qwen2.5:7b
OLLAMA GGUFqwen2 · 7.6B · Q4_K_M
Nov 3, 2026 · Intel Gen Intel® Core™ i9-12900HX
qwen3.5-9b-mlx
LM-STUDIO MLXqwen3_5 · 9B · 4bit
Mar 12, 2026 · Apple M4 Pro
Global Score
85 vs 77
Hardware Fit
100 vs 67
Quality Score
79 vs 81
Hardware
qwen2.5:7b qwen3.5-9b-mlx
MachineMACHENIKE L16PMac mini
CPUIntel Gen Intel® Core™ i9-12900HXApple M4 Pro
Cores2414
RAM32 GB64 GB
GPUNVIDIA GeForce RTX 4060 Laptop GPUApple M4 Pro
OSMicrosoft Windows 11 专业版 10.0.26300macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced
Performance
qwen2.5:7b qwen3.5-9b-mlx
Tokens/sec52.120.3
First chunk41 ms4216 ms
TTFT41 ms4.2 s
Load time2.1 sN/A
Memory usage4.4 GB5.6 GB
Memory %14%9%
HW Fit Score Breakdown
qwen2.5:7b
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.5-9b-mlx
Speed
29/50
TTFT
8/20
Memory
30/30
Quality
qwen2.5:7b
Reasoning
14/20
Coding
18/20
Instruction
16/20
Structured
14/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
qwen3.5-9b-mlx
Reasoning
15/20
Coding
18/20
Instruction
16/20
Structured
14/15
Math
8/15
Multilingual
10/10
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