsoft Copilot Studio Yes 
Microsoft Foundry Models Yes 
Novelcrafter Yes 
PHP Yes 
PowerShell Yes 
Python Yes 
Wazzap AI Yes 
Zo Computer Yes 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

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 Yes 
iPad App Yes 
Android App Yes 
Windows Yes 
Mac Yes 
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

OpenAI

Founded

2015

Country

United States

Website

openai.com

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

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