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deepseek
1600B parameters
Commercial OK

DeepSeek V4 Pro

Reasoning-tuned variant of DeepSeek V4. Same MoE shape; reasoning-emission optimized. The current open-weight benchmark leader on math + reasoning.

License: MIT·Released Apr 24, 2026·Context: 1,048,576 tokens

Overview

Reasoning-tuned variant of DeepSeek V4. Same MoE shape; reasoning-emission optimized. The current open-weight benchmark leader on math + reasoning.

Family & lineage

How this model relates to others in its lineage. Family members share architecture and training-data roots; parent / children edges record direct distillation or fine-tune relationships.

Parent / base model
DeepSeek V4745B
Frontier
Family siblings (deepseek-v)
DeepSeek V3 Lite (16B MoE)16B
Consumer
DeepSeek V4 Flash284B
Datacenter
DeepSeek V3 (671B MoE)671B
Frontier
DeepSeek V4745B
Frontier
DeepSeek V4 Pro1600B
You are here
Distilled / fine-tuned from this
DeepSeek V4 Flash (284B MoE)284B
Datacenter

Strengths

  • Strongest open coder of 2026 — closes in on Claude Opus 4.6
  • 1M token context window with CSA+HCA attention
  • 27% per-token FLOPs vs V3.2; 10% KV cache
  • MIT license — fully open weights

Weaknesses

  • 1.6T total params — workstation cluster or cloud GPU only
  • Q4_K_M still ~920 GB on disk
  • Local deployment is research-tier only

Quantization variants

Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.

QuantizationFile sizeVRAM required
Q4_K_M920.0 GB1024 GB

Get the model

HuggingFace

Original weights

huggingface.co/deepseek-ai/DeepSeek-V4-Pro

Source repository — direct quantization required.

Hardware that runs this

Cards with enough VRAM for at least one quantization of DeepSeek V4 Pro.

NVIDIA GB200 NVL72
13824GB · nvidia
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Models worth comparing

Same parameter band, plus what's one tier above and below — so you can decide what actually fits your hardware.

Step up
More capable — bigger memory footprint
No verdicted models in the next tier up yet.

Frequently asked

What's the minimum VRAM to run DeepSeek V4 Pro?

1024GB of VRAM is enough to run DeepSeek V4 Pro at the Q4_K_M quantization (file size 920.0 GB). Higher-quality quantizations need more.

Can I use DeepSeek V4 Pro commercially?

Yes — DeepSeek V4 Pro ships under the MIT, which permits commercial use. Always read the license text before deployment.

What's the context length of DeepSeek V4 Pro?

DeepSeek V4 Pro supports a context window of 1,048,576 tokens (about 1049K).

Source: huggingface.co/deepseek-ai/DeepSeek-V4-Pro

Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.