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NewsTopic · AI中转站换模型争议2 min read·2026-10-19

V2EX User Reports AI Coding Proxy Failure Suspected of Model Swapping, Recommends Official APIs

V2EX user selfly shared a failed attempt to develop a web-based Git tool using opencode with a proxy service for gpt-6.1-sol. Despite spending 3 hours and 7 yuan, no core features were successfully implemented. He subsequently achieved success in half an hour by directly using deepseek-41-flash. Based on this disparity, the author suspects the proxy swapped models and decided to prioritize official APIs.

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2026-10-19 14:26 GMT+8

V2EX user selfly recently shared a frustrating experience with AI-assisted programming, highlighting the hidden risks associated with third-party model proxies. Due to the inconvenience of traditional git operations when frequently modifying files on remote machines, he planned to develop a web-based Git tool. After discussing requirements and forming a Markdown document on the web version of Doubao, he handed the task to opencode.

The first attempt used the combination of "opencode + proxy gpt-6.1-sol". After 3 hours of runtime and a cost of 7 RMB, the output interface was at a beginner level, and none of the core requirements such as fetch, pull, push, and functional areas were successfully implemented, described by the author as "pure waste". Given that gpt-6.1-sol should not perform so poorly, and lacking a ready GPT plan for direct comparison, he switched to testing deepseek-41-flash.

The result formed a stark contrast: similarly throwing the Markdown requirement file to the AI, the output was completed in about half an hour, with basic functions all usable and successfully implemented, exceeding the author's expectations. This huge gap in experience led selfly to infer that the problem likely lay with the proxy—so-called "deep water", implying that the proxy might have secretly replaced it with a cheaper or less capable model (such as the comment section speculation of 6luna acting as sol).

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To avoid disputes, the author did not disclose the name of the proxy but noted its considerable popularity. This experience prompted his decision: to prioritize official APIs in the future. Although this case is a personal anecdote (n=1), it provides a specific warning for developers relying on AI agents for complex code generation: when output quality falls far below model baseline expectations, one must be wary of tampering or downgrading by the middle layer. Directly verifying model identity or returning to official channels is a viable path to avoid such engineering risks.

Sources

  • 原始出处v2ex.com↗
Topic

AI中转站换模型争议

AI编码中转站疑似替换底层模型致项目失败引发开发者信任危机。V2EX用户selfly实测发现,使用某知名中转站调用gpt-6.1-sol开发Web版Git工具耗时3小时且核心功能全部失败;改用deepseek-41-flash后半小时即成功…

6 steps0 piecesUpdated 2026-10-19 18:47

How it got here

  1. 2026-05-09Oxford China Policy Lab研究员Zilan Qian发布调查报告,指出中国灰色市场通过盗用凭证和模型替换低价转售Claude API,并收集用户数据用于训练。
  2. 2026-05-12《每日经济新闻》起底AI中转站乱象,揭露孙宇晨、傅盛等资本入局背后存在封号跑路、动态路由降智及恶意代码注入风险。
  3. 2026-05-22Thousand Miles AI引用CISPA Helmholtz Center研究,证实17家第三方LLM API存在最高47分的性能差距,提出三种模型替换模式。

What is still unsettled

  • 现有开源指纹检测工具(如ModelTrace)在系统提示词干扰下的准确率是否足以作为维权依据?
  • 中转站声称的“不降智”高倍率服务(如aisale.best)能否通过独立第三方持续审计验证?
  • 针对中转站窃取代码与提示词的行为,目前是否存在有效的跨境法律追责先例?
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