PulseAugur
中
实时 18:18:57
English(EN) I Gave DeepSeek a Token Limit. It Ignored Me.

DeepSeek V4-Pro API无视Token限制,导致成本膨胀

一位独立开发者在测试DeepSeek的V4-Pro模型时发现,该API无视指定的Token限制,导致Token消耗过多并增加了成本。该模型默认的推理模式为内部思考过程生成了数千个Token,导致可见答案为空白,账单也随之膨胀。尽管API接受了诸如`max_completion_tokens`甚至自定义参数,但似乎并未强制执行任何实际限制。开发者发现,明确禁用推理是实现其应用程序Kai可预测成本和性能的必要条件。 AI

影响 凸显了开发人员在集成LLM时,API参数执行和成本管理方面可能存在的问题。

排序理由 开发者对现有模型API参数和行为的测试。

在 dev.to — LLM tag 阅读 →

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

DeepSeek V4-Pro API无视Token限制,导致成本膨胀

本文如何被排名

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
开发者对现有模型API参数和行为的测试。
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
product, infra
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
55 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

  1. dev.to — LLM tag TIER_1 English(EN) · haoxiang li ·

    我给DeepSeek设置了令牌限制,但它无视了我。

    <h3> A hands-on test of V4-Pro's default reasoning mode </h3> <blockquote> <p>⚠️ <strong>This article was generated with AI assistance</strong> (Claude). Every number comes from real calls the author made to DeepSeek's official API on the day of testing, and sample sizes are incl…