ministral-3-14b-instruct-2512

mistral3 · 14B · Q5_K_M

ECO MODE

ASUS (AMD Ryzen 7 7800X3D 8-Core Processor)

31 GB · cachyos rolling

Tested on July 4, 2026
Top 20% Compare
Global Score
83 /100
Excellent
Hardware Fit
90/100
Quality
80/100

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Hardware

Machine
ASUS
CPU
AMD Ryzen 7 7800X3D 8-Core Processor
Cores
16 threads (8 cores)
Frequency
2.55 GHz
RAM
31 GB
GPU
NVIDIA GeForce RTX 4090, Raphael
OS
cachyos rolling
Arch
x64
Power Mode
low-power

Performance

Tokens/sec
83.7
Standard deviation
±0.1
First chunk latency
16 ms
Time to first token
117 ms
Load time
N/A
Memory usage
18.2 GB (60%)
Total tokens
1146

Score breakdown

Speed
50/50
Time to first token
20/20
Memory
20/30

Quality

Reasoning
17/20
Coding
17/20
Instruction following
15/20
Structured output
14/15
Math
7/15
Multilingual
10/10

Category levels

Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

Metadata

Spec version
0.2.1
Runtime
LM Studio
Model format
GGUF
Hardware profile
BALANCED
Result hash
b59fb7ea35e786ab2fc9f3cb2a1f9215d07873346bd6f3e4217230ec59a1b242

Interpretation

Hardware fit: 90/100. Overall suitability: EXCELLENT (Global 83/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Weak, Multilingual: Strong.

Warnings

  • Model memory footprint is estimated via LM Studio CLI rather than measured from a fresh load.
  • System was in low-power mode during this benchmark.

Bench Environment

Thermal: nominal CPU load: avg 10% (peak 21%)

Run yours now

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest