Back to leaderboard

ministral-3-14b-instruct-2512

LM-STUDIO GGUF

mistral3 · 14B · Q5_K_M

Excellent

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

hf.co/openbmb/MiniCPM5-1B-GGUF:F16

OLLAMA GGUF

llama · 1.08B · F16

Good

Aug 22, 2026 · Apple M1 Pro

Global Score
83 vs 62
Hardware Fit
90 vs 100
Quality Score
80 vs 45

Hardware

ministral-3-14b-in… hf.co/openbmb/Mini…
MachineASUSMacBook Pro
CPUAMD Ryzen 7 7800X3D 8-Core ProcessorApple M1 Pro
Cores1610
RAM31 GB16 GB
GPUNVIDIA GeForce RTX 4090, RaphaelApple M1 Pro
OScachyos rollingmacOS 26.6.2
Archx64arm64
Power Modelow-powerbalanced

Performance

ministral-3-14b-in… hf.co/openbmb/Mini…
Tokens/sec83.788.6
First chunk16 ms165 ms
TTFT117 ms165 ms
Load timeN/A0.1 s
Memory usage18.2 GB3.9 GB
Memory %60%25%

HW Fit Score Breakdown

ministral-3-14b-instruc…

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

hf.co/openbmb/MiniCPM5-…

Speed
50/50
TTFT
20/20
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

hf.co/openbmb/MiniCPM5-…

Reasoning
16/20
Coding
9/20
Instruction
4/20
Structured
0/15
Math
14/15
Multilingual
2/10
Reasoning: Strong Coding: Weak Instruction Following: Poor Structured Output: Poor Math: Strong 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