DeepSeek V4 Model Introduction

6 Core Upgrade Points

  1. 1M-Token Long Context Window
  • Upgraded directly from 128k to 1,000k tokens, an 8x increase!
  • Handles ultra-long codebases, full books, and multi-turn complex reasoning with ease.
  • 8x Improvement
  1. Reasoning Capability: Top-Tier Open-Source Model
  • Excellent performance in mathematics, STEM, and competitive programming tasks.- high-end versions of Gemini and Claude; it is no longer just for “chatting” but can handle technical work.
  • Performance is close to top-tier models like Gemini and Claude.
  • Approaching Gemini & Claude Top-Tier Model Performance
  1. Enhanced Agent Capabilities (Auto-Coding)
  • Evolved into a true “AI Engineer”.
  • Automatically decomposes tasks, writes code, debugs, and executes in a closed loop.
  • No longer just a simple chatbot.
  • Automated Closed Loop · True AI Engineer
  • Flow: Understand Task → Decompose Plan → Write Code → Debug & Run → Verify & Optimize → Complete Task
  1. New Architecture: Introducing DSA (Dense-Sparse Attention)
  • DeepSeek’s sparse attention mechanism significantly reduces computing power and memory usage.
  • In short: Stronger performance, lower cost, higher efficiency.
  • Icons: Stronger Performance / Lower Cost / Higher Efficiency
  • Comparison: Traditional Dense Attention vs. DSA Sparse Attention
  1. Dual-Version Strategy: Pro + Flash
  • V4-Pro: Top-tier performance with trillion-level parameters, handles the most complex tasks (comparable to Claude Opus).
  • V4-Flash: Fast, affordable, and responsive, suitable for large-scale applications (comparable to GPT-4o mini).
  • Icons: Flexible Selection / Flexible Deployment / Multi-Scenario Coverage
  1. Domestic Computing Adaptation (Decoupled from CUDA)
  • Deeply adapted for Huawei Ascend chips, no longer dependent on NVIDIA CUDA systems.
  • A major breakthrough in the domestic AI ecosystem.
  • Icons: Independent Control / Ecosystem Breakthrough / Efficient Adaptation