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URL: https://willitrunai.com/models/ministral-3-14b

โ‡ฑ Ministral 3 14B VRAM Requirements โ€” GPU Compatibility


๐Ÿ‘ Mistral
Mistral

Ministral 3 14B

Frontier
๐Ÿ‘ huggingface
HuggingFace
105.9KDownloads294LikesOct 2025Released262K tokensContextApache 2.0License82 StrongQuality

Ministral 3 14B (14B parameters) requires approximately 14.0 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 17 GB of VRAM.

Get started

โ€” copy & paste to run locally

Copy-paste commands to run Ministral 3 14B on your machine.

Run

docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \ --hf-repo "mistralai/Ministral-3-14B-Instruct-2512" \ --hf-file "Ministral-3-14B-Instruct-2512-Q4_K_M.gguf" \ -c 4096 -ngl 99

Quick specs

Parameters14B
Architecturemultimodal
Context262K tokens
Modalitytext+vision
Min RAM5.5 GB
Rec. RAM8.5 GB (Q4_K_M)
LicenseApache 2.0
FamilyMinistral
โœ“ Visionโœ“ Chat

About this model

The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and efficient language model with vision capabilities.

  • โ€ข13.5B Language Model
  • โ€ข0.4B Vision Encoder
  • โ€ขVision: Enables the model to analyze images and provide insights based on visual content, in addition to text
  • โ€ขMultilingual: Supports dozens of languages, including English, French, Spanish, German, Italian, Portuguese, Dutch, Chinese, Japanese, Korean, Arabic
  • โ€ขSystem Prompt: Maintains strong adherence and support for system prompts

Related models

Your hardware

Detecting...

Quick picks

Best budgetA
RX 7600 XT 16GB~$329 โ€” 21 tok/s
Best overallS
RX 7900 XT 20GB~$899 โ€” 60 tok/s

Best hardware

Top picks for Ministral 3 14B

RX 7900 XT 20GBS
20 GB
RTX 4090 24GBS
24 GB
RTX 5090 Laptop 24GBS
24 GB
RX 7900 XTX 24GBS
24 GB
NVIDIA A30 24GBS
24 GB

Run this model

Ministral 3 14B on RX 7900 XT 20GBMinistral 3 14B on RTX 4090 24GBMinistral 3 14B on RTX 5090 Laptop 24GB

Quantization options

VRAM estimates by quant level

No hardware detected โ€” fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
5.5 GB
Lowโ€”
Q3_K_S
3
6.9 GB
Lowโ€”
NVFP4
4
7.8 GB
Mediumโ€”
Q4_K_M
4
8.5 GB
Mediumโ€”
Q5_K_M
5
10.1 GB
Highโ€”
Q6_K
6
11.5 GB
Highโ€”
Q8_0
8
15.0 GB
Very Highโ€”
F16
16
28.7 GB
Maximumโ€”

Quality benchmarks

Ministral 3 14B benchmark scores

Benchmark verified

Reasoning

MMLU-Proโ€”
GPQA Diamond39.9%
MATH-500โ€”
ARC Challenge89.9%

Source: official ยท 2025-12-01

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: RTX 2060 6GB

Weights8.5 GB
KV Cache2.4 GB
Runtime2.4 GB
Headroom0.6 GB

Frequently asked questions

FAQ โ€” Ministral 3 14B

See also

Quantization GuideScoring MethodologyVRAM Calculator