Google Releases Gemini 2.5 Pro Pricing Details

On Friday, Google officially released pricing details for Gemini 2.5 Pro, its latest advanced AI reasoning model, which has been lauded for outperforming benchmarks in coding, logic, and mathematics.

Gemini 2.5 Pro Preview gives you higher rate limits for testing your apps at scale. Build smarter, faster, and more efficiently. → https://t.co/XL1DCU8JFU pic.twitter.com/fKbH8Ny8Jn

— Google for Developers (@googledevs) April 4, 2025

Pricing Structure: High-End Rates for High-End Performance

Google has introduced tiered pricing based on the size of prompts:

For prompts up to 200,000 tokens:

Input tokens: $1.25 per million

Output tokens: $10 per million

For prompts exceeding 200,000 tokens (a capability many competitors don’t offer):

Input tokens: $2.50 per million

Output tokens: $15 per million

To put it in perspective, 200,000 tokens roughly equates to 750,000 words—longer than the entire Lord of the Rings trilogy.

More Expensive Than Other Google Models

Gemini 2.5 Pro is currently the most expensive model in Google’s AI lineup:

Gemini 2.0 Flash:

$0.10 per million input tokens

$0.40 per million output tokens

Read Also: Google Introduces Gemini 2.5 AI Reasoning Models

How It Compares with Competing AI Models

Compared to other leading AI models, Gemini 2.5 Pro sits on the higher end of the price spectrum:

More expensive than:

OpenAI’s o3-mini:

• $1.10 per million input tokens
• $4.40 per million output tokens

DeepSeek’s R1:

• $0.55 per million input tokens
• $2.19 per million output tokens

More affordable than:

Anthropic’s Claude 3.7 Sonnet:

• $3 per million input tokens
• $15 per million output tokens

OpenAI’s GPT-4.5:

• $75 per million input tokens
• $150 per million output tokens

Gemini 2.5 Pro is also available for free under limited usage via rate-limited access.

Rising Prices Across the AI Industry

The launch of Gemini 2.5 Pro comes amid a broader trend of increasing prices for flagship AI models.

Recent premium releases have also seen steep pricing, including:

OpenAI’s o1-pro:

• $150 per million input tokens
• $600 per million output tokens

Analysts suggest the rise in costs may be driven by escalating demand and the heavy compute resources needed to run these state-of-the-art systems.

Strong Developer Interest

Despite the premium pricing, early response from the tech community has been largely positive.

Developers have praised the pricing as “sensible” given the model’s capabilities.

Google CEO Sundar Pichai highlighted the model’s popularity, revealing that Gemini 2.5 Pro has become the company’s most in-demand AI offering.

This surge has led to an 80% increase in usage across Google’s AI Studio and Gemini API platforms in the past month.