ministral-3-14b-instruct-2512
LM-STUDIO GGUFmistral3 · 14B · Q5_K_M
Jul 4, 2026 · AMD Ryzen 7 7800X3D 8-Core Processor
llama3.2:3b
OLLAMA GGUFllama · 3.2B · Q4_K_M
Mar 2, 2026 · Apple M4
Global Score
83 vs 74
Hardware Fit
90 vs 100
Quality Score
80 vs 63
Hardware
ministral-3-14b-in… llama3.2:3b
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… llama3.2:3b
Tokens/sec83.744.1
First chunk16 msN/A
TTFT117 ms178 ms
Load timeN/A0.8 s
Memory usage18.2 GB7.0 GB
Memory %60%22%
HW Fit Score Breakdown
ministral-3-14b-instruc…
Speed
50/50
TTFT
20/20
Memory
20/30
llama3.2:3b
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
llama3.2:3b
Reasoning
11/20
Coding
14/20
Instruction
14/20
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$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest