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qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 5, 2026 · Apple M1 Max

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

Global Score
85 vs 89
Hardware Fit
95 vs 95
Quality Score
80 vs 87

Hardware

qwen3.5:9b qwen/qwen3-8b
MachineMacBook ProMac mini
CPUApple M1 MaxApple M4 Pro
Cores1014
RAM32 GB64 GB
GPUApple M1 MaxApple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5:9b qwen/qwen3-8b
Tokens/sec23.133.4
First chunk358 ms257 ms
TTFT358 ms257 ms
Load time3.6 sN/A
Memory usage9.1 GB4.3 GB
Memory %28%7%

HW Fit Score Breakdown

qwen3.5:9b

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

qwen/qwen3-8b

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

Quality

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

qwen/qwen3-8b

Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong 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