qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Aug 22, 2026 · Apple M1 Pro
qwen3.8-27b-mlx
LM-STUDIO MLXqwen3_5 · 27B · 8bit
Aug 17, 2026 · Apple M5 Max
Global Score
58 vs 59
Hardware Fit
79 vs 63
Quality Score
49 vs 58
Hardware
qwen3.5:9b qwen3.8-27b-mlx
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M5 Max
Cores1018
RAM16 GB64 GB
GPUApple M1 ProApple M5 Max
OSmacOS 26.6.2macOS 27.0
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5:9b qwen3.8-27b-mlx
Tokens/sec22.118.3
First chunk601 ms4 ms
TTFT9.1 s530 ms
Load time4.2 sN/A
Memory usage7.2 GB38.5 GB
Memory %45%60%
HW Fit Score Breakdown
qwen3.5:9b
Speed
48/50
TTFT
5/20
Memory
26/30
qwen3.8-27b-mlx
Speed
23/50
TTFT
20/20
Memory
20/30
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
qwen3.8-27b-mlx
Reasoning
19/20
Coding
14/20
Instruction
6/20
Structured
1/15
Math
13/15
Multilingual
5/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
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