FitMyLLM
Mistral AI/Dense

Mistral AIMinistral 3 14B Reasoning

Ministral 3 14B Reasoning — the largest of the Ministral 3 thinking models, dense, 256K context.

chatreasoningmathcodingmultilingual
13.95B
Parameters
256K
Context length
0
Benchmarks
10
Quantizations
23K
HF downloads
Architecture
Dense
Released
2025-12-02
Layers
40
KV Heads
8
Head Dim
128
Family
mistral

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q3_K_M4
9.3 GB
7.5 + 1.9 KV
low
Q3_K_L4.3
9.9 GB
8.0 + 1.9 KV
moderate
IQ4_XS4.46
10.1 GB
8.3 + 1.9 KV
moderate
Q4_K_S4.67
10.5 GB
8.6 + 1.9 KV
moderate
Q4_K_M4.89
10.9 GB
9.0 + 1.9 KV
good
Q5_K_S5.57
12.1 GB
10.2 + 1.9 KV
good
Q5_K_M5.7
12.3 GB
10.4 + 1.9 KV
good
Q6_K6.56
13.8 GB
11.9 + 1.9 KV
excellent
Q8_08.5
17.2 GB
15.3 + 1.9 KV
lossless
FP1616
30.3 GB
28.4 + 1.9 KV
lossless

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

Deploying for a team or in production? Size GPUs, cost & scaling in Enterprise →
READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN MINISTRAL 3 14B REASONING NOW

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

Community Ratings

Loading ratings...

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run mistral:14b-q4_K_M

Tag may need adjustment — check ollama.com/library/mistral for available tags.

▸ 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

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA CMP 170HX 10 GB
10 GB VRAM • 1560 GB/s
NVIDIA
NVIDIA CMP 50HX
10 GB VRAM • 560 GB/s
NVIDIA
NVIDIA CMP 90HX
10 GB VRAM • 760 GB/s
NVIDIA
NVIDIA Tesla K40c
12 GB VRAM • 288 GB/s
NVIDIA
NVIDIA Tesla K40d
12 GB VRAM • 288 GB/s
NVIDIA
NVIDIA Tesla K40m
12 GB VRAM • 288 GB/s
NVIDIA

Find the best GPU for Ministral 3 14B Reasoning

Build Hardware for Ministral 3 14B Reasoning
▸ SPEC SHEET

Ministral 3 14B Reasoning13.95B Dense.

▸ SPECIFICATIONS
PARAMETERS
13.95B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
256K tokens
CAPABILITIES
chat, reasoning, math, coding, multilingual
RELEASE DATE
2025-12-02
PROVIDER
Mistral AI
FAMILY
mistral
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q3_K_M47.5 GB88%
Q3_K_L4.38.0 GB90%
IQ4_XS4.468.3 GB92%
Q4_K_S4.678.6 GB93%
Q4_K_M4.899.0 GB94%
Q5_K_S5.5710.2 GB96%
Q5_K_M5.710.4 GB96%
Q6_K6.5611.9 GB97%
Q8_08.515.3 GB100%
FP161628.4 GB100%
§ 03COMPATIBLE GPUs
30 @ Q4_K_M