qwen2.5:7b
OLLAMA GGUFqwen2 · 7.6B · Q4_K_M
Nov 3, 2026 · Intel Gen Intel® Core™ i9-12900HX
qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 2, 2026 · Apple M4
Global Score
85 vs 80
Hardware Fit
100 vs 81
Quality Score
79 vs 80
Hardware
qwen2.5:7b qwen3.5:9b
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 qwen3.5:9b
Tokens/sec52.311.8
First chunk50 msN/A
TTFT50 ms523 ms
Load time2.0 s2.9 s
Memory usage4.4 GB9.1 GB
Memory %14%28%
HW Fit Score Breakdown
qwen2.5:7b
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.5:9b
Speed
21/50
TTFT
30/20
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
Reasoning
14/20
Coding
16/20
Instruction
15/20
Structured
15/15
Math
10/15
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