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DeepSeek-R1

DeepSeek · Text generation · MoE 671B-A37B · 131k context · Released 22 January 2025

Commercial use permitted Open weights Apple Silicon

DeepSeek-R1 is one of the most capable open-weight models released, and its MIT licence makes it unusually permissive for a model at this level. Running it is the hard part: at 671B parameters it needs a multi-GPU server or a very high-memory machine. Community dynamic low-bit quantisations bring it within reach of high-end workstations and large Apple Silicon machines, at some cost to quality. For most people, the R1 distills are the practical way to get its reasoning locally.

Strengths

  • Frontier-level reasoning on maths, code, and complex problems
  • Fully open under the permissive MIT licence, commercial use included
  • Mixture-of-experts design keeps active parameters, and so speed, manageable

Weaknesses

  • Enormous, needing a multi-GPU server or very high-memory machine for good quality
  • Reasoning traces are long, slow, and verbose
  • Out of reach for typical consumer hardware except via aggressive quantisation

Hardware requirements

QuantisationApprox. VRAMNotes
Dynamic 1.5-2 bit (community)~140GBCommunity dynamic quant; high-end workstation or 192GB Mac, with quality trade-offs
Q4_K_M~380GBServer or multi-GPU territory
FP8~671GBNative precision, large multi-GPU server

Optimised builds available for Apple Silicon.

Licence

MIT read the licence

Benchmarks

BenchmarkScoreSourceAs of
MMLU90.8 DeepSeek model card January 2025
AIME 202479.8% DeepSeek model card January 2025
MATH-50097.3% DeepSeek model card January 2025
LiveCodeBench65.9% DeepSeek model card January 2025

Availability

Recommended for

  • Organisations with server-class hardware wanting an open reasoning model
  • Enthusiasts with very high-memory machines and dynamic quantisations
  • A permissively licensed frontier reasoning model to self-host

Run it with

Related guides

Glossary

Our coverage

Catalogue entry last verified 30 July 2026. Specifications change; verify anything you are about to spend money on.