Recently, Google announced that the API of its flagship AI model Gemini 2.5 Pro has been re-added to the free tier of Google AI Studio, a move that has sparked widespread attention and heated discussions within the developer community. According to AIbase, this initiative marks another significant step in Google's efforts to popularize AI technology, offering developers more accessible opportunities for innovation.
Gemini 2.5 Pro is Google's most advanced AI model to date, renowned for its exceptional multimodal capabilities and strong reasoning performance. The model supports a context window of up to 1 million tokens and can process various input types, including text, images, audio, and video. It performs particularly well in tasks such as coding, complex reasoning, and data analysis. Previously, in May, Google had adjusted the policies of Google AI Studio, restricting free users from accessing the Gemini 2.5 Pro series models, which raised concerns among some developers about the cost of accessing high-performance models. Now, the return of the free API tier is undoubtedly a positive response to developers' needs.
According to AIbase, a representative from Google's AI API platform stated: "We are committed to providing free API packages to millions of developers. Gemini 2.5 Pro is now back in the free tier and can be used for free in the Gemini app. To meet high demand, we have doubled the free computing resources and are exploring potential paths to continue opening up the free version in the future, such as setting lifetime call limits or launching incentive programs." This statement highlights Google's efforts to balance the commercialization of the model with user experience.
Developer communities have reacted positively to this news. AIbase noted that the return of Gemini 2.5 Pro to the free tier provides developers with opportunities to conduct high-performance testing and prototype development on Google AI Studio and Vertex AI, especially in scenarios requiring handling large codebases or multimodal tasks. Its leading performance on the WebDev Arena and LMArena rankings further solidifies its position in the AI development field. Compared to other competitive models, such as OpenAI's o3-mini and DeepSeek's R1, Gemini 2.5 Pro demonstrates unique advantages in multimodal processing and reasoning capabilities, although its API pricing is slightly higher than some competitors when dealing with large input volumes.
However, AIbase also mentioned that the free-tier Gemini 2.5 Pro still has limitations in terms of lower call rates. Developers who need higher performance and greater data processing capabilities may still consider paying tiers. According to Google's previous pricing announcement, the input price for the Gemini 2.5 Pro API is $1.25 per million tokens (approximately 9.1 RMB), and the output price is $10 per million tokens (approximately 72.9 RMB). After exceeding 200,000 tokens, the prices increase to $2.5 and $15 respectively. Despite this, the return of the free tier provides valuable opportunities for budget-constrained developers to explore cutting-edge AI technologies.