qwen2.5:1.5b
OLLAMA GGUFqwen2 · 1.5B · Q4_K_M
Mar 16, 2026 · Intel Core™ i7-4771
qwen3.5-9b-mlx
LM-STUDIO MLXqwen3_5 · 9B · 4bit
Mar 11, 2026 · Apple M4
Global Score
65 vs 58
Hardware Fit
92 vs 68
Quality Score
54 vs 54
Hardware
qwen2.5:1.5b qwen3.5-9b-mlx
MachineiMacMac mini
CPUIntel Core™ i7-4771Apple M4
Cores810
RAM32 GB24 GB
GPUNVIDIA GeForce GTX 780MApple M4
OSmacOS 15.7.3macOS 26.3
Archx64arm64
Power Modebalancedbalanced
Performance
qwen2.5:1.5b qwen3.5-9b-mlx
Tokens/sec19.616.7
First chunk690 ms23 ms
TTFT690 ms14.1 s
Load time21.4 sN/A
Memory usage1.0 GB7.8 GB
Memory %3%33%
HW Fit Score Breakdown
qwen2.5:1.5b
Speed
42/50
TTFT
20/20
Memory
30/30
qwen3.5-9b-mlx
Speed
36/50
TTFT
3/20
Memory
29/30
Quality
qwen2.5:1.5b
Reasoning
8/20
Coding
9/20
Instruction
12/20
Structured
13/15
Math
5/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Adequate
qwen3.5-9b-mlx
Reasoning
10/20
Coding
16/20
Instruction
4/20
Structured
9/15
Math
10/15
Multilingual
5/10
Reasoning: Adequate Coding: Strong Instruction Following: Poor Structured Output: Adequate Math: Adequate 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