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DeepSeek V4 Pro (1.6T MoE)

DeepSeek frontier MoE with 1M-token context, hybrid compressed attention and top-tier coding/reasoning. MIT licensed. Datacenter-grade only.

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Parameters
1.6T (49B active)
Minimum RAM
1024 GB
Model size
850 GB
Quantization
FP4/FP8

Can DeepSeek V4 Pro (1.6T MoE) run locally?

DeepSeek V4 Pro (1.6T MoE) is best suited for server-grade or multi-GPU systems. LocalClaw recommends FP4/FP8 as the default quantization, with at least 1024 GB RAM.

Search term for LM Studio or compatible runtimes: deepseek-v4-pro

Hugging Face repository: deepseek-ai/DeepSeek-V4-Pro

chatcodereasoningqualityagenticlong-contextgeneral

Strengths

  • DeepSeek frontier MoE with 1M-token context, hybrid compressed attention and top-tier coding/reasoning. MIT licensed. Datacenter-grade only.

Limitations

  • Performance depends heavily on quantization, RAM bandwidth and runtime support.

Best use cases

  • chat
  • code
  • reasoning
  • quality
  • agentic
  • long-context
  • general

Benchmarks

Speed: 2/10

Quality: 10/10

Coding: 10/10

Reasoning: 10/10

Technical details

Developer: deepseek

License: See model repository

Context window: Unknown tokens

Architecture: See model card

Released: 2026-05