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February 14, 2026The CASE Journal

DeepSeek’s innovative breakthroughs and choice between open versus closed-source

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Authors

FSFrancis Sun

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Overview

Case analysis highlights DeepSeek's innovations and decisions on open versus closed-source models in AI.

Key Points

  • The aim is to evaluate DeepSeek's innovative approaches and strategic decisions regarding open and closed-source methodologies.
  • Analysis of published sources from AI industry reports and news articles.
  • Review of DeepSeek's AI model developments and funding structure.
  • Comparison of DeepSeek V3 performance against major models like GPT-4o.
  • DeepSeek V3 demonstrated high performance with minimal training costs, outperforming Llama 3.1 and matching GPT-4o.
  • The company achieved significant advancements in algorithm and model architecture due to hardware limitations.
  • DeepSeek aims to decide on maintaining open-source practices for its upcoming products.

Cite This Study

Francis Sun (2026) studied this question.

synapsesocial.com/papers/699011712ccff479cfe5827ehttps://doi.org/10.1108/tcj-03-2025-0070
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