DeepSeek · 671B · MoE
Can you run DeepSeek-R1 671B locally?
DeepSeek-R1 671B is a mixture-of-experts model with 671B parameters, 37B active per token. At 4-bit it fits none of the 120 consumer and workstation configurations listed here. It does not fit one 128 GB DGX Spark.
Data as of 2 November 2026
Fastest machines for DeepSeek-R1 671B
Every machine that runs it, fastest first. Filter by type; your machine is marked. Compare machines running it side by side
Too big for 120 machines
M5 Ultra · 512 GB · 80c, M3 Ultra · 512 GB · 80c, M5 Ultra · 256 GB · 80c, M5 Ultra · 256 GB · 64c, M3 Ultra · 256 GB · 80c, M3 Ultra · 256 GB · 60c, 2x RTX PRO 6000 Blackwell, M2 Ultra · 192 GB · 76c, M2 Ultra · 192 GB · 60c, DGX Spark (GB10), Ryzen AI Max+ 395 · 128 GB, M2 Ultra · 128 GB · 76c, M2 Ultra · 128 GB · 60c, M1 Ultra · 128 GB · 64c, M1 Ultra · 128 GB · 48c, M5 Max · 128 GB · 40c, M4 Max · 128 GB · 40c, M3 Max · 128 GB · 40c, RTX PRO 6000 Blackwell, M5 Ultra · 96 GB · 80c, M5 Ultra · 96 GB · 64c, M3 Ultra · 96 GB · 80c, M3 Ultra · 96 GB · 60c, M2 Ultra · 96 GB, M3 Max · 96 GB · 30c, M2 Max · 96 GB · 38c, 2x RTX 5090, Ryzen AI Max+ 395 · 64 GB, M2 Ultra · 64 GB · 76c, M2 Ultra · 64 GB · 60c, M1 Ultra · 64 GB · 64c, M1 Ultra · 64 GB · 48c, M5 Max · 64 GB · 40c, M4 Max · 64 GB · 40c, M3 Max · 64 GB · 40c, M2 Max · 64 GB · 38c, M2 Max · 64 GB · 30c, M1 Max · 64 GB · 32c, M1 Max · 64 GB · 24c, M5 Pro · 64 GB · 20c, M5 Pro · 64 GB · 16c, M4 Pro · 64 GB · 20c, M4 Pro · 64 GB · 16c, 2x RTX 4090, 2x RTX 3090 Ti, 2x RTX 3090, 2x RX 7900 XTX, M5 Max · 48 GB · 40c, M4 Max · 48 GB · 40c, M3 Max · 48 GB · 40c, M5 Pro · 48 GB · 20c, M5 Pro · 48 GB · 16c, M4 Pro · 48 GB · 20c, M4 Pro · 48 GB · 16c, RTX 5090, M5 Max · 36 GB · 32c, M4 Max · 36 GB · 32c, M3 Max · 36 GB · 30c, M3 Pro · 36 GB, RTX 4090, RTX 3090 Ti, RTX 3090, RX 7900 XTX, M2 Max · 32 GB · 38c, M2 Max · 32 GB · 30c, M1 Max · 32 GB · 32c, M1 Max · 32 GB · 24c, M2 Pro · 32 GB, M1 Pro · 32 GB, M6 · 32 GB · 12c, M5 · 32 GB · 10c, M5 · 32 GB · 8c, M4 · 32 GB, RX 7900 XT, M5 Pro · 24 GB · 20c, M5 Pro · 24 GB · 16c, M4 Pro · 24 GB · 20c, M4 Pro · 24 GB · 16c, M6 · 24 GB · 12c, M6 · 24 GB · 10c, M5 · 24 GB · 10c, M5 · 24 GB · 8c, M4 · 24 GB, M3 · 24 GB, M2 · 24 GB, RTX 5080, RTX 5070 Ti, RTX 5060 Ti, RTX 4080 SUPER, RTX 4080, RTX 4070 Ti SUPER, RTX 4060 Ti, Tesla T4, Tesla P100, RX 9070 XT, RX 9060 XT, M3 Pro · 18 GB, RTX 5070, RTX 4070 Ti, RTX 4070 SUPER, RTX 4070, RTX 3060, M2 Pro · 16 GB, M1 Pro · 16 GB, M6 · 16 GB · 12c, M6 · 16 GB · 10c, M5 · 16 GB · 10c, M5 · 16 GB · 8c, M4 · 16 GB, M3 · 16 GB, M2 · 16 GB, M1 · 16 GB, RTX 5060, RTX 4060, RTX 3070, RTX 3060 Ti, RTX 2070, M3 · 8 GB, M2 · 8 GB, M1 · 8 GB. DeepSeek-R1 671B needs about 390 GB at its smallest build.
Speeds are single-user decode estimates, not measurements. "ModelFit est." comes from ModelFit's model fitted on published runs (CC BY 4.0); "our est." is memory bandwidth divided by bytes read per token, times 0.55. Memory is what the best build needs, against what the machine can give a model. Method
About the model
- Parameters
- 671B
- Active per token
- 37B
- Type
- Mixture of experts
- Good for
- Reasoning, Coding
Builds and how to run them
| Quantization | Load | Min. RAM | Command |
|---|---|---|---|
| Q4_K_M | 380 GB | 512 GB | ollama run deepseek-r1:671b-q4_K_M |
Load, minimum RAM and Ollama commands: ModelFit, CC BY 4.0. Load is memory with the model loaded, before long contexts.
Questions
Can I run DeepSeek-R1 671B on a Mac?
Not on any Mac configuration listed here at 4-bit or better.
How much memory does DeepSeek-R1 671B need?
About 390 GB at the smallest build in our data, including a margin for the runtime and an 8K-token context. Longer contexts need more.
Does DeepSeek-R1 671B run on a DGX Spark?
Not on one 128 GB Spark. It needs about 390 GB.