qwen2.5:7b
OLLAMA GGUFqwen2 · 7.6B · Q4_K_M
Nov 3, 2026 · Intel Gen Intel® Core™ i9-12900HX
qwen3.5-4b-mlx
LM-STUDIO MLXqwen3_5 · 4B · 4bit
Mar 3, 2026 · Apple M4
Global Score
85 vs 71
Hardware Fit
100 vs 88
Quality Score
79 vs 63
Hardware
qwen2.5:7b qwen3.5-4b-mlx
MachineMACHENIKE L16PMacBook Air
CPUIntel Gen Intel® Core™ i9-12900HXApple M4
Cores2410
RAM32 GB32 GB
GPUNVIDIA GeForce RTX 4060 Laptop GPUApple M4
OSMicrosoft Windows 11 专业版 10.0.26300macOS 26.3
Archx64arm64
Power Modebalancedbalanced
Performance
qwen2.5:7b qwen3.5-4b-mlx
Tokens/sec52.123.1
First chunk41 ms3279 ms
TTFT41 ms3.3 s
Load time2.1 sN/A
Memory usage4.4 GB2.9 GB
Memory %14%9%
HW Fit Score Breakdown
qwen2.5:7b
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.5-4b-mlx
Speed
45/50
TTFT
13/20
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
qwen3.5-4b-mlx
Reasoning
15/20
Coding
16/20
Instruction
6/20
Structured
6/15
Math
11/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Weak Structured Output: Weak 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