Model
Model explorer
DeepSeek-R1 671B
OPENDeepSeek · 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
best: Claude Opus 4.5 · 89.4%
best: GPT-5.2 · 100.0%
best: Tülu 2+DPO 70B · 95.1%
best: Qwen3-235B-A22B (Non-Thinking) · 96.1%
best: Qwen3.6-Plus · 93.3%
best: DeepSeek-V4-Pro (Think Max) · 3206
best: Hunyuan-T1 · 93.1
best: MiniMax-M2 · 75.7%
best: GPT-5.6 · 94.6%
best: Gemma 4 26B A4B · 98.5%
best: DeepSeek-V4-Pro (Think Max) · 93.5%
best: GPT-5 · 99.4%
best: Claude Fable 5 · 91.5%
best: Qwen3.7-Max · 95.0%
best: OpenAI o3 · 92.9%
best: DeepSeek-Prover-V2 671B · 7.1%
best: GPT-4.5 · 62.5%
best: Qwen3.7-Max · 73.6%
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
DeepSeek-R1 family
Elo progression across releases
API price $0.55/$2.19 · each benchmark row carries its own source badge (see methodology)