DeepSeek V3 Models — Hardware Requirements

6 DeepSeek V3 models from DeepSeek and the community, from the smallest that runs in 192.1 GB of VRAM up to 685.4B parameters. Every row links to full quantization tables and GPU compatibility.

All DeepSeek V3 Models by Size

ModelParamsContext
DeepSeek v3 0324684.5B164K
DeepSeek V3.1684.5B164K
DeepSeek v3684.5B164K
DeepSeek V3.2685.4B164K
DeepSeek V3.2 Exp685.4B164K
DeepSeek V3.2 Speciale685.4B164K

How DeepSeek V3 Compares — Benchmark Rating

DeepSeek V3.2 is the highest-rated DeepSeek V3 model with an overall benchmark rating of 59.4/100 — #16 among 75 open models. The top proprietary model, GPT 5.5, scores 88.8. Click a model to see its full benchmark breakdown.

GPT 5.5 · proprietary88.8
Claude Opus 4.7 · proprietary87.6
Claude Fable 5 · proprietary86.6
GPT 5.4 · proprietary86.6
Claude Opus 4.8 · proprietary84.4
Composite of normalized public benchmark scores (methodology) · DeepSeek V3 · other models

Frequently Asked Questions

How much VRAM do I need to run a DeepSeek V3 model?
The smallest DeepSeek V3 model, DeepSeek v3 0324, runs from 192.1 GB of VRAM at an aggressive quantization. Larger family members need proportionally more — see the table above for every model.
Which DeepSeek V3 models can I run on a 16 GB GPU?
No DeepSeek V3 model currently fits in 16 GB of VRAM — the family starts at 192.1 GB.
What is the most popular DeepSeek V3 model to run locally?
DeepSeek v3 0324 is the most downloaded DeepSeek V3 model in local-friendly quantized formats. It runs from 192.1 GB of VRAM.
How do DeepSeek V3 models score on benchmarks?
DeepSeek V3.2 leads the family with an overall benchmark rating of 59.4/100, ranking #16 among 75 open models, while the top proprietary model, GPT 5.5, scores 88.8. See the comparison chart above for the full standings.