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qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Marginal

Aug 22, 2026 · Apple M1 Pro

hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M

OLLAMA GGUF

qwen35 · 4.33B · unknown

Good

Aug 28, 2026 · Apple M4

Global Score
58 vs 66
Hardware Fit
79 vs 100
Quality Score
49 vs 52

Hardware

qwen3.5:9b hf.co/empero-ai/Qw…
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M4
Cores1010
RAM16 GB16 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.6.1
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5:9b hf.co/empero-ai/Qw…
Tokens/sec22.126.5
First chunk601 ms447 ms
TTFT9.1 s447 ms
Load time4.2 s3.3 s
Memory usage7.2 GB4.8 GB
Memory %45%30%

HW Fit Score Breakdown

qwen3.5:9b

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

hf.co/empero-ai/Qwen3.8…

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

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

hf.co/empero-ai/Qwen3.8…

Reasoning
18/20
Coding
14/20
Instruction
4/20
Structured
1/15
Math
15/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor

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