FitMyLLM
DeepSeek/Mixture of Experts

DeepSeekDeepSeek V3.1

DeepSeek V3.1 — latest iteration. Frontier coding, math, and multilingual.

chatcodingreasoningmultilingualmathThinkingTool Use
671B
Parameters (37B active)
125K
Context length
17
Benchmarks
17
Quantizations
300K
HF downloads
Architecture
MoE
Released
2025-06-01
Layers
61
KV Heads
128
Head Dim
56
Family
deepseek

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
IQ2_XXS2.38
200.9 GB
200.1 + 0.8 KV
low
IQ2_M2.93
247.0 GB
246.2 + 0.8 KV
low
Q2_K3.16
266.3 GB
265.5 + 0.8 KV
low
IQ3_XXS3.25
273.9 GB
273.1 + 0.8 KV
low
IQ3_XS3.5
294.9 GB
294.1 + 0.8 KV
low
Q3_K_S3.64
306.6 GB
305.8 + 0.8 KV
low
IQ3_M3.76
316.7 GB
315.9 + 0.8 KV
low
Q3_K_M4
336.8 GB
336.0 + 0.8 KV
low
Q3_K_L4.3
362.0 GB
361.2 + 0.8 KV
moderate
IQ4_XS4.46
375.4 GB
374.6 + 0.8 KV
moderate
Q4_K_S4.67
393.0 GB
392.2 + 0.8 KV
moderate
Q4_K_M4.89
411.4 GB
410.6 + 0.8 KV
good
Q5_K_S5.57
468.5 GB
467.7 + 0.8 KV
good
Q5_K_M5.7
479.4 GB
478.6 + 0.8 KV
good
Q6_K6.56
551.5 GB
550.7 + 0.8 KV
excellent
Q8_08.5
714.2 GB
713.4 + 0.8 KV
lossless
FP1616
1343.3 GB
1342.5 + 0.8 KV
lossless

Select your GPU above to see speed estimates and compatibility for each quantization.

Too big for a single GPU — plan a multi-GPU deployment
Even the lightest quant needs ~201 GB. Size GPUs, replicas, TCO and scaling for a production setup. Open in Enterprise →
▸ READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN DEEPSEEK V3.1 NOW

Rent on Vast.ai →Or RunPod →

Spin up an A100 / H100 / 4090 in ~60s. Pay by the second. Cancel anytime.

Community Ratings

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Benchmarks (17)

Arena Elo1499
AIME89.7
AA Math89.7
MMLU-PRO83.7
LiveCodeBench78.4
GPQA Diamond77.9
GPQA74.9
BigCodeBench50.0
MATH-50049.7
AA Long Context45.0
IFBench37.8
SciCode36.7
τ²-Bench34.8
AA Coding29.7
AA Intelligence27.7
Terminal-Bench24.2
HLE13.0

Run this model

▸Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run deepseek-v3.1:671b-terminus-q4_K_M

Downloads and runs automatically. Add --verbose for speed stats.

▸ SETUP GUIDE
>_

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more
Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines
HuggingFaceOllama LibraryGGUF DownloadsBuild Hardware

Find the best GPU for DeepSeek V3.1

Build Hardware for DeepSeek V3.1

Model Card

View on HuggingFace

DeepSeek V3.1 — latest iteration. Frontier coding, math, and multilingual.

▸ SPEC SHEET

DeepSeek V3.1 — 671B MoE.

▸ SPECIFICATIONS
PARAMETERS
671B (37B active)
ARCHITECTURE
Mixture of Experts
CONTEXT LENGTH
125K tokens
CAPABILITIES
chat, coding, reasoning, multilingual, math
RELEASE DATE
2025-06-01
PROVIDER
DeepSeek
FAMILY
deepseek
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
IQ2_XXS2.38200.1 GB65%
IQ2_M2.93246.2 GB75%
Q2_K3.16265.5 GB78%
IQ3_XXS3.25273.1 GB82%
IQ3_XS3.5294.1 GB84%
Q3_K_S3.64305.8 GB85%
IQ3_M3.76315.9 GB86%
Q3_K_M4336.0 GB88%
Q3_K_L4.3361.2 GB90%
IQ4_XS4.46374.6 GB92%
Q4_K_S4.67392.2 GB93%
Q4_K_M4.89410.6 GB94%
Q5_K_S5.57467.7 GB96%
Q5_K_M5.7478.6 GB96%
Q6_K6.56550.7 GB97%
Q8_08.5713.4 GB100%
FP16161342.5 GB100%
§ 01BENCHMARK SCORES
MMLU-PRO83.7
GPQA74.9
BigCodeBench50.0
Arena Elo1499.0
GPQA Diamond77.9
LiveCodeBench78.4
AIME89.7
HLE13.0
AA Intelligence27.7
AA Coding29.7
AA Math89.7
aa_ifbench37.8
aa_terminal_bench24.2
aa_tau234.8
aa_scicode36.7
aa_lcr45.0
MATH-50049.7
§ 02RUN COMMAND

Run DeepSeek V3.1 locally with Ollama — needs 410.6 GB VRAM at Q4_K_M:

$ollama run deepseek-v3.1:671b