ministral-3-14b-instruct-2512

LM-STUDIO GGUF

mistral3 · 14B · Q5_K_M

Excellent

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

qwen3.5:0.8b

OLLAMA GGUF

qwen35 · 873.44M · Q8_0

Good

Mar 2, 2026 · Apple M4

Global Score

83 vs 65

Hardware Fit

90 vs 99

Quality Score

80 vs 51

Hardware

ministral-3-14b-in… qwen3.5:0.8b

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… qwen3.5:0.8b

Tokens/sec83.748.2

First chunk16 msN/A

TTFT117 ms195 ms

Load timeN/A1.0 s

Memory usage18.2 GB2.5 GB

Memory %60%8%

HW Fit Score Breakdown

ministral-3-14b-instruc…

Speed

50/50

TTFT

20/20

Memory

20/30

qwen3.5:0.8b

Speed

40/50

TTFT

30/20

Memory

29/30

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

qwen3.5:0.8b

Reasoning

9/20

Coding

6/20

Instruction

11/20

Structured

13/15

Math

5/15

Multilingual

7/10

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

View ministral-3-14b-in… details | View qwen3.5:0.8b 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