Models

Gemini 2.5 Pro

Gemini 2.5 Pro

Google's most advanced reasoning model with 1M token context window and multimodal capabilities

Gemini 2.5 Pro

Gemini 2.5 Pro

Google's most advanced reasoning model with 1M token context window and multimodal capabilities

Last Updated on:

Last Updated on:

Input Price

$

1.25

This is a feature

Input Price

$

1.25

Input Price

$

1.25

This is a feature

Output Price

$

10

This is a feature

Output Price

$

10

Output Price

$

10

This is a feature

Input

Text | Image | Audio

Input

Text | Image | Audio

Input

Text | Image | Audio

Output

Text

Output

Text

Output

Text

Overview:

Overview:

Gemini 2.5 Pro represents Google DeepMind's most advanced reasoning model, featuring a massive 1 million token context window with plans to expand to 2 million tokens. As a thinking model capable of reasoning through complex problems before responding, it delivers enhanced performance and improved accuracy across coding, mathematics, and scientific domains. The model excels in multimodal understanding, processing text, audio, images, and video inputs seamlessly. With state-of-the-art performance on math and science benchmarks like GPQA Diamond (84.0%) and AIME 2025 (86.7%), Gemini 2.5 Pro leads in academic reasoning tasks. Its coding capabilities shine in front-end development and UI creation, ranking #1 on WebDev Arena leaderboard for building aesthetically pleasing web applications. The model supports advanced tool use, function calling, and structured outputs, making it ideal for agentic workflows and complex document analysis. With native multimodality and the largest context window in its class, Gemini 2.5 Pro enables comprehensive analysis of entire codebases, doctoral dissertations, and vast datasets in a single session, revolutionizing how AI handles large-scale information processing.

Read More

Gemini 2.5 Pro represents Google DeepMind's most advanced reasoning model, featuring a massive 1 million token context window with plans to expand to 2 million tokens. As a thinking model capable of reasoning through complex problems before responding, it delivers enhanced performance and improved accuracy across coding, mathematics, and scientific domains. The model excels in multimodal understanding, processing text, audio, images, and video inputs seamlessly. With state-of-the-art performance on math and science benchmarks like GPQA Diamond (84.0%) and AIME 2025 (86.7%), Gemini 2.5 Pro leads in academic reasoning tasks. Its coding capabilities shine in front-end development and UI creation, ranking #1 on WebDev Arena leaderboard for building aesthetically pleasing web applications. The model supports advanced tool use, function calling, and structured outputs, making it ideal for agentic workflows and complex document analysis. With native multimodality and the largest context window in its class, Gemini 2.5 Pro enables comprehensive analysis of entire codebases, doctoral dissertations, and vast datasets in a single session, revolutionizing how AI handles large-scale information processing.

Read More

Gemini 2.5 Pro represents Google DeepMind's most advanced reasoning model, featuring a massive 1 million token context window with plans to expand to 2 million tokens. As a thinking model capable of reasoning through complex problems before responding, it delivers enhanced performance and improved accuracy across coding, mathematics, and scientific domains. The model excels in multimodal understanding, processing text, audio, images, and video inputs seamlessly. With state-of-the-art performance on math and science benchmarks like GPQA Diamond (84.0%) and AIME 2025 (86.7%), Gemini 2.5 Pro leads in academic reasoning tasks. Its coding capabilities shine in front-end development and UI creation, ranking #1 on WebDev Arena leaderboard for building aesthetically pleasing web applications. The model supports advanced tool use, function calling, and structured outputs, making it ideal for agentic workflows and complex document analysis. With native multimodality and the largest context window in its class, Gemini 2.5 Pro enables comprehensive analysis of entire codebases, doctoral dissertations, and vast datasets in a single session, revolutionizing how AI handles large-scale information processing.

Read More

Context Window

1,000,000

Max output Token

32,000

Knowledge cutoff

January 2025

Reduce Token Usage

Reduce Token Usage

Reduce Token Usage

Save Upto 80%

Save Upto 80%

Save Upto 80%

Get Started

Similar Models Comparison:

Input

Output

Claude-4 Opus

$15

OpenAI o3

$2

Similar Models Comparison:

Input

Output

Claude-4 Opus

$15

OpenAI o3

$2

Similar Models Comparison:

Input

Output

Claude-4 Opus

$15

OpenAI o3

$2

Benchmarks:

Benchmarks:

SWE Benchmark

63.8%

Math benchmark

86.7% (AIME 2025)

Frequently Asked Questions:

Frequently Asked Questions:

What is Gemini 2.5 Pro cost and pricing?

What is Gemini 2.5 Pro cost and pricing?

What is Gemini 2.5 Pro cost and pricing?

How big is Gemini 2.5 Pro context window?

How big is Gemini 2.5 Pro context window?

How big is Gemini 2.5 Pro context window?

What are Gemini 2.5 Pro benchmarks and performance?

What are Gemini 2.5 Pro benchmarks and performance?

What are Gemini 2.5 Pro benchmarks and performance?

How to access Gemini 2.5 Pro API and platforms?

How to access Gemini 2.5 Pro API and platforms?

How to access Gemini 2.5 Pro API and platforms?

Gemini 2.5 Pro vs Claude-4 Opus vs OpenAI o3 comparison

Gemini 2.5 Pro vs Claude-4 Opus vs OpenAI o3 comparison

Gemini 2.5 Pro vs Claude-4 Opus vs OpenAI o3 comparison