ministral-3-14b-instruct-2512
LM-STUDIO GGUFmistral3 · 14B · Q5_K_M
Jul 4, 2026 · AMD Ryzen 7 7800X3D 8-Core Processor
phi3:3.8b
OLLAMA GGUFphi3 · 3.8B · Q4_0
Mar 2, 2026 · Apple M4
Global Score
83 vs 64
Hardware Fit
90 vs 100
Quality Score
80 vs 48
Hardware
ministral-3-14b-in… phi3:3.8b
MachineASUSMacBook Air
CPUAMD Ryzen 7 7800X3D 8-Core ProcessorApple M4
Cores1610
RAM31 GB32 GB
GPUNVIDIA GeForce RTX 4090, RaphaelApple M4
OScachyos rollingmacOS 26.3
Archx64arm64
Power Modelow-powerbalanced
Performance
ministral-3-14b-in… phi3:3.8b
Tokens/sec83.742.0
First chunk16 msN/A
TTFT117 ms142 ms
Load timeN/A1.1 s
Memory usage18.2 GB16.0 GB
Memory %60%50%
HW Fit Score Breakdown
ministral-3-14b-instruc…
Speed
50/50
TTFT
20/20
Memory
20/30
phi3:3.8b
Speed
40/50
TTFT
30/20
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
phi3:3.8b
Reasoning
12/20
Coding
3/20
Instruction
11/20
Structured
10/15
Math
5/15
Multilingual
7/10
Reasoning: Adequate Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Weak Multilingual: Adequate
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