DeepSeek V4 packs 1.6T parameters, 1M context

// 45d agoMODEL RELEASE

DeepSeek V4 packs 1.6T parameters, 1M context

DeepSeek-V4-Pro and Flash models arrive with a massive 1M token context window and frontier-class performance in math and coding. The release continues DeepSeek's trend of hyper-efficient, open-weight models that challenge the dominance of closed-source giants.

// ANALYSIS

DeepSeek V4 is a "price-performance" hammer aimed directly at GPT-5 and Gemini 3.1, proving that architectural efficiency can rival raw compute scale.

–1M token context window uses "Compressed Sparse Attention" to keep KV cache memory requirements 90% lower than standard transformers
–V4-Pro matches GPT-5.4 in coding benchmarks while being significantly cheaper to run via API or self-hosting
–Optimization for Huawei Ascend 950 silicon signals a maturing domestic Chinese hardware ecosystem independent of NVIDIA export bans
–MIT-licensed weights for the 284B Flash model set a new high bar for local long-document processing and RAG applications
–"Friday afternoon surprise" release strategy continues to disrupt Western AI news cycles with open-weight alternatives

// TAGS

deepseek-v4llmopen-weightsopen-sourcereasoningai-coding

DISCOVERED

45d ago

2026-04-24

PUBLISHED

45d ago

2026-04-24

RELEVANCE

10/ 10

AUTHOR

markeus101

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