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DeepSeek's V4.1 Flash model offers efficiency gains but struggles with hallucinations

By PulseAugur Editorial · [1 sources] ·

DeepSeek has released an updated version of its V4.1 Flash open-weight AI model, now at revision 1017. This model offers significantly reduced hardware requirements, using a fraction of the storage and HBM compared to its predecessor, while maintaining a 1 million token context window. Internally, DeepSeek claims the model performs competitively with proprietary models like GPT-5.6 Sol and Claude Opus 5, particularly excelling in efficiency and cost-effectiveness for agentic tasks. However, a notable drawback is its increased propensity for hallucinations, performing less reliably than closed-source competitors in benchmarks assessing factual accuracy. AI

IMPACT Offers a more efficient and cost-effective option for agentic workloads, though users must be mindful of its increased hallucination rate compared to proprietary models.

RANK_REASON Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on Tom's Hardware →

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

DeepSeek's V4.1 Flash model offers efficiency gains but struggles with hallucinations

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26 / 100
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Significant
Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
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model release, product
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High
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COVERAGE [1]

  1. Tom's Hardware TIER_1 English(EN) · Bruno Ferreira ·

    Deepseek's latest AI model is smarter than ever, but its low running costs come at a price

    Deepseek 4.1 Flash 1017 drives cost-per-task further down still — open-weight model is fit for agentic workloads and exceedingly cheap to run

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