Gemini 2.5 Pro: Google's Most Expensive AI Model

Google Announces Gemini 2.5 Pro API Pricing

Google officially unveiled the pricing structure for its Gemini 2.5 Pro API on Friday. This AI model demonstrates leading performance in areas like coding, reasoning, and mathematical problem-solving, as evidenced by industry benchmarks.

Pricing Details for Prompts

For prompts containing up to 200,000 tokens – equivalent to approximately 750,000 words, exceeding the length of “The Lord of the Rings” – the cost is set at $1.25 per million input tokens. Output tokens are priced at $10 per million.

Prompts exceeding 200,000 tokens, a capability not widely supported by competitors, incur a cost of $2.50 per million input tokens and $15 per million output tokens.

Comparison with Other AI Models

The pricing positions Gemini 2.5 Pro as a more expensive option compared to other models within Google’s portfolio, including Gemini 2.0 Flash ($0.10/million input tokens, $0.40/million output tokens).

It also surpasses the cost of several other advanced AI models, such as OpenAI’s o3-mini ($1.10/million input tokens, $4.40/million output tokens) and DeepSeek’s R1 ($0.55/million input tokens, $2.19/million output tokens).

Competitive Context

However, Gemini 2.5 Pro remains competitively priced when compared to models like Anthropic’s Claude 3.7 Sonnet ($3/million input tokens, $15/million output tokens) and OpenAI’s GPT-4.5 ($75/million input tokens, $150/million output tokens).

Initial reactions from the tech community have been generally favorable, with many developers acknowledging the rates as reasonable.

Industry Trend: Rising Prices

A broader trend of increasing pricing for flagship AI models is becoming apparent. Recent releases from leading AI labs, including Google, OpenAI, and Anthropic, have shown an upward trajectory in cost.

For instance, OpenAI’s recently launched o1-pro is currently the company’s most expensive API offering, priced at $150/million input tokens and $600/million output tokens.

Factors Influencing Pricing

Increased demand and the associated computational expenses are likely contributing to this pricing trend. Google CEO Sundar Pichai has stated that Gemini 2.5 Pro is the most sought-after AI model among developers.

This high demand has resulted in an 80% increase in usage on Google’s AI Studio platform and the Gemini API this month alone.