ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Jun 25, 2026 · Apple M4 Pro

qwen3-1.7b

LM-STUDIO GGUF

qwen3 · 1.7B · Q4_K_M

Not Rec.

Mar 7, 2026 · Intel Core™ i5-5300U

Global Score

79 vs 19

Hardware Fit

98 vs 64

Quality Score

71 vs 0

Hardware

ministral-3:8b qwen3-1.7b

MachineMac miniLENOVO 20BUS00700

CPUApple M4 ProIntel Core™ i5-5300U

Cores124

RAM24 GB16 GB

GPUApple M4 ProIntel(R) HD Graphics 5500

OSmacOS 15.6.1Microsoft Windows 10 Professionnel 10.0.19045

Archarm64x64

Power Modebalancedbalanced

Performance

ministral-3:8b qwen3-1.7b

Tokens/sec41.45.9

First chunk257 ms2111 ms

TTFT257 ms2.1 s

Load time5.2 sN/A

Memory usage9.0 GB1.2 GB

Memory %38%8%

HW Fit Score Breakdown

ministral-3:8b

Speed

50/50

TTFT

20/20

Memory

28/30

qwen3-1.7b

Speed

21/50

TTFT

19/20

Memory

24/30

Quality

ministral-3:8b

Reasoning

12/20

Coding

18/20

Instruction

12/20

Structured

13/15

Math

6/15

Multilingual

10/10

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

qwen3-1.7b

Reasoning

0/20

Coding

0/20

Instruction

0/20

Structured

0/15

Math

0/15

Multilingual

0/10

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

View ministral-3:8b details | View qwen3-1.7b 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