qwen3.5:9b-mlx
OLLAMA GGUFnvfp4
Aug 26, 2026 · Apple M1 Pro
qwen2.5-7b-instruct
LM-STUDIO MLXqwen2 · 7B · 4bit
Mar 3, 2026 · Apple M4
Global Score
54 vs 82
Hardware Fit
81 vs 92
Quality Score
43 vs 78
Hardware
qwen3.5:9b-mlx qwen2.5-7b-instruct
MachineMacBook ProMacBook Air
CPUApple M1 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5:9b-mlx qwen2.5-7b-instruct
Tokens/sec25.222.0
First chunk341 ms477 ms
TTFT6.3 s477 ms
Load time3.4 sN/A
Memory usage8.4 GB4.0 GB
Memory %52%13%
HW Fit Score Breakdown
qwen3.5:9b-mlx
Speed
50/50
TTFT
7/20
Memory
24/30
qwen2.5-7b-instruct
Speed
43/50
TTFT
20/20
Memory
29/30
Quality
qwen3.5:9b-mlx
Reasoning
14/20
Coding
2/20
Instruction
4/20
Structured
4/15
Math
10/15
Multilingual
9/10
Reasoning: Adequate Coding: Poor Instruction Following: Poor Structured Output: Weak Math: Adequate Multilingual: Strong
qwen2.5-7b-instruct
Reasoning
14/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
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