qwen3.5-9b-mlx
LM-STUDIO MLXqwen3_5 · 9B · 4bit
Mar 11, 2026 · Apple M4
qwen3.5:0.8b
OLLAMA GGUFqwen35 · 873.44M · Q8_0
Mar 5, 2026 · Apple M1 Max
Global Score
59 vs 62
Hardware Fit
65 vs 100
Quality Score
57 vs 46
Hardware
qwen3.5-9b-mlx qwen3.5:0.8b
MachineMac miniMacBook Pro
CPUApple M4Apple M1 Max
Cores1010
RAM24 GB32 GB
GPUApple M4Apple M1 Max
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5-9b-mlx qwen3.5:0.8b
Tokens/sec14.367.6
First chunk24 ms209 ms
TTFT13.4 s209 ms
Load time13.3 s1.9 s
Memory usage2.5 GB2.6 GB
Memory %10%8%
HW Fit Score Breakdown
qwen3.5-9b-mlx
Speed
32/50
TTFT
3/20
Memory
30/30
qwen3.5:0.8b
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5-9b-mlx
Reasoning
10/20
Coding
17/20
Instruction
5/20
Structured
9/15
Math
11/15
Multilingual
5/10
Reasoning: Weak Coding: Strong Instruction Following: Weak Structured Output: Adequate Math: Adequate Multilingual: Adequate
qwen3.5:0.8b
Reasoning
9/20
Coding
4/20
Instruction
11/20
Structured
13/15
Math
3/15
Multilingual
6/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest