Google Moves Gemini 2.5 Pro AI Model to Public Preview, Announces Pricing
Google has transitioned its Gemini 2.5 Pro artificial intelligence (AI) model to public preview, offering developers higher rate limits for access. The tech giant, based in Mountain View, initially released its latest flagship AI model last month as an experimental preview with restricted rate limits. Now, users of the Gemini application programming interface (API) or those accessing the model via Google AI Studio will benefit from increased rate limits. Google has also revealed the pricing for these higher limits, emphasizing that the rates remain competitive.
Gemini 2.5 Pro Pricing Details
In a blog post, Google highlighted the early adoption of Gemini 2.5 Pro by developers, prompting the company to expand access to the large language model (LLM). The foundation model is now available in public preview through the Gemini API in Google AI Studio, with higher rate limits. However, the AI model has not yet been released on Vertex AI, though Google confirmed it will be added to the platform soon.
Gemini 2.5 Pro is offered in two pricing tiers:
- Regular Rate Limit: Up to 200,000 tokens.
- Higher Rate Limit: Applies once the regular limit is exceeded.
Within the regular rate limit, the model costs $1.25 (approximately Rs. 107) per million input tokens and $10 (approximately Rs. 858) per million output tokens. Input tokens include text, images, audio, and videos, while the output price accounts for reasoning tokens.
Beyond the 200,000 token limit, developers will be charged $2.5 (approximately Rs. 214) per million input tokens and $15 (approximately Rs. 1,290) per million output tokens. Notably, the experimental version of the Gemini model remains free but with lower rate limits.
Competitive Pricing
Google claims that the pricing for Gemini 2.5 Pro is competitive, and a comparison with rival models supports this assertion. For example, Anthropic’s Claude 3.7 Sonnet model costs $3 per million input tokens and $15 per million output tokens. Meanwhile, OpenAI, Google’s major competitor in the AI space, charges even higher rates for its reasoning models. The o1 AI model costs $15 per million input tokens and $60 (approximately Rs. 5,150) per million output tokens, though it offers a discounted rate of $7.5 (approximately Rs. 640) per million for cached input tokens.
With its competitive pricing and expanded access, Google aims to solidify its position in the AI landscape, offering developers a cost-effective and powerful tool for their projects.
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