DeepSeek V4 drops 1.6T open weights, 1M context

// 45d agoMODEL RELEASE

DeepSeek V4 drops 1.6T open weights, 1M context

DeepSeek releases a 1.6 trillion parameter Mixture-of-Experts model featuring a 1 million token context window and MIT-licensed open weights. Optimized for Huawei Ascend NPUs, it targets SOTA agentic coding and complex reasoning benchmarks at a fraction of competitors' costs.

// ANALYSIS

DeepSeek V4 is a watershed moment for open AI, delivering frontier-level reasoning and massive context efficiency without Nvidia silicon.

–Hybrid Attention architecture reduces KV cache by 90% to enable efficient 1M token processing.
–The 1.6T Pro model rivals closed-source giants like GPT-5 in agentic coding and STEM reasoning.
–Native optimization for Huawei Ascend 950PR proves high-performance LLM training is possible outside the CUDA ecosystem.
–Aggressive API pricing ($1.74/1M input tokens) undercuts the market by orders of magnitude for its performance class.
–Engram Memory architecture enables repository-level code analysis, making it a primary choice for autonomous dev tools.

// TAGS

deepseek-v4llmopen-weightsai-codingagentinferencereasoning

DISCOVERED

45d ago

2026-04-24

PUBLISHED

45d ago

2026-04-24

RELEVANCE

10/ 10

AUTHOR

Prompt Engineering

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DeepSeek V4 drops 1.6T open weights, 1M context