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qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Marginal

Aug 22, 2026 · Apple M1 Pro

granite4.2:3b

OLLAMA GGUF

granite · 3.7B · Q4_K_M

Excellent

Aug 29, 2026 · Apple M1 Pro

Global Score
58 vs 80
Hardware Fit
79 vs 80
Quality Score
49 vs 80

Hardware

qwen3.5:9b granite4.2:3b
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

qwen3.5:9b granite4.2:3b
Tokens/sec22.146.8
First chunk601 ms135 ms
TTFT9.1 s135 ms
Load time4.2 s0.0 s
Memory usage7.2 GB12.7 GB
Memory %45%79%

HW Fit Score Breakdown

qwen3.5:9b

Speed
48/50
TTFT
5/20
Memory
26/30

granite4.2:3b

Speed
50/50
TTFT
20/20
Memory
10/30

Quality

qwen3.5:9b

Reasoning
15/20
Coding
4/20
Instruction
5/20
Structured
6/15
Math
11/15
Multilingual
8/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Adequate Multilingual: Strong

granite4.2:3b

Reasoning
18/20
Coding
13/20
Instruction
12/20
Structured
15/15
Math
14/15
Multilingual
8/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong 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