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ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Aug 25, 2026 · Apple M1 Pro

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 5, 2026 · Apple M1 Max

Global Score
72 vs 85
Hardware Fit
71 vs 95
Quality Score
72 vs 80

Hardware

ministral-3:8b qwen3.5:9b
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M1 Max
Cores1010
RAM16 GB32 GB
GPUApple M1 ProApple M1 Max
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

ministral-3:8b qwen3.5:9b
Tokens/sec19.823.1
First chunk269 ms358 ms
TTFT269 ms358 ms
Load time10.7 s3.6 s
Memory usage13.7 GB9.1 GB
Memory %86%28%

HW Fit Score Breakdown

ministral-3:8b

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

qwen3.5:9b

Speed
45/50
TTFT
20/20
Memory
30/30

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

qwen3.5:9b

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