Ferret

Ferret

Apple
+
+

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About

An End-to-End MLLM that Accept Any-Form Referring and Ground Anything in Response. Ferret Model - Hybrid Region Representation + Spatial-aware Visual Sampler enable fine-grained and open-vocabulary referring and grounding in MLLM. GRIT Dataset (~1.1M) - A Large-scale, Hierarchical, Robust ground-and-refer instruction tuning dataset. Ferret-Bench - A multimodal evaluation benchmark that jointly requires Referring/Grounding, Semantics, Knowledge, and Reasoning.

About

Gemini 2.5 Pro is an advanced AI model designed to handle complex tasks with enhanced reasoning and coding capabilities. Leading common benchmarks, it excels in math, science, and coding, demonstrating strong performance in tasks like web app creation and code transformation. Built on the Gemini 2.5 foundation, it features a 1 million token context window, enabling it to process vast datasets from various sources such as text, images, and code repositories. Available now in Google AI Studio, Gemini 2.5 Pro is optimized for more sophisticated applications and supports advanced users with improved performance for complex problem-solving.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI and LLM developers

Audience

Developers, data scientists, and enterprises seeking powerful AI solutions for complex tasks and advanced problem-solving

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Open source
Free Version
Free Trial

Pricing

$19.99/month
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • I just started using Gemini 2.5 Pro today, and I’m already impressed. The reasoning capabilities are top-notch, allowing it to analyze complex problems with ease. It’s performing exceptionally well on tasks that require advanced logic, like coding and math challenges. The 1 million token context window is a game-changer for handling large datasets without lag, and it seamlessly processes multiple sources of information, including text, images, and code.

Cons

  • Literally have not found any cons to speak of. The model is amazing.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Apple
Founded: 1976
United States
github.com/apple/ml-ferret

Company Information

Google
Founded: 1998
United States
deepmind.google/models/gemini/

Alternatives

Qwen3.5-Omni

Qwen3.5-Omni

Alibaba

Alternatives

Qwen3.7-Plus

Qwen3.7-Plus

Alibaba
MiniMax M3

MiniMax M3

MiniMax

Categories

Categories

Integrations

Agent Platform Vision
AiAssistWorks
Aider
Android Studio
Anything
Bind AI
C++
Clawd.run
ClickUp Brain
CometAPI
Dyad
Gemini
Google AI Studio
Google Opal
JavaScript
Julia
Muses
Ruby
Shiori
Visual Basic

Integrations

Agent Platform Vision
AiAssistWorks
Aider
Android Studio
Anything
Bind AI
C++
Clawd.run
ClickUp Brain
CometAPI
Dyad
Gemini
Google AI Studio
Google Opal
JavaScript
Julia
Muses
Ruby
Shiori
Visual Basic
Claim Ferret and update features and information
Claim Ferret and update features and information
Claim Gemini 2.5 Pro and update features and information
Claim Gemini 2.5 Pro and update features and information