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DeepSeek V4-Pro API Ignores Token Limits, Inflates Costs

By PulseAugur Editorial · [1 sources] ·

An independent developer testing DeepSeek's V4-Pro model discovered that the API ignored specified token limits, leading to excessive token consumption and increased costs. The model's default reasoning mode generated thousands of tokens for internal thought processes, resulting in empty visible answers and inflated bills. While parameters like `max_completion_tokens` and even custom ones were accepted by the API without error, they did not appear to enforce any actual limits. The developer found that explicitly disabling reasoning was necessary to achieve predictable costs and performance for their application, Kai. AI

IMPACT Highlights potential issues with API parameter enforcement and cost management for developers integrating LLMs.

RANK_REASON Developer testing of an existing model's API parameters and behavior.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

DeepSeek V4-Pro API Ignores Token Limits, Inflates Costs

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0 / 100
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Developer testing of an existing model's API parameters and behavior.
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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.
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product, infra
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High
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24 days old
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COVERAGE [1]

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

    I Gave DeepSeek a Token Limit. It Ignored Me.

    <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…

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