This article details the quota consumption of the Gemini 2.5 Flash and Gemini 3 Pro (Low) models through continuous testing of the Google Gemini API. The tests showed that both models hit their quota limits simultaneously after the 17th conversation, with identical reset times. Based on this, the author speculates that the High and Low versions of Gemini 3 Pro may have no practical difference, with all requests potentially being routed to the same Low-tier service. The article also analyzes the patterns of quota consumption, pointing out that the officially advertised ‘relaxed rate limiting’ actually has usage restrictions within time windows, and the retry mechanism is confusing when frequent errors occur. This analysis provides valuable insights for developers and researchers to understand Google Gemini model quota limits and usage strategies, and also serves as a case study for evaluating the transparency of AI model service providers.
Original Link:Linux.do
最新评论
I don't think the title of your article matches the content lol. Just kidding, mainly because I had some doubts after reading the article.
这个AI状态研究很深入，数据量也很大，很有参考价值。
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文章内容很有深度，AI模型的发展趋势值得关注。
内容丰富，对未来趋势分析得挺到位的。
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光纤技术真厉害，文章解析得挺透彻的。
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