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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

lfm2.5-thinking:1.2b

OLLAMA GGUF

lfm2 · 1.2B · Q4_K_M

Not Rec.

May 25, 2026 · Apple M4 Pro

Global Score
83 vs 60
Hardware Fit
90 vs 80
Quality Score
80 vs 52

Hardware

ministral-3-14b-in… lfm2.5-thinking:1.2b
MachineASUSMacBook Pro
CPUAMD Ryzen 7 7800X3D 8-Core ProcessorApple M4 Pro
Cores1614
RAM31 GB48 GB
GPUNVIDIA GeForce RTX 4090, RaphaelApple M4 Pro
OScachyos rollingmacOS 26.4.1
Archx64arm64
Power Modelow-powerbalanced

Performance

ministral-3-14b-in… lfm2.5-thinking:1.2b
Tokens/sec83.7227.0
First chunk16 ms60 ms
TTFT117 ms30.0 s
Load timeN/A0.7 s
Memory usage18.2 GB2.6 GB
Memory %60%6%

HW Fit Score Breakdown

ministral-3-14b-instruc…

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

lfm2.5-thinking:1.2b

Speed
50/50
TTFT
0/20
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

lfm2.5-thinking:1.2b

Reasoning
8/20
Coding
6/20
Instruction
10/20
Structured
7/15
Math
12/15
Multilingual
9/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Weak Math: Strong 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