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
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$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest