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DeepSeek V4 Flash API shows reduced hallucinations, introduces empty reply issue

A recent test of the DeepSeek V4 Flash model's stable API revealed significant improvements in hallucination rates compared to its April preview. The model now actively refuses to fabricate answers, instead citing its knowledge cutoff or stating it cannot provide information. However, a new issue emerged in thinking mode where the model expends its entire output budget on internal reasoning for complex questions, resulting in empty replies and posing a challenge for agentic workflows. AI

IMPACT The reduction in hallucinations is positive for general use, but the empty reply issue in thinking mode could hinder agent development.

RANK_REASON The item details a specific test and findings about a released model's performance, including a new problem. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

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

DeepSeek V4 Flash API shows reduced hallucinations, introduces empty reply issue

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The item details a specific test and findings about a released model's performance, including a new problem. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

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

    I Tested DeepSeek V4 Flash's Hallucination Rate on the Release-Day API — 94% 0%

    <h1> I Tested DeepSeek V4 Flash's Hallucination Rate on the Release-Day API </h1> <p><strong>TL;DR:</strong> The 94-96% hallucination rate that circulated after DeepSeek V4's April preview is <strong>not representative of the stable release</strong>. On the release-day API (deeps…