Google releases Gemini 2.5 Pro, which is cheaper than GPT-4o

Recently, Google officially released its latest generation large language model, Gemini 2.5 Pro, and launched a public preview through Google AI Studio. As one of Google's most powerful AI models to date, Gemini 2.5 Pro not only made another breakthrough in the intelligence level, but its extremely advantageous price strategy has also quickly become the focus of the developer community.

Create the "smarst model in history" and Google AI is fully upgraded

Although the official has not fully disclosed the detailed technical parameters of the Gemini 2.5 Pro, Google calls it "the smartest model ever" itself sending a strong signal - this model has extraordinary strength in terms of complex problem understanding, logical reasoning, and generation quality.

Many developers have previously experienced early versions of the model through Gemini Advanced and have said that their response speed, generation quality and contextual understanding have been significantly improved. Now, with the open preview open, more users can personally verify the true strength of this flagship AI.

The key to attracting developers: high cost performance + larger call amount

Google said that to meet developers' growing call demand, the rate limit of Gemini 2.5 Pro will be increased. At the same time, its highly competitive pricing strategy also shocked the industry: it costs only US$1.24 per million input tokens.

In contrast, Anthropic's Claude 3.5 Sonnet input price is $3 per million, while OpenAI's multiple models are even as high as $15-60, with a significant price gap. Google's strategy is obviously intended to significantly lower the threshold for AI development and attract more individual and corporate users.

Promote the popularization of AI, and developers become the biggest beneficiaries

Industry insiders generally believe that the release of Gemini 2.5 Pro is not only a technical update, but also an important strategic adjustment by Google in the direction of commercializing AI models. Its low-price and efficient positioning is expected to leverage more small and medium-sized developers and entrepreneurial teams to use advanced AI models to help products quickly implement them.

Google also revealed that the model will be logged into Vertex AI in the future to provide enterprises with more flexible deployment and integration methods. Through continuous iteration and community feedback, the Gemini 2.5 Pro is expected to move towards higher maturity in the next stage.