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qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Good

Aug 26, 2026 · Apple M1 Pro

ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Aug 25, 2026 · Apple M1 Pro

Global Score
68 vs 72
Hardware Fit
86 vs 71
Quality Score
60 vs 72

Hardware

qwen3.5:4b ministral-3:8b
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

qwen3.5:4b ministral-3:8b
Tokens/sec36.519.8
First chunk207 ms269 ms
TTFT6.6 s269 ms
Load time3.2 s10.7 s
Memory usage5.3 GB13.7 GB
Memory %33%86%

HW Fit Score Breakdown

qwen3.5:4b

Speed
50/50
TTFT
7/20
Memory
29/30

ministral-3:8b

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

Quality

qwen3.5:4b

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

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

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