ministral-3-14b-instruct-2512
LM-STUDIO GGUFmistral3 · 14B · Q5_K_M
Jul 4, 2026 · AMD Ryzen 7 7800X3D 8-Core Processor
qwen3.5:4b
OLLAMA GGUFqwen35 · 4.7B · Q4_K_M
Mar 5, 2026 · Apple M4
Global Score
83 vs 48
Hardware Fit
90 vs 77
Quality Score
80 vs 35
Hardware
ministral-3-14b-in… qwen3.5:4b
MachineASUSMac mini
CPUAMD Ryzen 7 7800X3D 8-Core ProcessorApple M4
Cores1610
RAM31 GB16 GB
GPUNVIDIA GeForce RTX 4090, RaphaelApple M4
OScachyos rollingmacOS 26.3
Archx64arm64
Power Modelow-powerbalanced
Performance
ministral-3-14b-in… qwen3.5:4b
Tokens/sec83.718.9
First chunk16 ms316 ms
TTFT117 ms13.0 s
Load timeN/A3.7 s
Memory usage18.2 GB5.9 GB
Memory %60%37%
HW Fit Score Breakdown
ministral-3-14b-instruc…
Speed
50/50
TTFT
20/20
Memory
20/30
qwen3.5:4b
Speed
43/50
TTFT
4/20
Memory
30/30
Quality
ministral-3-14b-instruc…
Reasoning
17/20
Coding
17/20
Instruction
15/20
Structured
14/15
Math
7/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
qwen3.5:4b
Reasoning
10/20
Coding
1/20
Instruction
4/20
Structured
3/15
Math
8/15
Multilingual
9/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest