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English(EN) Why you can't trust cloud API endpoints: 40 days of coding-agent telemetry showing the exact day providers silently overwrote deepseek-v4.1-flash with -1017 ("faster execution, shorter answers" = 3x more swearing and 6.7x more model switches)

云API提供商悄然替换DeepSeek模型，导致性能下降

作者 PulseAugur 编辑部 · [1 个来源] ·

一位用户观察到，云API提供商在10月19日左右悄然将DeepSeek-V4.1-Flash模型替换为新版本-1017。此次更新旨在改进工具调用执行和缩短答案长度，但却显著降低了模型的性能，导致用户脏话增多和模型切换频率增加。用户强调了在使用云API时无法控制模型版本是其主要缺点。 AI

影响 凸显了云API中模型静默更新的风险，可能影响用户体验和模型可靠性。

排序理由 用户报告了对云托管模型端点的更改，而非模型提供商的直接发布。

在 r/LocalLLaMA 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

云API提供商悄然替换DeepSeek模型，导致性能下降

本文如何被排名

Signal score
6 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
用户报告了对云托管模型端点的更改，而非模型提供商的直接发布。
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Jipok_ ·

    为何你无法信任云API端点：40天的编码代理遥测数据显示提供商在某天悄悄用-1017（“更快执行，更短答案”=3倍更多脏话和6.7倍更多模型切换）覆盖了deepseek-v4.1-flash

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1xiqw9i/why_you_cant_trust_cloud_api_endpoints_40_days_of/"> <img alt="Why you can't trust cloud API endpoints: 40 days of coding-agent telemetry showing the exact day providers silently overwrote deepseek-v4.…

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