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Google AI Studio

Google AI Studio is a platform for building and deploying AI applications using Google's latest models. It provides tools for prompt engineering, model fine-tuning, and application development with access to models like Gemini and Gemma.

Company Information

Founded

2023

Headquarters

Mountain View, California, USA

CEO

Sundar Pichai

Employees

156,500+

Funding

Public Company

Valuation

$1.8T+

Specialties
AI Development
Model Deployment
Prompt Engineering
Fine-tuning
Key Products
Google AI Studio
Gemini Models
Gemma Models
Available Models (4)

Gemini 2.0 Flash

128,000 tokens

A fast, efficient multimodal model from Google's Gemini 2.0 family with a 128,000-token context window, supporting text, image, and basic video understanding. It delivers strong performance for everyday tasks like content creation, image analysis, and quick coding, offering a cost-effective solution with excellent speed and scalability.

General Purpose
Multimodal

Gemini 2.0 Pro

128,000 tokens

Google's flagship model in the Gemini 2.0 family, combining strong reasoning, multimodal understanding, and extensive knowledge with a 128,000-token context window. It excels in complex tasks demanding sophisticated reasoning, such as in-depth analysis, nuanced content creation, and advanced coding projects. Gemini 2.0 Pro offers balanced capabilities across text, code, and image understanding, making it well-suited for professional applications and development workflows.

General Purpose
Multimodal

Gemma 3 4B

128,000 tokens

A compact multimodal model from Google's Gemma 3 family with a 128,000-token context window, capable of processing both text and images. It provides efficient performance for everyday tasks with minimal computational requirements, making it ideal for lightweight applications, personal projects, and educational tools where deployment efficiency is prioritized over maximum capability.

General Purpose
Multimodal

Gemma 3 12B

128,000 tokens

A mid-sized multimodal model in Google's Gemma 3 family with a 128,000-token context window, offering an excellent balance of performance and efficiency. It provides strong reasoning and multimodal capabilities for a wide range of applications, from content creation and analysis to development and research projects, with reasonable computational requirements.

General Purpose
Multimodal
Quick Stats
Models4
Languages2
Integrations3
Certifications
SOC 2
ISO 27001

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