While developing an Agent system, the author faced budget constraints and needed to handle extensive code reading and writing. The article provides an in-depth comparison of several mainstream AI models: Deepseek v3.2, with only 160K context but low cost; Gemini 3 Flash, featuring ultra-long context and affordable pricing, though its capabilities remain to be tested; Grok Code Fast1, offering 256K context but questionable performance as an older model; and GPT-5.1-Codex-mini, cost-effective with unknown capabilities. The author shares practical usage experience, emphasizing the critical trade-offs between context length, price, and performance, offering valuable insights for AI developers to optimize system design under resource constraints.
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。
我偶尔阅读 这个旅游网站。激励人心查看路线。
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。
Thank you for your sharing. I am worried that I lack creative ideas. It is your article that makes me full of hope. Thank you. But, I have a question, can you help me?
光纤技术真厉害，文章解析得挺透彻的。
文章内容很实用，想了解更多相关技巧。