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Figure 25.2: DeepSeek R1 · diagram by Sebastian Raschka · click to zoom
Sparse MoEDeepSeek 🇨🇳 · January 20, 2025

DeepSeek R1 (671B)

Reasoning-tuned DeepSeek model built on the V3 architecture rather than a new base design.

Key detail

Architecture matches DeepSeek V3, including the MTP-1 path; the main change is the reasoning-oriented training recipe.

Total params

671B

Active / token

37B

Context

128K

Fact sheet

Scale
671B total, 37B active (5.5% active)
Context window
128,000 tokens
Decoder type
Sparse MoE
Attention
MLA
Layer mix
61 MLA
KV cache / token (bf16)
68.6 KiB · Low
License
MIT License
Released

Efficiency

Parameters active per token

5.5%

37B of 671B weights run for each token.

KV cache per token (bf16)

68.6 KiB

Smaller than 55% of models in the atlas. How it’s calculated

AA Intelligence Index v4.3.2

Source

11.4

General
22.2
Scientific
4.5
Coding
19.2
Agents
0

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