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DeepSeek-V4 Series Unveiled

·2026.04.24 13:00

Key point

A DeepSeek-V4 preview has been released, supporting a 1.6T MoE and 1M context.

Details

DeepSeek has released a preview version of DeepSeek-V4 on Hugging Face.

The series consists of two models.

  • DeepSeek-V4-Pro: 1.6T parameters, 49B activated, 1M token context
  • DeepSeek-V4-Flash: 284B parameters, 13B activated, 1M token context

The core features are Hybrid Attention and mHC. The company stated that at the 1M token range, single-token inference FLOPs were reduced to 27% compared to DeepSeek-V3.2, and KV cache was compressed to around 10%.

It also explained that the Muon Optimizer was applied to improve training stability and convergence speed, and the instruct model supports three reasoning modes: Non-think / Think / Think Max. Code, math, and long-context benchmark results were also released together.

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