Model
Model explorer

DeepSeek-R1 671B

OPEN
DeepSeek · DeepSeek-R1 family · released Jan 20, 2025

Open reasoning flagship trained with RL on top of V3-Base; matched OpenAI o1 on math/code and triggered a historic US tech-stock selloff on release.

ReasoningCodingVisionFunction callingTool useAgentic
1574.5
Elo · rank #106
Parameters
671B
Active params
37B (MoE)
Context
128K tokens
Architecture
DeepSeekMoE: 256 routed + 1 shared expert, top-8 routing, 61 layers (3 dense + 58 MoE), Multi-head Latent Attention (MLA)
License
MIT
Languages
API price (in/out)
$0.55 / $2.19
Modalities
text
Benchmark results
Bar shows position within the tracked field; marker = field best
Aider PolyglotCoding53.3%#23
best: Claude Opus 4.5 · 89.4%
AIMEMath79.8%#79
best: GPT-5.2 · 100.0%
AlpacaEvalHuman preference87.6%#4
best: Tülu 2+DPO 70B · 95.1%
Arena-HardHuman preference92.3%#5
best: Qwen3-235B-A22B (Non-Thinking) · 96.1%
C-EvalKnowledge91.8%#8
best: Qwen3.6-Plus · 93.3%
CodeforcesCoding2029#19
best: DeepSeek-V4-Pro (Think Max) · 3206
DROPReasoning92.2#3
best: Hunyuan-T1 · 93.1
GAIAAgents30.3%#10
best: MiniMax-M2 · 75.7%
GPQA DiamondReasoning71.5%#115
best: GPT-5.6 · 94.6%
IFEvalReasoning83.3%#79
best: Gemma 4 26B A4B · 98.5%
LiveCodeBenchCoding65.9%#81
best: DeepSeek-V4-Pro (Think Max) · 93.5%
MATH-500Math97.3%#17
best: GPT-5 · 99.4%
MMLU-ProKnowledge84.0%#33
best: Claude Fable 5 · 91.5%
MMLU-ReduxKnowledge92.9%#15
best: Qwen3.7-Max · 95.0%
MMLUKnowledge90.8%#5
best: OpenAI o3 · 92.9%
PutnamBenchMath0.1%#5
best: DeepSeek-Prover-V2 671B · 7.1%
SimpleQAKnowledge30.1%#14
best: GPT-4.5 · 62.5%
SuperGPQAReasoning61.8%#15
best: Qwen3.7-Max · 73.6%
SWE-bench VerifiedCoding49.2%#91
best: Claude Fable 5 · 95.0%
Run it locally
VRAM @ Q4
404 GB
VRAM @ FP16
1342 GB
Fits on (Q4)
Multi-node cluster required
671B MoE far exceeds a single 24GB 4090; Q4_K_M alone needs ~404GB, so real deployments use multi-GPU servers or heavy CPU offload (Unsloth's 1.58-bit dynamic quant fits ~131-170GB for partial-offload rigs).
Quantizations
GGUF Q4_K_M · GGUF IQ1/IQ2 (Unsloth Dynamic) · AWQ · MLX
API price $0.55/$2.19 · each benchmark row carries its own source badge (see methodology)