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ministral-3-14b-instruct-2512

LM-STUDIO GGUF

mistral3 · 14B · Q5_K_M

Excellent

Jul 4, 2026 · AMD Ryzen 7 7800X3D 8-Core Processor

llama3.2:latest

OLLAMA GGUF

llama · 3.2B · Q4_K_M

Good

Feb 28, 2026 · Apple M4 Pro

Global Score
83 vs 73
Hardware Fit
90 vs 100
Quality Score
80 vs 61

Hardware

ministral-3-14b-in… llama3.2:latest
MachineASUSMac Mini
CPUAMD Ryzen 7 7800X3D 8-Core ProcessorApple M4 Pro
Cores1614
RAM31 GB64 GB
GPUNVIDIA GeForce RTX 4090, RaphaelApple M4 Pro
OScachyos rollingmacOS 15.7.4
Archx64arm64
Power Modelow-powerunknown

Performance

ministral-3-14b-in… llama3.2:latest
Tokens/sec83.798.9
First chunk16 msN/A
TTFT117 ms125 ms
Load timeN/A2.3 s
Memory usage18.2 GB22.1 GB
Memory %60%35%

HW Fit Score Breakdown

ministral-3-14b-instruc…

Speed
50/50
TTFT
20/20
Memory
20/30

llama3.2:latest

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

llama3.2:latest

Reasoning
11/20
Coding
14/20
Instruction
12/20
Structured
12/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest