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ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Aug 25, 2026 · Apple M1 Pro

qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Good

Aug 22, 2026 · Apple M1 Pro

Global Score
72 vs 69
Hardware Fit
71 vs 85
Quality Score
72 vs 62

Hardware

ministral-3:8b qwen3.5:4b
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M1 Pro
Cores1010
RAM16 GB16 GB
GPUApple M1 ProApple M1 Pro
OSmacOS 26.6.2macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

ministral-3:8b qwen3.5:4b
Tokens/sec19.836.9
First chunk269 ms474 ms
TTFT269 ms6.9 s
Load time10.7 s2.9 s
Memory usage13.7 GB5.3 GB
Memory %86%33%

HW Fit Score Breakdown

ministral-3:8b

Speed
44/50
TTFT
20/20
Memory
7/30

qwen3.5:4b

Speed
50/50
TTFT
6/20
Memory
29/30

Quality

ministral-3:8b

Reasoning
12/20
Coding
18/20
Instruction
13/20
Structured
13/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

qwen3.5:4b

Reasoning
16/20
Coding
1/20
Instruction
14/20
Structured
9/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Strong Multilingual: Strong

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