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 25, 2026 · Apple M1 Pro

Global Score

83 vs 71

Hardware Fit

90 vs 100

Quality Score

80 vs 58

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/sec83.788.1

First chunk16 ms38 ms

TTFT117 ms38 ms

Load timeN/A1.6 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

12/20

Coding

10/20

Instruction

15/20

Structured

11/15

Math

3/15

Multilingual

7/10

Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Adequate Math: Poor Multilingual: Adequate

View ministral-3-14b-in… details | View hf.co/openbmb/Mini… details

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