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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

smollm2:135m

OLLAMA GGUF

llama · 134.52M · F16

Marginal

Mar 2, 2026 · Apple M4

Global Score
83 vs 41
Hardware Fit
90 vs 100
Quality Score
80 vs 15

Hardware

ministral-3-14b-in… smollm2:135m
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… smollm2:135m
Tokens/sec83.7241.0
First chunk16 msN/A
TTFT117 ms39 ms
Load timeN/A0.4 s
Memory usage18.2 GB0.6 GB
Memory %60%2%

HW Fit Score Breakdown

ministral-3-14b-instruc…

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

smollm2:135m

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

smollm2:135m

Reasoning
4/20
Coding
1/20
Instruction
6/20
Structured
2/15
Math
1/15
Multilingual
1/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor

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