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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

phi3:14b

OLLAMA GGUF

phi3 · 14.0B · Q4_0

Good

Mar 2, 2026 · Apple M4

Global Score
83 vs 63
Hardware Fit
90 vs 83
Quality Score
80 vs 55

Hardware

ministral-3-14b-in… phi3:14b
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… phi3:14b
Tokens/sec83.712.7
First chunk16 msN/A
TTFT117 ms434 ms
Load timeN/A0.9 s
Memory usage18.2 GB17.7 GB
Memory %60%55%

HW Fit Score Breakdown

ministral-3-14b-instruc…

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

phi3:14b

Speed
23/50
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

phi3:14b

Reasoning
14/20
Coding
2/20
Instruction
14/20
Structured
7/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Adequate 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