Gemini 2.5 Pro now available with no limits and at a lower price than Claude GPT-4o

Google’s Gemini 2.5 Pro has quietly taken the developer world by a storm. The company calls it its most intelligent model yet.

Google announced that after seeing a strong developer interest in Gemini 2.5 Pro, it would increase the rate limits and offer the model for a lower price than most of its competitors. The company did release pricing at launch.

Google stated in a statement that it had been listening to the feedback of users and developers. blog post today. “To make this powerful, model available to more developers we’re moving Gemini 2.5 Pro to public preview in the Gemini API within Google AI Studio today. Vertex AI will be rolling out soon.”

Google said developers using Gemini 2.5 Pro on public preview, priced at $1.24 per one million tokens, will see increased rate limits. The experimental version of the model will remain free but have lower rate limits.

Gemini 2.5 Pro’s pricing

is competitive and significantly lower compared to competitors like Anthropic Openai

Gemini 2.5 Pro costs $1.25 for every million input tokens, and $10 for every million output tokens. Social media users Google’s pricing of such a powerful model at such a low price surprised them. Noting it’s “about the get wild.”

Anthropic Claude 3.7 Sonnet is a model similar to Gemini 2.5 Pro. It costs $3 per million input tokens, and $15 for output tokens. Anthropic claims that Claude 3.7 Sonnet can save users up to 90% if they use prompt cache.

OpenAi’s O1″”https://openai.com/api/pricing/” ” rel=””noreferrer noopener”” target=””_blank” “> The reasoning model costs 15 dollars per million input rockets, and 60 dollars per million output tokens. Cached inputs, however, cost $7.50. Its other reasoning models, o3 mini, are cheaper at $1.10 for a million input tokens and $5.40 for a million output tokens. However, o3 mini is a smaller model. OpenAI’s GPT-4o pricing for non-reasoning model is $2.50 per input and $10 per output.

Gemini 2. Pro demand

Google quietly released Gemini 2. Pro, adding the experimental model to Gemini Advanced. Since its launch, several developers and users found it compelling.

VentureBeat Ben Dickson tested Gemini 2.5 Pro, and declared that it could be the “most helpful reasoning model yet.” DeepSeek’s DeepSeek R1 was priced so low that it caused a stir among enterprises. DeepSeek continues releasing models at a cheaper price than many of the more prominent models developers, putting more pressure on Google OpenAI and Anthropic, to offer robust, highly capable models at affordable rates.