Activefrontiermultimodal Proprietary

Gemini 3

by Google· Cutoff April 2025

Gemini 3 is Google's most advanced multimodal AI model, designed to understand and generate text, images, audio, and video. It builds upon the capabilities of Gemini 2 with enhanced reasoning, coding, and creative abilities. As the flagship model in the Gemini lineup, it offers state-of-the-art performance across a wide range of tasks.

Official Site API Docs

Input cost

$5.00 per 1M tokens

Output cost

$15.00 per 1M tokens

Context window

1M tokens

Max output

8192 tokens

Modalities

textimageaudiovideo

License

proprietary

Capabilities

Multimodal understanding (text, image, audio, video)Code generation and executionFunction callingStreamingJSON modeLong context window (1M tokens)Reasoning and problem solvingCreative writing and content generation

Best For

Complex multimodal tasks requiring deep reasoning, long context, and high-quality output across text, code, images, audio, and video.

Strengths

Industry-leading multimodal understanding across text, image, audio, and video
Massive 1M token context window for processing large documents or long videos
Strong performance on coding, math, and reasoning benchmarks
Fast inference speed with low latency
Seamless integration with Google Cloud and Vertex AI

Limitations

Higher cost compared to smaller or specialized models
May generate plausible but incorrect information (hallucination)
Not fully open source; proprietary model with usage restrictions
Limited availability in some regions or for certain use cases
Requires significant computational resources for deployment

Use Cases

Analyzing long videos or documents for insights

Building advanced AI assistants with multimodal capabilities

Generating code from natural language descriptions

Creating educational content with text, images, and audio

Automating data extraction from complex documents

Developing creative tools for art and music generation

Powering customer support chatbots with deep understanding

Improvements Over Previous Model

Context window increased from 1M tokens (Gemini 2) to 1M tokens (same, but with better retrieval)
Improved reasoning and coding benchmarks (e.g., HumanEval score increased from 85% to 92%)
Enhanced multimodal understanding with better audio and video processing
Lower latency and faster inference compared to Gemini 2
New safety features and alignment techniques
Better support for function calling and structured outputs

Back to all models

Strengths

Industry-leading multimodal understanding across text, image, audio, and video

Massive 1M token context window for processing large documents or long videos

Strong performance on coding, math, and reasoning benchmarks

Fast inference speed with low latency

Seamless integration with Google Cloud and Vertex AI

Limitations

Higher cost compared to smaller or specialized models

May generate plausible but incorrect information (hallucination)

Not fully open source; proprietary model with usage restrictions

Limited availability in some regions or for certain use cases

Requires significant computational resources for deployment

Use Cases

Analyzing long videos or documents for insights

Building advanced AI assistants with multimodal capabilities

Generating code from natural language descriptions

Creating educational content with text, images, and audio

Automating data extraction from complex documents

Developing creative tools for art and music generation

Powering customer support chatbots with deep understanding

Improvements Over Previous Model

Context window increased from 1M tokens (Gemini 2) to 1M tokens (same, but with better retrieval)

Improved reasoning and coding benchmarks (e.g., HumanEval score increased from 85% to 92%)

Enhanced multimodal understanding with better audio and video processing

Lower latency and faster inference compared to Gemini 2

New safety features and alignment techniques

Better support for function calling and structured outputs